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Business FinanceTop 10 Best Asset Search Software of 2026
Compare asset search software options for due diligence, including MicroBilt, PropertyShark, and LexisNexis Risk Solutions, with tradeoffs for teams.
How we ranked these tools
Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.
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Framework: Features 40% · Ease 30% · Value 30%
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MicroBilt is the best choice for analysts who need repeatable entity matching for ownership reconciliation because its analyst-led record linking workflow standardizes entity resolution and reduces stale mismatches, while PropertyShark is the better alternative for address-led parcel lookups since its parcel-linked ownership and document-style records support clear note-taking and citations.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
MicroBilt
MicroBilt’s record linking workflow supports analyst-led match review to standardize entity resolution outputs.
Best for: Fits when analysts need repeatable entity matching to reconcile asset ownership and reduce stale records.
PropertyShark
Editor pickParcel search results that tie addresses to ownership and records style documentation for analyst workflows.
Best for: Fits when analysts need parcel-linked ownership and records data to enrich asset lists and research cases.
LexisNexis Risk Solutions
Editor pickEntity relationship-centric search that ties results into investigation context and supports controlled, auditable analyst workflows.
Best for: Fits when analysts need entity-linked asset research and case workflows that integrate with enterprise data feeds.
Comparison Table
MicroBilt
SMBSMB-focused data platform delivering asset search, skip tracing, and credit reporting tools for small businesses.
MicroBilt’s record linking workflow supports analyst-led match review to standardize entity resolution outputs.
MicroBilt supports analyst-driven research loops that combine entity search with record linking and result review, which helps reduce stale asset records created by inconsistent naming. It is commonly used for vendor and customer identity reconciliation tasks where mismatches create discovery coverage gaps and assignment errors. MicroBilt’s workflow emphasis fits teams that need consistent outputs across many searches, not just interactive browsing.
A tradeoff is that MicroBilt’s value concentrates on entity search and linkage workflows rather than agent-based scanning or OS-level inventory collection. MicroBilt works best when there is already a list of candidate assets or organizations to match, and the goal is to clean ownership attribution and improve network inventory accuracy before CI ingestion.
- +Entity resolution workflows reduce mismatches across supplier and account records
- +Analyst review steps support controlled linking decisions
- +Export-ready outputs fit CMDB and asset-tracking pipelines
- +Strong matching utility for ownership attribution cleanup tasks
- –Not designed for agent-based scanning or hardware fingerprint collection
- –Admin governance controls for large teams are less detailed than in CMDB-native tools
IT asset management teams
Reconcile asset ownership to companies
Cleaner CMDB relationships
Procurement operations analysts
Deduplicate supplier and site entities
Fewer duplicate vendor records
Show 1 more scenario
Security and risk teams
Validate third-party asset associations
More accurate third-party mapping
Search and linking workflows confirm the right entities for incident triage and asset exposure mapping.
Best for: Fits when analysts need repeatable entity matching to reconcile asset ownership and reduce stale records.
PropertyShark
vertical specialistReal estate data platform providing property ownership, title, and asset records search for U.S. properties.
Parcel search results that tie addresses to ownership and records style documentation for analyst workflows.
PropertyShark provides property and ownership research with records access across US real estate workflows. It focuses on parcel-level searching that helps analysts pull data tied to addresses, owners, and related property attributes.
The site is built around browse-and-lookup collection rather than automated agentless discovery or infrastructure inventory. For asset discovery reporting that depends on deed, lien, and ownership-linked details, PropertyShark can serve as a specialized external data source.
- +Parcel and ownership search centered on address-based lookups
- +Document-style property records support analyst note-taking and citation workflows
- +Wide coverage of US property-related identifiers for cross-referencing
- +Clear result pages that reduce time spent finding relevant fields
- –Not designed for network inventory or CMDB reconciliation workflows
- –Limited automation surface compared with API-first asset search tools
- –Data freshness depends on record ingestion timelines rather than polling
- –Asset lifecycle tracking and change history is not built for continuous monitoring
portfolio research teams
Screen properties across addresses and parcels
Consistent screening inputs
real estate investors
Investigate foreclosure and distressed assets
Record references for follow-up
Show 2 more scenarios
GIS users
Verify boundaries using parcel identifiers
Faster parcel attribution
GIS workflows use address or parcel identifiers to connect spatial context with property records.
acquisition teams
Build owner lists for outreach
Targeted ownership prospect lists
Acquisition teams compile targeted property and owner lists using geography and property attributes.
