Caroline Lacoste
- Molecular Biology
- Genetics top 10%
- Health, Toxicology and Mutagenesis top 10%
- Computer Vision and Pattern Recognition top 10%
- Ocean Engineering top 10%
- Co-authors
- Xavier DescombesJosiane ZerubiaCatherine BadensJean‐Pierre CravediCharles SultanBéatrice TérouannePatrick BalaguerJean‐Claude Nicolas
- Topics
- Automated Road and Building Extraction (9 papers)Remote Sensing and LiDAR Applications (7 papers)Data Management and Algorithms (3 papers)
- Journals
- BloodIEEE Transactions on Pattern Analysis and Machine IntelligenceThe American Journal of Human Genetics
- Partner nations
- FranceUnited StatesBelgium
In The Last Decade
Caroline Lacoste
38 papers receiving 789 citations
Peers
Comparison fields: 5 of 121
- Molecular Biology 234
- Genetics 181
- Health, Toxicology and Mutagenesis 130
- Computer Vision and Pattern Recognition 100
- Ocean Engineering 80
Countries citing papers authored by Caroline Lacoste
This map shows the geographic impact of Caroline Lacoste'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 Caroline Lacoste with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caroline Lacoste more than expected).
Fields of papers citing papers by Caroline Lacoste
This network shows the impact of papers produced by Caroline Lacoste. 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 Caroline Lacoste. The network helps show where Caroline Lacoste may publish in the future.
Co-authorship network of co-authors of Caroline Lacoste
This figure shows the co-authorship network connecting the top 25 collaborators of Caroline Lacoste. A scholar is included among the top collaborators of Caroline Lacoste 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 Caroline Lacoste. Caroline Lacoste 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 | 5 | |
| 3 | 18 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 35 | |
| 8 | 38 | |
| 9 | 9 | |
| 10 | 2 | |
| 11 | 10 | |
| 12 | 7 | |
| 13 | 1 | |
| 14 | 106 | |
| 15 | 6 | |
| 16 | 25 | |
| 17 | 3 | |
| 18 | 37 | |
| 19 | 95 | |
| 20 | 171 |
About Caroline Lacoste
Caroline Lacoste is a scholar working on Aging, Ocean Engineering and Environmental Engineering, having authored 41 papers that have together received 818 indexed citations. Recurring topics across this work include Automated Road and Building Extraction (9 papers), Remote Sensing and LiDAR Applications (7 papers) and Data Management and Algorithms (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (130 citations), Gastroenterology (37 citations) and Genetics (181 citations). Caroline Lacoste has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Xavier Descombes, Josiane Zerubia, Catherine Badens, Jean‐Pierre Cravedi, Charles Sultan, Béatrice Térouanne, Patrick Balaguer, Jean‐Claude Nicolas, Nadège Servant and Françoise Paris. Their work appears in journals such as Blood, IEEE Transactions on Pattern Analysis and Machine Intelligence and The American Journal of Human Genetics.
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.