Thibault Févry
About
In The Last Decade
Thibault Févry
3 papers receiving 63 citations
Peers
Comparison fields: 5 of 25
- Artificial Intelligence 58
- Computer Vision and Pattern Recognition 15
- Information Systems 8
- Signal Processing 7
- Control and Systems Engineering 4
Countries citing papers authored by Thibault Févry
This map shows the geographic impact of Thibault Févry's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Thibault Févry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thibault Févry more than expected).
Fields of papers citing papers by Thibault Févry
This network shows the impact of papers produced by Thibault Févry. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Thibault Févry. The network helps show where Thibault Févry may publish in the future.
Co-authorship network of co-authors of Thibault Févry
This figure shows the co-authorship network connecting the top 25 collaborators of Thibault Févry. A scholar is included among the top collaborators of Thibault Févry based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thibault Févry. Thibault Févry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 37 | |
| 2 | Empirical Evaluation of Pretraining Strategies for Supervised Entity Linking | 6 |
| 3 | 29 |
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.