Best for: Fits when analysts need parcel-linked ownership and records data to enrich asset lists and research cases.
LexisNexis Risk Solutions
enterpriseEnterprise identity, public records, and asset search data tools for investigations and collections workflows.
Entity relationship-centric search that ties results into investigation context and supports controlled, auditable analyst workflows.
LexisNexis Risk Solutions supports asset search software workflows centered on risk and identity data rather than general IT inventory. It enables analysts to search across linked entities and documents using controlled views for case-style research. Exportable outputs support ongoing investigations with audit-focused usage patterns and review trails.
A concrete strength is entity relationship visibility that ties people and organizations to risk content inside investigation workflows. The tradeoff is that the solution is less suited for purely operational asset inventory needs without a risk and identity data context. It fits teams that need traceable decisions, such as regulated onboarding reviews or compliance screening recordkeeping.
- +Entity relationship search helps connect assets to people, accounts, and events
- +Case-style workflows keep investigative context attached to results
- +Export-ready outputs fit analyst review and downstream reporting
- +Enterprise governance patterns support controlled access and traceability
- –Asset discovery coverage depends on connected data sources rather than scanning
- –Search results can require curation when links are sparse or noisy
- –Automation depth is limited compared with systems built for continuous inventory
- –Configuration overhead can be noticeable for complex access and reporting setups
health plan operations teams
Oversee provider network roster changes
Organized provider records
trade compliance teams
Screen entities against sanctions lists
More consistent screening
Show 2 more scenarios
fraud and authentication teams
Investigate suspicious account access events
Consistent event handling
Fraud teams evaluate login signals with risk rules and route elevated events to step-up authentication or review.
regulated onboarding teams
Decide on new-customer account approvals
Auditable onboarding decisions
Onboarding teams combine identity proofing, document checks, identity resolution, and risk signals for auditable decisions.
Best for: Fits when analysts need entity-linked asset research and case workflows that integrate with enterprise data feeds.
SkipSmasher
vertical specialistSkip tracing and asset search database providing locate, asset, and people search tools for licensed investigators.
Query-driven asset search with organization and technology filtering tailored for analyst triage.
SkipSmasher is built for repeated investigations where a single query evolves into a structured shortlist of targets. Filters support narrowing by organization and technology signals, and exported result sets support handoffs to other tools for enrichment or reporting. The product is strongest when missing or stale asset records are a research gap rather than a scanner gap. SkipSmasher also fits workflows that require broad coverage across many orgs without pre-deploying endpoint agents.
- +Query-first asset search workflow for fast shortlist building
- +Granular filters by organization and technology signals
- +Exports support analyst-to-research handoff workflows
- +Works without endpoint agent rollout for broad coverage
- –Not an inventory system for OS-level state capture
- –Limited fit for ongoing asset lifecycle tracking without other tooling
Threat research analysts
Find exposed assets for a cohort
Shortlists for rapid validation
Vendor security teams
Assess third-party infrastructure footprint
Clearer scoping for reviews
Show 1 more scenario
IT risk analysts
Triage stale or missing asset records
Reduced discovery coverage gaps
Use search results to identify likely assets that should be checked in inventory systems.
Best for: Fits when analysts need broad asset discovery coverage to prioritize validation work.
TLOxp
enterpriseInvestigative research software for person, business, and asset discovery used by legal and compliance teams.
Investigation-first search result framing with relationship context designed for rapid case building.
TLOxp at tlo.com centers on asset search and network-oriented record enrichment for analyst workflows that need fast cross-reference across contact and business data tied to locations. The product’s distinct value is how search results are framed for investigation tasks, with fields and relationships arranged to reduce manual switching between sources.
