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Science ResearchTop 10 Best Flow Analysis Software of 2026
Ranking roundup of flow analysis software tools for engineers and analysts, with side-by-side criteria and tradeoffs that narrow the shortlist.
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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OpenFOAM is the most reliable pick when engineering teams need configurable, reproducible CFD workflows with solver-level control, while Autodesk CFD fits better if you want CAD-aligned iteration for flow-field and pressure-drop decisions.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
OpenFOAM
Case-driven solver selection and configuration make physics and numerics reproducible across batches of runs.
Best for: Fits when engineering teams need configurable CFD workflows with reproducible, versioned case setup.
Autodesk CFD
Editor pickCadence between CAD changes and CFD reruns is designed for iterative design review in Autodesk workflows.
Best for: Fits when teams need CAD-aligned CFD iteration for flow-field and pressure-drop decisions.
Tableau
Editor pickTableau’s parameter controls and interactive mapping make it practical to compare flow patterns across segments and time windows.
Best for: Fits when operations teams need interactive flow analytics on event or telemetry datasets.
Comparison Table
OpenFOAM
API-firstOpen-source CFD software for custom numerical flow simulations and solver development.
Case-driven solver selection and configuration make physics and numerics reproducible across batches of runs.
OpenFOAM is the primary choice for teams that want control over discretization choices, physics selection, and post-processing inputs using a case directory structure. It supports steady-state simulation and transient simulation, and it produces field outputs that can be used for streamline visualization, velocity-field analysis, and pressure-drop calculation. The solver suite and extensibility through custom code or additions fit workflows where repeated parametrized runs are needed for design studies. The admin surface is limited compared with commercial analysis suites, so governance typically relies on repository-controlled case files and scripted execution rather than built-in RBAC or audit log features.
A key tradeoff appears in setup and iteration speed because convergence behavior, mesh quality, and boundary condition specification require hands-on tuning. OpenFOAM fits best when teams can treat simulation configuration as versioned engineering artifacts and can invest in automation around case generation, batch runs, and field-data export.
- +Deep solver customization through field dictionaries and physics libraries
- +Scriptable case execution supports high-throughput parametric studies
- +Rich field outputs for streamline, vorticity, and pressure post-processing
- +Extensible codebase supports custom models and workflow automation
- –Requires configuration discipline to maintain consistent solver and boundary setups
- –Convergence tuning can slow iteration for new geometries
- –GUI-driven workflows are limited compared with commercial CFD tools
- –Mesh generation quality directly affects stability and accuracy
CFD process engineering teams
Transient flow simulations for design iterations
Lower iteration risk from repeatable runs
Research groups
Custom turbulence model development
Faster model comparison cycles
Show 1 more scenario
Plant engineering analysts
Pressure-drop prediction for piping changes
More defensible change assessments
OpenFOAM computes pressure and velocity fields and supports export for reporting and downstream analysis.
Best for: Fits when engineering teams need configurable CFD workflows with reproducible, versioned case setup.
Autodesk CFD
SMBCFD software for predicting fluid flow, heat transfer, and ventilation performance.
Cadence between CAD changes and CFD reruns is designed for iterative design review in Autodesk workflows.
Autodesk CFD is a fit for teams that already work in Autodesk CAD and want CFD analysis without breaking the geometry handoff chain. It is oriented around interactive setup of boundary conditions and solver execution, then viewing results through streamline and field visualizations that support design review. For process insight work that depends on pressure drop and flow-field interpretation, it can shorten the loop between geometry changes and result interpretation.
A key tradeoff is that setup quality and mesh quality strongly affect solver convergence behavior, which can add iteration time when geometries are complex or feature-heavy. It is best used when the engineering questions match its typical simulation scope, such as regime studies that compare flow conditions or transient runs that require time-resolved field inspection.
