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Your Expertise Profile

This guide explains how Atlas Verify analyzes your publications to identify your areas of expertise.

How Does the Analysis Work?

Atlas Verify analyzes all of your confirmed publications to identify:

  • Your research areas: The topics on which you publish
  • Your expertise level: Based on volume, impact, and regularity
  • Temporal evolution: How your interests have evolved

Analysis Sources

MethodDescriptionReliability
OpenAlex TopicsAutomatic AI classification of 65,000+ subjects⭐⭐⭐⭐⭐
Author keywordsThe keywords you have chosen⭐⭐⭐⭐
HAL domainsFrench disciplinary classification⭐⭐⭐⭐
Text analysisAutomatic extraction of key concepts⭐⭐⭐

Your Expertise Map

Overview

Your profile displays a thematic map showing your domains:

                    Machine Learning
                         ████████
                        ╱        ╲
        NLP            ╱          ╲         Computer Vision
       █████ ─────────●────────────────────── ███


               Deep Learning
                  ██████
  • Bubble size: Number of publications
  • Proximity: Domains often associated in your work
  • Color: Period (more recent = darker)

Domain Details

By clicking on a domain, you see:

InformationExample
Domain nameMachine Learning
Publications15 articles
Active period2018 - present
SubdomainsDeep Learning, Neural Networks, Optimization
Frequent collaboratorsDr. Martin, Prof. Dubois
Main journalsJMLR, NeurIPS, ICML

Expertise Levels

The system evaluates your level in each domain:

LevelCriteriaMeaning
Recognized expert10+ publications, high citations, > 5 yearsReference in the field
Specialist5-10 publications, regular activityEstablished expertise
Contributor2-5 publicationsSignificant contributions
Explorer1-2 publicationsEmerging or occasional interest

These levels are indicative and based solely on bibliographic data. They do not replace peer evaluation.

Temporal Evolution

Expertise Timeline

Visualize how your interests have evolved:

2010    2012    2014    2016    2018    2020    2022    2024

Statistics      ████████████░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
Machine Learning          ░░░░████████████████████████████
NLP                             ░░░░░░░░████████████░░░░░░
Deep Learning                         ░░░░░░████████████████

Transition Detection

The system identifies key moments in your career:

  • 2016: Transition to Machine Learning
  • 2019: Specialization in Deep Learning
  • 2021: New orientation toward NLP

These transitions may correspond to:

  • A change of laboratory
  • A new collaboration
  • A specific research project

Validate Your Profile

Confirm a Domain

If an identified domain is correct, confirm it. This improves the system's accuracy.

Adjust Importance

You can indicate whether a domain is:

  • Central: This is your core expertise
  • Secondary: You contribute to it regularly
  • Occasional: Occasional contribution
  • Historical: You no longer work in this area

Add a Missing Domain

If an important domain doesn't appear:

  1. Click on Add a domain
  2. Search for the domain (by keyword or classification)
  3. Associate it with your relevant publications

Remove an Erroneous Domain

If a domain doesn't correspond to your expertise:

  1. Click on Report as erroneous
  2. The domain will be removed from your public profile

Profile Uses

Finding Collaborators

Your expertise profile allows other researchers to find you for collaborations on common themes.

Project Evaluation

Funding agencies can identify relevant experts to evaluate research projects.

Recommendations

The system can recommend:

  • Relevant articles for your research
  • Conferences in your domains
  • Calls for projects matching your expertise

Privacy

You control what is visible:

ElementDefault visibilityModifiable
Main domainsPublic
Expertise levelPublic
Associated publicationsPublic
Temporal evolutionVerified researchers
CollaboratorsVerified researchers

See Also

Technical documentation: Researcher profile - For developers