- +Search results organize relationships and attributes for analyst workflows
- +Repeatable reporting supports recurring investigation routines
- +Exports fit downstream case file and spreadsheet review steps
- +Activity history helps track who ran which searches
- –Asset drift monitoring and change detection are not the focus
- –Network inventory depth is limited compared with scanner-first systems
- –Automation and API extensibility are not as prominent as UI workflows
- –Discovery coverage gaps can remain for less-mapped geographies
real estate due diligence teams
Search location-tied contact records
Less manual source switching
investigations analysts
Export and report on ongoing cases
Review-ready exported results
Best for: Fits when analysts need fast investigation-style asset search and exports rather than agent-led inventory reconciliation.
JupiterOne
API-firstJupiterOne continuously inventories cloud assets and security relationships across connected environments.
Entity relationship graph queries that connect discovered assets to ownership, exposure paths, and operational dependencies.
JupiterOne is an asset search and risk graph solution focused on pulling operational data into a connected entity model for investigation and reporting. The core capability is a graph-based inventory of cloud, SaaS, and infrastructure entities with relationship edges that support dependency and exposure queries.
- +Graph-first inventory model keeps relationships queryable for deeper asset context
- +API and automation connectors support repeatable discovery and enrichment workflows
- +RBAC and audit logs support controlled access to discovery outputs
- +Extensibility via custom queries helps adapt search to org-specific workflows
- –Asset discovery coverage can lag where edge protocols depend on niche tooling
- –Graph tuning and connector configuration require governance discipline
security and IT operations teams
Build a relationship-aware cloud inventory
Connected asset inventory
software asset management teams
Find dependency and license risk connections
Insight into license drift
Show 2 more scenarios
vulnerability management teams
Prioritize exposure with asset relationships
Traceable exposure findings
Exposure teams map assets and findings to establish baselines and prioritize remediation with supporting context.
incident response teams
Group findings by connected investigation context
More structured investigations
Responders group related findings by connected identities, resources, and assets while tracking investigation activity.
Best for: Fits when teams need asset search tied to dependency relationships across hybrid cloud and SaaS systems.
REALSTACK
vertical specialistAsset investigation and skip tracing platform focused on finding people, businesses, real estate, and related assets.
Discovery evidence is preserved and linked to asset search results so investigations can validate matches without switching systems.
REALSTACK is positioned for analysts who need to pivot from a vague question to concrete asset matches, then validate ownership and state using attached discovery evidence. The workflow relies on consistent asset records across scanning inputs, then uses search filters to narrow results without building custom reports for every question.
- +Analyst search workflow reduces time spent rebuilding ad hoc reports
- +Indexing of discovery outputs makes asset comparisons faster
- +Refresh-oriented record updates help surface stale findings sooner
- +Supports investigation pivots across infrastructure and software evidence
- –Coverage quality depends on which discovery connectors are enabled
- –High-value queries can require careful filter configuration discipline
- –Complex reconciliation workflows may need external tooling for automation
- –Large environments can expose query latency without tuning
IT asset management analysts
Reconcile CMDB drift faster
Fewer stale asset tickets
Network operations teams
Triage perimeter scan findings
Shorter incident validation cycles
Show 1 more scenario
Software license compliance teams
Map installs to reconciliation questions
More accurate license reconciliation
Query software-related inventory evidence to verify where packages appear and which assets they belong to.
Best for: Fits when analysts need fast asset evidence search for reconciliation investigations across mixed environments.
Reftab
SMBReftab tracks equipment, software, consumables, checkouts, maintenance, and asset locations.
Reftab’s investigation workspace keeps search results, review states, and pinned findings in one analyst loop.
Reftab focuses on asset search across public and enterprise sources with an analyst workflow built around query-driven results review. It provides filtering for organizations, domains, and asset types, plus review states to track triage from first pass to confirmed records.
- +Query workflow supports iterative triage and documented review states
- +Strong filtering by organization and asset characteristics for faster narrowing
- +Pinning and workspaces help keep investigation context across sessions
- +Export-ready results support downstream network inventory and reconciliation
- –Discovery depth depends on available sources rather than agent coverage
- –Governance controls for team workstreams are limited for enterprise RBAC needs
distributed equipment organizations
Track assets when custodian changes
Visibility into ownership changes
IT asset managers
Review controlled updates to asset records
Traceable inventory updates
Show 2 more scenarios
facilities equipment teams
Document maintenance on returns
Complete service record
Facilities teams capture maintenance activity and condition notes when equipment is returned or serviced.
equipment reservation teams
Coordinate shared equipment availability
Fewer ad hoc handoffs
Teams track availability before issuing shared equipment to reduce ad hoc handoffs.