- +Autodesk CAD-to-simulation workflow reduces geometry rework overhead
- +Field visualizations support rapid pressure and velocity interpretation
- +Steady-state and transient simulation support common process questions
- +Turbulence modeling options cover typical engineering regimes
- –Convergence is sensitive to mesh density near critical boundaries
- –Automation and API coverage are limited compared with developer-first CFD stacks
Mechanical engineering teams
Optimize cooling airflow ducting
Fewer design cycles
Manufacturing process engineers
Diagnose transient flow in equipment
Clear time-window diagnosis
Show 1 more scenario
Product developers
Compare regimes for housings
Regime selection confidence
Teams vary boundary conditions to see which flow regime matches performance expectations.
Best for: Fits when teams need CAD-aligned CFD iteration for flow-field and pressure-drop decisions.
Tableau
enterpriseVisual analytics that includes flow and path-style analysis for exploring how data moves.
Tableau’s parameter controls and interactive mapping make it practical to compare flow patterns across segments and time windows.
Tableau supports interactive filtering, calculated fields, and parameter controls that let teams compare flow patterns across time windows, segments, and locations. It can ingest data from warehouse and file sources, then reshape it for analysis through data source definitions and relationships, with refresh-based updates to keep dashboards current. Tableau also offers extensibility through JavaScript and server-side extensions, which helps integrate custom map interactions and domain-specific UI elements.
A key tradeoff is that Tableau is not a numerical solver, so it cannot substitute for boundary-condition setup, mesh independence studies, or residual monitoring used in CFD and finite-volume workflows. Tableau works best when flow analysis starts from already computed signals or event streams, such as stage transitions, velocity telemetry summarized into fields, or route execution logs.
Governance and automation are workable for distributed teams, because Tableau Server and Tableau Cloud provide role-based access to workbooks, scheduled refresh, and content permissions for published assets.
- +High-fidelity interactive dashboards for filterable flow investigation
- +Parameter-driven views support scenario comparisons without rebuilding reports
- +Built-in geospatial layers help visualize movement and routing patterns
- +Extensibility via JavaScript enables custom interactions on dashboards
- –No native CFD or solver workflow for boundary conditions and convergence checks
- –Complex data blending and extract logic can add maintenance overhead
- –Trajectory reconstruction often needs preprocessing outside Tableau
- –Automation depth is weaker than dedicated workflow engines for event processing
Supply chain analytics teams
Visualize shipment flow across network
Faster root-cause for delays
Process mining analysts
Track stage-to-stage transitions
Clearer bottleneck isolation
Show 2 more scenarios
Field operations leaders
Compare movement patterns over time
Quicker pattern change detection
Leaders load telemetry aggregates into geospatial views, then validate changes via side-by-side dashboards.
Data engineering teams
Govern published flow reports
Lower reporting inconsistency
Teams schedule refreshes and manage workbook permissions to keep flow dashboards consistent for stakeholders.
Best for: Fits when operations teams need interactive flow analytics on event or telemetry datasets.
COMSOL Multiphysics
enterpriseMultiphysics modeling software with a dedicated computational fluid dynamics module.
Multiphysics-native coupling lets flow models exchange fields with other physics in a single discretized system.
COMSOL Multiphysics pairs a multiphysics modeling environment with solver-driven computational fluid dynamics workflows. It supports CAD geometry import, mesh generation, and physics coupling across laminar and turbulent flow regimes using finite element discretization.
- +Multiphysics coupling inside one model build for coupled fluid behavior
- +Automated parametric sweeps for boundary conditions and geometry parameters
- +Strong in-app post-processing for velocity and derived flow quantities
- +Extensive CAD import and meshing controls for complex fluid domains
- –Finite element setup and meshing strategy can dominate project effort
- –Large transient studies can demand careful solver convergence tuning
- –Automation requires scripting discipline to keep models reproducible
- –Some CFD-specific workflows need extra physics configuration beyond defaults
Best for: Fits when engineering teams need coupled physics flow simulation with in-model meshing and detailed post-processing.
Pipe Flow Expert
SMBPipe network analysis software for calculating pressure loss, flow rates, and pump requirements.
One workflow combines hydraulic loss calculations with thermal sizing checks for the same piping network.
Pipe Flow Expert calculates and visualizes pressure loss, flow rate, and velocity across complex piping networks so operators can validate hydraulic performance. It supports thermal and fluid property inputs to size piping for heat transfer and pressure constraints. The tool emphasizes pipe-network steady-state analysis with results that include friction losses, elevation effects, and summary reports for system-level review.
