Anne Gégout‐Petit
- Statistics and Probability top 2%
- Global and Planetary Change
- Pulmonary and Respiratory Medicine
- Nature and Landscape Conservation top 10%
- Atmospheric Science
- Co-authors
- Daniel CommengesBenoîte de SaportaH. GuénardB. AguilaniuIngrid SeynaveChristian PiedalluJean‐Claude GégoutPierre Joly
- Topics
- Statistical Methods and Inference (13 papers)Bayesian Methods and Mixture Models (6 papers)Statistical Methods and Bayesian Inference (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
In The Last Decade
Anne Gégout‐Petit
25 papers receiving 417 citations
Peers
Comparison fields: 5 of 102
- Statistics and Probability 140
- Global and Planetary Change 78
- Pulmonary and Respiratory Medicine 73
- Nature and Landscape Conservation 67
- Atmospheric Science 36
Countries citing papers authored by Anne Gégout‐Petit
This map shows the geographic impact of Anne Gégout‐Petit'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 Anne Gégout‐Petit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne Gégout‐Petit more than expected).
Fields of papers citing papers by Anne Gégout‐Petit
This network shows the impact of papers produced by Anne Gégout‐Petit. 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 Anne Gégout‐Petit. The network helps show where Anne Gégout‐Petit may publish in the future.
Co-authorship network of co-authors of Anne Gégout‐Petit
This figure shows the co-authorship network connecting the top 25 collaborators of Anne Gégout‐Petit. A scholar is included among the top collaborators of Anne Gégout‐Petit 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 Anne Gégout‐Petit. Anne Gégout‐Petit is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 26 | |
| 4 | 23 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 12 | |
| 9 | 52 | |
| 10 | 12 | |
| 11 | 2 | |
| 12 | 7 | |
| 13 | 10 | |
| 14 | 1 | |
| 15 | 8 | |
| 16 | 15 | |
| 17 | 10 | |
| 18 | 28 | |
| 19 | 82 | |
| 20 | 52 |
About Anne Gégout‐Petit
Anne Gégout‐Petit is a scholar working on Statistics and Probability, Medical Laboratory Technology and Aging, having authored 28 papers that have together received 422 indexed citations. Recurring topics across this work include Statistical Methods and Inference (13 papers), Bayesian Methods and Mixture Models (6 papers) and Statistical Methods and Bayesian Inference (4 papers). The work is most often cited by research in Statistics and Probability (140 citations), Aging (11 citations) and Nature and Landscape Conservation (67 citations). Anne Gégout‐Petit has collaborated with scholars based in France, Belize and Japan. Frequent co-authors include Daniel Commenges, Benoîte de Saporta, H. Guénard, B. Aguilaniu, Ingrid Seynave, Christian Piedallu, Jean‐Claude Gégout, Pierre Joly, Benoît Liquet and Louis-Michel Nageleisen. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.