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
| Method | Description | Reliability |
|---|---|---|
| OpenAlex Topics | Automatic AI classification of 65,000+ subjects | ⭐⭐⭐⭐⭐ |
| Author keywords | The keywords you have chosen | ⭐⭐⭐⭐ |
| HAL domains | French disciplinary classification | ⭐⭐⭐⭐ |
| Text analysis | Automatic extraction of key concepts | ⭐⭐⭐ |
Your Expertise Map
Overview
Your profile displays a thematic map showing your domains:
Machine Learning
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╱ ╲
NLP ╱ ╲ Computer Vision
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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:
| Information | Example |
|---|---|
| Domain name | Machine Learning |
| Publications | 15 articles |
| Active period | 2018 - present |
| Subdomains | Deep Learning, Neural Networks, Optimization |
| Frequent collaborators | Dr. Martin, Prof. Dubois |
| Main journals | JMLR, NeurIPS, ICML |
Expertise Levels
The system evaluates your level in each domain:
| Level | Criteria | Meaning |
|---|---|---|
| Recognized expert | 10+ publications, high citations, > 5 years | Reference in the field |
| Specialist | 5-10 publications, regular activity | Established expertise |
| Contributor | 2-5 publications | Significant contributions |
| Explorer | 1-2 publications | Emerging 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:
- Click on Add a domain
- Search for the domain (by keyword or classification)
- Associate it with your relevant publications
Remove an Erroneous Domain
If a domain doesn't correspond to your expertise:
- Click on Report as erroneous
- 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:
| Element | Default visibility | Modifiable |
|---|---|---|
| Main domains | Public | ✓ |
| Expertise level | Public | ✓ |
| Associated publications | Public | ✓ |
| Temporal evolution | Verified researchers | ✓ |
| Collaborators | Verified researchers | ✓ |
See Also
- Verify your publications - The basis of your profile
- Manage your career - Institutional context
- Collaboration network - Your co-authors
Technical documentation: Researcher profile - For developers