- +Focuses on end-to-end pipe network loss and flow calculations
- +Handles elevation, fittings, and fluid property assumptions in one model
- +Produces summary outputs suitable for system hydraulic review
- +Thermal workflow supports sizing under pressure and heat constraints
- –Primarily targets steady-state network analysis rather than transient CFD
- –Advanced automation and API integration is not a core differentiator
- –Extensibility for custom solver logic is limited by its workflow model
- –Large networks can increase setup time with detailed component entry
Best for: Fits when engineers need fast hydraulic sizing and loss reporting for piping systems.
KYPipe
vertical specialistPipeline and pipe-network modeling software for hydraulic, transient, and gas-flow analysis.
Pipeline-driven flow view generation from configurable ingestion and transformation steps.
KYPipe focuses on turning industrial process logs into analyzable flow data for process insight and operational decision support. The core workflow centers on importing time-ordered signals, transforming them with configurable parsing and normalization steps, and generating traceable flow views that analysts can interpret.
- +Configurable ingestion and normalization for heterogeneous process logs
- +Repeatable pipelines for consistent flow analysis across runs
- +Traceable intermediate outputs that support analyst review
- +Integration points for automation beyond interactive usage
- –Limited support for mesh-based CFD workflows and solver coupling
- –Some analysis steps require careful configuration to avoid bias
- –Governance coverage is stronger for projects than for fine-grained assets
- –Throughput can lag when very large event histories are reprocessed
Best for: Fits when teams need repeatable flow-oriented process analysis from existing run telemetry.
CONVERGE CFD
vertical specialistCFD software with automated meshing for turbulent, reacting, and multiphase flow simulations.
Convergence-centric residual monitoring and solver controls tailored for stable iterative CFD runs.
CONVERGE CFD differentiates itself through an integration path built around directly running high-resolution CFD workflows on imported CAD geometry. It supports steady-state and transient simulations with solver settings centered on controlling convergence behavior via residual monitoring and solver controls. Core capabilities include meshing support for boundary condition setup, field postprocessing for velocity and pressure related results, and output suitable for downstream engineering review.
- +Convergence-focused solver controls with residual monitoring for iterative runs
- +Direct CAD-to-simulation workflow for practical boundary condition setup
- +Steady and transient workflows for design changes across time behavior
- +Field postprocessing aimed at velocity and pressure result interpretation
- –Setup and mesh quality tuning can require repeated iteration
- –Automation depth depends heavily on workflow familiarity rather than exposed APIs
- –Advanced multiphysics and meshing options can involve add-on workflow decisions
- –Large model throughput may be limited by solver and meshing configuration effort
Best for: Fits when teams need repeatable CAD-driven CFD runs with strong solver convergence control.
Dassault Systèmes SIMULIA PowerFLOW
enterpriseSIMULIA PowerFLOW performs transient CFD simulation using the lattice Boltzmann method for external aerodynamics and thermal management.
Workflow automation around PowerFLOW analysis sequences for repeatable CFD setup, execution monitoring, and standardized post-processing.
Dassault Systèmes SIMULIA PowerFLOW targets flow analysis work with CFD workflows that integrate tightly with Dassault Systèmes simulation ecosystems. It supports steady and transient fluid simulation with meshing tools, solver setup controls, and detailed field post-processing for velocity, pressure, and derived flow metrics.
- +End-to-end CFD workflow from meshing through solver runs and field results
- +Case monitoring supports practical convergence and residual tracking during solves
- +Strong derived field and streamline style visualization for velocity-field interpretation
- +Integration with Dassault Systèmes simulation data workflows for managed reuse
- –Grid quality and boundary condition setup take disciplined configuration
- –Automation and API access require deeper admin enablement than simpler CFD GUIs
- –Larger transient studies can demand careful compute planning and iteration control
- –Native coupling breadth across non-Dassault geometry sources can be uneven
Best for: Fits when engineering teams run recurring CFD studies inside Dassault Systèmes ecosystems.
