Jérémie Bigot
- Computer Vision and Pattern Recognition top 5%
- Statistics and Probability top 2%
- Applied Mathematics top 5%
- Computational Mechanics top 10%
- Artificial Intelligence top 10%
- Co-authors
- Anestis AntoniadisTheofanis SapatinasThierry KleinClaire BoyerPierre WeissSébastien GadatRaúl GouetAlfredo Quijano-López
- Topics
- Medical Image Segmentation Techniques (9 papers)Morphological variations and asymmetry (9 papers)Point processes and geometric inequalities (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaNeuroImageIEEE Transactions on Information Theory
In The Last Decade
Jérémie Bigot
42 papers receiving 689 citations
Peers
Comparison fields: 5 of 106
- Computer Vision and Pattern Recognition 213
- Statistics and Probability 149
- Applied Mathematics 121
- Computational Mechanics 120
- Artificial Intelligence 95
Countries citing papers authored by Jérémie Bigot
This map shows the geographic impact of Jérémie Bigot'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 Jérémie Bigot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jérémie Bigot more than expected).
Fields of papers citing papers by Jérémie Bigot
This network shows the impact of papers produced by Jérémie Bigot. 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 Jérémie Bigot. The network helps show where Jérémie Bigot may publish in the future.
Co-authorship network of co-authors of Jérémie Bigot
This figure shows the co-authorship network connecting the top 25 collaborators of Jérémie Bigot. A scholar is included among the top collaborators of Jérémie Bigot 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 Jérémie Bigot. Jérémie Bigot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 12 | |
| 5 | 1 | |
| 6 | 17 | |
| 7 | 7 | |
| 8 | 5 | |
| 9 | 17 | |
| 10 | Log-PCA versus Geodesic PCA of histograms in the Wasserstein space | 1 |
| 11 | 41 | |
| 12 | 48 | |
| 13 | Comparative Ionosphere Electron Content Estimation Method in SBAS Performances | 2 |
| 14 | 4 | |
| 15 | Consistent estimation of a population barycenter in the Wasserstein space | 23 |
| 16 | 48 | |
| 17 | 20 | |
| 18 | 5 | |
| 19 | 12 | |
| 20 | 12 |
About Jérémie Bigot
Jérémie Bigot is a scholar working on Applied Mathematics, Geometry and Topology and Computer Vision and Pattern Recognition, having authored 43 papers that have together received 729 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (9 papers), Morphological variations and asymmetry (9 papers) and Point processes and geometric inequalities (8 papers). The work is most often cited by research in Statistics and Probability (149 citations), Applied Mathematics (121 citations) and Computer Vision and Pattern Recognition (213 citations). Jérémie Bigot has collaborated with scholars based in France, Chile and Australia. Frequent co-authors include Anestis Antoniadis, Theofanis Sapatinas, Thierry Klein, Claire Boyer, Pierre Weiss, Sébastien Gadat, Raúl Gouet, Alfredo Quijano-López, Nicolas Papadakis and A.K. David. Their work appears in journals such as SHILAP Revista de lepidopterología, NeuroImage and IEEE Transactions on Information Theory.
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.