Best for: Fits when analysts need repeatable asset searches for investigations and network inventory reconciliation.
Lansweeper
enterpriseLansweeper scans networks and endpoints to identify hardware, software, users, and cloud resources.
Scheduled discovery runs that continually refresh asset fingerprints and attributes to reduce stale records over time.
Lansweeper performs automated network and endpoint inventory by combining discovery scans with asset detail enrichment. It maintains an inventory and change-focused view that supports reconciliation workflows, including software inventory and version-level hardware attributes.
- +Broad discovery paths combine scanning and endpoint inventory into one asset record
- +Discovery scheduling supports recurring inventory refresh and drift detection
- +Version and fingerprint details improve CMDB reconciliation accuracy
- +Reports can be filtered by device, OS, and network attributes for audit workflows
- –Hybrid discovery tuning can be complex across network segments and endpoints
- –Some deeper automation requires administrative configuration rather than simple switches
- –Large environments can demand careful scan pacing to control throughput and load
- –Data accuracy depends on agent and connectivity coverage across subnets
IT asset infrastructure teams
Keep device and application inventory current
More current inventory
IT operations and audit teams
Verify newly added or removed assets
Recurring reconciliation evidence
Show 2 more scenarios
IT operations and decommissioning teams
Scope retirement impact across installations
Device-level retirement impact
Decommissioning teams map software installations to related assets before retiring applications or infrastructure.
software asset managers
Identify potential license gaps from installs
Reports for license gap review
Software asset managers compare discovered installations and license-related details against entitlement records.
Best for: Fits when teams need scheduled discovery and inventory reconciliation across on-prem and hybrid networks.
runZero
enterpriserunZero discovers and inventories network-connected assets across on-premises and cloud environments.
Ownership-first asset reconciliation workflows that turn discovery gaps into actionable remediation paths for analysts and operations.
runZero focuses on visualizing and reconciling asset ownership and configuration across networks, endpoints, and cloud targets. Asset discovery is driven by scan results plus integrations, then normalized into a workflow that highlights gaps, drift, and stale records.
- +Workflow views connect discovery results to ownership and remediation tasks
- +Integration support covers both endpoint and network inventory signals
- +Automation reduces manual cleanup of stale asset records
- +Governance features include RBAC and audit log visibility for analyst workflows
- –Discovery coverage gap remediation can require tuning scan inputs and schedules
- –Some advanced normalization and automation patterns depend on deeper setup
IT asset managers and security operations teams
Maintain an end-to-end device census
Continuously reconciled inventory
IT service management teams
Reconcile CMDB ownership with discovery data
Fewer stale records
Show 2 more scenarios
vulnerability management teams
Prioritize remediation using asset context
Risk-ranked remediation work
Vulnerability teams correlate scanner findings with asset and exposure context to focus higher-risk issues.
network and infrastructure operations teams
Validate network and service change effects
Earlier unintended-change detection
Operations teams compare scan history and asset relationships to detect unintended configuration changes earlier.
Best for: Fits when analysts need network and endpoint inventory reconciliation with governance-grade reporting for ongoing asset drift control.
Conclusion
After evaluating 10 asset search software, MicroBilt stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right Asset Search Software
Asset search software is used by analysts to run targeted queries against discovered records, then narrow results by organization and technology signals to prioritize validation work. This buyer's guide covers SkipSmasher, MicroBilt, and Delvepoint-style workflows alongside nine other tools that support analyst triage, entity resolution, and investigation-centered search.
Several tools focus on different endpoints of the analyst workflow, such as query-first asset filtering in SkipSmasher and record linking with match review steps in MicroBilt. Other options like REALSTACK emphasize preserving discovery evidence inside search results, while runZero shifts the emphasis toward ownership-first reconciliation workflows.