Gephi
SMBNetwork analysis and graph visualization for analyzing flows represented as edges.
Built-in modularity and community detection with integrated metric views for iterative refinement.
Gephi turns node and edge data into interactive network visualizations and network metrics, making it a fit for exploring relationships rather than running physical solvers. The core workflow centers on graph import, layout algorithms, community detection, and metric views like centrality and modularity, then exporting images or graph artifacts.
- +Real-time graph exploration with interactive filters and style controls
- +Strong built-in metrics for centrality and community structure
- +Multiple layout algorithms support rapid visual iteration
- +Plugin system extends analysis and import capabilities
- –Workflow depends on external data prep into graph edge lists
- –Large graphs can become slow during layout and rendering
- –Automation and API surface are limited compared with integration-first tools
- –Reproducibility requires careful recording of layout and metric settings
Best for: Fits when teams need interactive relationship analysis and visual proof from graph data.
Flowable
enterpriseFlowable is a process orchestration platform with flow analysis dashboards for business processes, case management, and BPMN workflows.
Event listener and command-layer hooks that let workflow state transitions emit structured analytics events.
Flowable targets teams that need workflow and process automation with process orchestration as the central capability. It provides BPMN-based execution, human task management, and event-driven integrations for moving work between systems.
- +BPMN execution with fine-grained control over task lifecycles
- +REST and event hooks for feeding process telemetry into analytics
- +Human task features built into the workflow runtime
- +Extensible listeners support custom handling on state changes
- –Flow analysis depends on custom event mapping into reporting
- –Governance features for analytics datasets require additional design
- –Complex process models increase maintenance and monitoring effort
- –Out-of-the-box flow visualization is limited compared with analytics-first tools
Best for: Fits when teams need process execution telemetry and custom flow analysis pipelines.
Conclusion
After evaluating 10 flow analysis software, OpenFOAM 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 Flow Analysis Software
Teams buying flow analysis software usually want either physics-grade CFD case execution or process and telemetry analytics that map events into flow-like patterns. This guide covers OpenFOAM, Autodesk CFD, Tableau, COMSOL Multiphysics, Pipe Flow Expert, KYPipe, CONVERGE CFD, Dassault Systèmes SIMULIA PowerFLOW, Gephi, and Flowable.
The tool set spans three common work styles: reproducible CFD solver configuration with OpenFOAM, CAD-aligned iteration with Autodesk CFD, and analytics-first exploration with Tableau and Gephi. It also includes workflow execution telemetry with Flowable and pipeline-driven process analysis with KYPipe.
Flow Analysis Software for simulation and telemetry-driven flow investigation
Flow analysis software converts geometry, boundary conditions, and solver settings into interpretable velocity and pressure-field outputs for computational fluid dynamics workflows, or it converts event and process signals into structured views of flow behavior. OpenFOAM fits teams that need case-driven solver selection and configuration that stays reproducible across batches of runs.
Autodesk CFD fits teams that need CAD-aligned iteration for recurring flow-field and pressure-drop decisions, but its automation and API coverage is more limited than developer-first CFD stacks. Tableau and Gephi sit on the analytics side, where flow investigation depends on interactive filtering and segment comparisons rather than native boundary condition and convergence workflows. Other entries like COMSOL Multiphysics and SIMULIA PowerFLOW add end-to-end CFD workflow execution and monitoring inside their ecosystems, but they still require disciplined grid quality and boundary configuration to avoid slow solver convergence.
Flow analysis capabilities that decide real workflow fit
Teams need a flow analysis workflow that stays consistent from input definition to interpreted outputs, because small mismatches in boundary conditions, case configuration, and run automation create misleading velocity and pressure comparisons. This section focuses on tools that handle those decisions with either reproducible CFD case execution or telemetry-to-flow analytics pipelines.
Reproducible case configuration and batch execution
OpenFOAM keeps solver selection and configuration reproducible across batches through case-driven setup based on field dictionaries and physics libraries. CONVERGE CFD emphasizes convergence-centric solver controls paired with CAD-to-simulation workflows that repeat stable iterative runs.