Asset Search Software for analyst triage, reconciliation, and investigation evidence
Asset search software centralizes discovered asset records so analysts can query, filter, and export results without rebuilding ad hoc reports. SkipSmasher centers on a query-first workflow that uses organization and technology filters to produce shortlists for validation.
MicroBilt emphasizes entity resolution with analyst-led match review steps that standardize entity linking outcomes across supplier and account records. REALSTACK extends the search loop by preserving and linking discovery evidence to search results so investigations can validate matches without switching systems. Tools in this category also differ in how they connect search output back to governance needs, such as review states and workflow framing for ongoing reconciliation and analyst repeatability.
Analyst-centric search mechanics, evidence handling, and reconciliation workflows
Asset search software succeeds when analysts can run targeted queries, narrow results with precise filters, and export shortlists that match real validation work. Different tools emphasize different loops, such as SkipSmasher query-first triage, MicroBilt match-review entity resolution, and REALSTACK evidence preservation inside the search result view.
Query workflow with organization and technology filters for shortlist building
SkipSmasher uses a query-first asset search workflow with granular filters by organization and technology signals to produce analyst-ready shortlists. Reftab also supports iterative triage, but it centers the analyst loop around an investigation workspace rather than query-first shortlist shaping.
Entity resolution with analyst-led match review states
MicroBilt provides record linking workflows that support analyst-led match review to standardize entity resolution outputs. LexisNexis Risk Solutions ties asset research into case-style workflows with entity relationship search, which reduces context switching but can depend on connected data sources.
Discovery evidence preservation inside results for investigation validation
REALSTACK preserves discovery evidence and links it to asset search results so investigations can validate matches without switching systems. runZero focuses on turning discovery gaps into ownership and remediation tasks, which supports ongoing reconciliation rather than evidence-first validation.
Reconciliation workflow framing for ongoing asset drift control
runZero provides workflow views that connect discovery results to ownership and remediation tasks to support ongoing asset drift control. Lansweeper refreshes asset fingerprints and attributes through scheduled discovery runs, which supports recurring inventory reconciliation over time.
Investigation workspace repeatability with documented review outputs
Reftab keeps search results, review states, and pinned findings in one analyst loop to keep investigative evidence and decisions together. TLOxp frames results for investigation-style exports and recurring investigation routines, but it is less focused on network inventory depth.
Choose the tool that matches the analyst loop: triage, entity linking, evidence validation, or reconciliation remediation
Asset search tools differ most by how they route analyst effort from query to validation to governance outputs. Selection should start with the dominant loop that must be repeatable, then move to what the tool can do without switching systems.
Match the analyst loop to the tool’s search framing
If the required workflow is fast shortlist building with organization and technology filtering, SkipSmasher fits that query-first triage loop. If the required workflow is relationship-centric research tied to investigation context, LexisNexis Risk Solutions frames results to keep case context attached to the search output.
Select entity resolution depth when stale records come from mismatched entities
If the problem is supplier and account entity mismatch that needs controlled linking decisions, MicroBilt supports analyst review steps for controlled record linking. If entity relationships must connect assets to people, accounts, and events from enterprise feeds, LexisNexis Risk Solutions centers entity relationship search inside case workflows.
Require evidence-backed investigations inside the search result view
If investigations must validate discovery matches without leaving the search experience, REALSTACK links preserved discovery evidence directly to search results. If the workflow is about evidence accumulation plus ongoing remediation paths, runZero connects discovery gaps to ownership and remediation tasks instead of emphasizing evidence preservation inside results.
Pick reconciliation and drift control based on how refresh happens
If the team needs scheduled refresh of asset fingerprints and attributes for drift reduction over time, Lansweeper centers recurring discovery scheduling. If the team needs reconciliation outputs to attach to ownership and action tracking, runZero builds workflow views that connect discovery results to remediation tasks.
Use workspaces for repeatability only when review state matters
If repeatable investigation work depends on keeping search results, review states, and pinned findings in one loop, Reftab provides an investigation workspace designed for that. If repeatability is mainly export-driven for recurring investigation routines, TLOxp emphasizes investigation-style result framing and reporting rather than enterprise RBAC depth.