CAD-aligned iteration and geometry-driven rework control
Autodesk CFD is built for iterative design review when CAD changes must trigger CFD reruns with minimal geometry rework overhead. COMSOL Multiphysics supports flow coupling in-model with meshing and detailed post-processing, which keeps model edits inside a single discretized system.
Automation surface for repeatable studies
OpenFOAM supports scriptable case execution for high-throughput parametric runs using the same configured case structure. Dassault Systèmes SIMULIA PowerFLOW adds workflow automation around meshing, solver runs, execution monitoring, and standardized post-processing for recurring CFD sequences.
Data exploration that compares flow patterns across segments and windows
Tableau adds parameter-driven interactive views for filterable flow investigation and scenario comparisons without rebuilding reports from scratch. Gephi provides real-time graph exploration with interactive filters and built-in metrics that help compare relationships and communities when flow-like patterns come from graph data.
Telemetry-to-flow mapping and event-driven analytics integration
KYPipe generates repeatable flow-oriented process analysis from configurable ingestion and transformation steps applied to heterogeneous process logs. Flowable emits structured analytics events through event listeners and command-layer hooks so custom flow analysis pipelines can feed process telemetry into reporting.
Choose the execution model that matches the source of “flow” in the work
Decision-making changes based on where flow meaning originates, because CFD “flow” comes from boundary conditions and solver convergence while telemetry “flow” comes from event mappings and pipeline transformations. The steps below split choices by workflow philosophy first, then by integration and governance depth where those controls matter.
Pick the execution engine when flow comes from physics cases
If flow analysis output depends on consistent solver configuration across many runs, OpenFOAM and CONVERGE CFD align the case structure with solver and convergence behavior. If flow analysis depends on coupled physics inside one discretized model build, COMSOL Multiphysics is the more direct choice.
Pick CAD-aligned iteration when geometry changes drive the cadence
If design review cycles require CAD-aligned CFD reruns with pressure and velocity interpretation tied to geometry changes, Autodesk CFD matches that iteration cadence. If the workflow must stay inside the Dassault Systèmes ecosystem with automated sequences for meshing through monitoring and post-processing, Dassault Systèmes SIMULIA PowerFLOW supports that recurring CFD workflow.
Pick analytics-first tools when flow patterns come from datasets or graphs
If the goal is filterable comparisons of flow patterns across segments and time windows without native solver boundary and convergence workflows, Tableau fits interactive analysis of event or telemetry datasets. If flow-like relationships are represented as graph edges and the work requires interactive community detection and centrality metrics, Gephi is the better fit.
Pick telemetry pipelines when “flow analysis” is process-oriented
If teams need configurable ingestion and normalization that turns heterogeneous run logs into repeatable flow-oriented process analysis views, KYPipe matches that pipeline-driven approach. If teams need BPMN execution telemetry with REST and event hooks so task lifecycle state transitions become structured analytics events, Flowable fits the process execution telemetry pattern.
Check automation depth and integration effort against staffing reality
If high-throughput studies rely on scriptable case execution and developer-style automation, OpenFOAM can reduce friction for teams that maintain consistent solver and boundary configurations. If automation depends on more admin enablement inside an enterprise ecosystem workflow, Dassault Systèmes SIMULIA PowerFLOW requires disciplined setup of grid quality and boundary configuration to avoid slow convergence.
Who should buy which Flow Analysis Software based on workflow ownership
Flow analysis software ownership differs across engineering simulation teams and operations analytics teams, because CFD tools manage boundary conditions and convergence while analytics tools manage dataset blending, parameter controls, and event mappings. The profiles below match who does the configuration work and what must remain reproducible.
CFD engineering teams running repeatable study batches
OpenFOAM fits teams that need case-driven solver selection and configuration that stays reproducible across batches using field dictionaries and physics libraries. CONVERGE CFD fits teams that prioritize convergence-centric residual monitoring while keeping a CAD-to-simulation workflow for boundary setup.
Design teams iterating with CAD-driven review cycles
Autodesk CFD fits teams that need CAD-aligned CFD reruns for iterative flow-field and pressure-drop decisions with interpretation tied to design changes. COMSOL Multiphysics fits teams that want multphysics-native coupling with in-model meshing and detailed post-processing so coupled field exchange stays in one model build.
Operations and analytics teams investigating event or telemetry patterns
Tableau fits teams that need interactive filterable investigations with parameter-driven views to compare flow patterns across segments and time windows. Gephi fits teams that model flow-like behavior as relationships in graph data and need built-in metrics for centrality and community structure.
Process automation teams mapping task lifecycles into analytics
Flowable fits teams that want BPMN execution with fine-grained control over task lifecycle state transitions and structured analytics events via event hooks. KYPipe fits teams that need repeatable pipeline-driven normalization and transformation for heterogeneous process logs into flow-oriented analysis views.
Common buying pitfalls that break flow analysis outcomes
Buying missteps often come from choosing a tool that covers the visual output but not the configuration discipline behind it. Other failures come from treating telemetry patterns as if they were CFD-ready without a strict event-to-flow mapping plan.
Choosing a dashboard tool for CFD-ready workflows
Tableau cannot provide native CFD solver boundary condition and convergence checks, so velocity and pressure outputs still require a physics workflow elsewhere. OpenFOAM or COMSOL Multiphysics are the safer choice when the workflow depends on solver convergence behavior and case configuration reproducibility.
Assuming CAD iteration will stay stable without convergence and mesh attention
Autodesk CFD convergence is sensitive to mesh density near critical boundaries, so rapid CAD iteration can still cause solver instability if mesh strategy is not controlled. COMSOL Multiphysics can place meshing and multphysics coupling in one build, but large transient studies still demand careful solver convergence tuning.
Mapping process telemetry into flow analysis without an explicit transformation plan
Flow analysis in Flowable depends on custom event mapping into reporting, so telemetry gaps or inconsistent event semantics can produce misleading flow-like trends. KYPipe reduces that risk by using configurable ingestion and normalization steps designed to make flow-oriented views consistent across runs.
Selecting a pipe-focused tool when the requirement is transient CFD behavior
Pipe Flow Expert is primarily oriented toward hydraulic loss and thermal sizing checks for steady-state piping network analysis. OpenFOAM or COMSOL Multiphysics are the appropriate tools when the requirement includes transient simulation, turbulence modeling, or solver convergence monitoring for flow fields.
Underestimating case configuration discipline when throughput depends on repeatability
OpenFOAM delivers reproducible batch runs by enforcing case-driven configuration, so inconsistent boundary setups or solver selections slow iteration across new geometries. CONVERGE CFD also benefits from mesh quality tuning discipline because convergence control can require repeated iteration during new geometry onboarding.
How analysts built the flow analysis shortlist
Analysts gathered information by scanning the published sources that list top tools in this space and copying each figure that appears beside the stated capability claims. Analysts then compared those figures with official product documentation and current changelog notes to confirm that named workflow strengths matched current behavior, and they also used independent coverage when citations were present.
OpenFOAM stood out because its case-driven solver selection and configuration keep physics and numerics reproducible across batches, which matches repeated-run evaluation needs more directly than general-purpose visualization or workflow-only tools. The final shortlist kept tools that cover distinct workflow styles, including reproducible CFD execution, CAD-aligned iteration, interactive flow-pattern analytics, and telemetry-to-flow pipeline transformations.
Frequently Asked Questions About Flow Analysis Software
How do OpenFOAM and CONVERGE CFD differ in solver configuration and reproducibility?
Which tools fit CAD-to-simulation iteration when geometry changes frequently?
Which integration path works best when CFD outputs must feed downstream engineering data pipelines?
How do analysts transform telemetry into flow views in KYPipe and Flowable?
What breaks if boundary conditions and physics assumptions are inconsistent across runs in COMSOL Multiphysics?
Where does Tableau fall short compared with solver-based CFD tools like Autodesk CFD or OpenFOAM?
How does pipe-network analysis differ between Pipe Flow Expert and CFD tools?
How do SSO and RBAC controls typically affect admin governance in KYPipe versus Gephi?
What tradeoff arises when using Gephi’s extensibility for relationship analysis instead of physical flow simulation?
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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