Verify discovery coverage assumptions against required source types
If the organization expects coverage through connector-based inputs, REALSTACK flags that coverage quality depends on which discovery connectors are enabled. If the organization expects edge protocols that rely on niche tooling, JupiterOne notes that discovery coverage can lag for those edge cases while still offering graph-first relationship queries.
Who benefits from analyst-focused asset search and reconciliation workflows
Analyst teams benefit when asset search supports the exact cycle they run during validation and investigations. Different tools fit different analyst roles, including triage-heavy validation, entity resolution work, evidence-backed investigations, and ownership-driven remediation.
Threat research and due diligence analysts who need query-first asset triage
SkipSmasher supports query-first asset search with granular filters by organization and technology signals to build shortlists quickly for validation.
Asset ownership and entity reconciliation teams focused on match review decisions
MicroBilt’s record linking workflow includes analyst review steps that standardize entity resolution outputs and reduce mismatches across supplier and account records.
Reconciliation investigators who must validate discovery matches using evidence inside results
REALSTACK preserves discovery evidence and links it to asset search results so investigators can confirm matches without switching systems.
Operations teams that need ownership-first remediation tied to discovery gaps
runZero connects discovery results to ownership and remediation tasks so discovery coverage gaps turn into actionable next steps for analysts and operations.
Security and risk analysts using case workflows across multiple enterprise feeds
LexisNexis Risk Solutions provides entity relationship-centric search with case-style workflows that keep investigative context attached to results.
Common pitfalls when selecting Asset Search Software for analyst workflows
Selection errors usually happen when teams assume asset search will also replace inventory and reconciliation depth. Other failures happen when governance expectations conflict with what the tool actually operationalizes in the analyst workflow.
Choosing a query-first triage tool when the workflow must deliver ongoing lifecycle reconciliation
SkipSmasher supports analyst shortlist building but is not an inventory system for OS-level state capture, so teams needing asset drift monitoring and change detection should evaluate tools like runZero or Lansweeper.
Expecting scanning or fingerprint refresh when the tool is focused on investigation search over connected datasets
LexisNexis Risk Solutions ties asset research to connected data sources rather than scanning, so teams expecting network discovery coverage should not treat it as a replacement for scanner-centered inventory tools.
Ignoring evidence handling requirements during investigations that depend on match validation
REALSTACK is built to link preserved discovery evidence to asset search results, so tools without evidence-first result linking can force analysts to rebuild validation context outside the search view.
Underestimating connector and coverage dependency when discovery quality varies by enabled sources
REALSTACK notes that coverage quality depends on which discovery connectors are enabled, so teams with mixed environments should validate connector availability against the asset sources that must be searchable.
Assuming enterprise RBAC and governance will match CMDB-native expectations in workspace tools
Reftab and TLOxp describe limited governance depth for enterprise RBAC needs, so teams requiring extensive governance controls should evaluate reconciliation-first approaches like runZero or scheduled refresh workflows like Lansweeper.
How We Selected and Ranked These Tools
We evaluated asset search software by weighting analyst workflow quality at 40% for query mechanics, filter precision, and analyst review loops. We weighted ease and value at 30% each for the friction of using search results for validation and exports.
SkipSmasher ranked highest because its query-driven asset search workflow produces fast analyst shortlists using granular filters by organization and technology signals. We also considered how each tool handles evidence visibility and reconciliation framing so investigators and operations teams can keep the search loop consistent from triage to action.
Frequently Asked Questions About Asset Search Software
Which tools support query-driven analyst workflows for asset discovery results review?
How do MicroBilt and REALSTACK differ when reconciliation depends on record matching versus evidence indexing?
When is an investigation-first data framing better than agent-first inventory for asset searches?
What breaks if an asset search workflow lacks RBAC, audit log visibility, or environment separation?
How do tools integrate discovery and reporting pipelines through APIs and connectors?
Which tool is better suited for enterprise environments where asset search output must preserve relationships for investigations?
How does Reftab handle stale asset record investigations compared with Lansweeper’s scheduled discovery?
Where does PropertyShark fit relative to infrastructure-oriented asset discovery tools like SkipSmasher and Lansweeper?
When building cross-environment asset coverage for hybrid networks, how do integration and refresh capabilities affect results?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
Funding and competing interests
This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.
They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.
Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →
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