Vincent Perot

9 total papers · 957 total citations
3 papers, 323 citations indexed

About

Vincent Perot is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Infectious Diseases. According to data from OpenAlex, Vincent Perot has authored 3 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 0 papers in Infectious Diseases. Recurrent topics in Vincent Perot's work include Natural Language Processing Techniques (2 papers), Topic Modeling (2 papers) and Text and Document Classification Technologies (1 paper). Vincent Perot is often cited by papers focused on Natural Language Processing Techniques (2 papers), Topic Modeling (2 papers) and Text and Document Classification Technologies (1 paper). Vincent Perot collaborates with scholars based in United States and Mexico. Vincent Perot's co-authors include Chen‐Yu Lee, Tomas Pfister, Han Zhang, Xiaoqi Ren, Zizhao Zhang, Zifeng Wang, Ruoxi Sun, Jennifer Dy, Zifeng Wang and Chunliang Li and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).

In The Last Decade

Vincent Perot

3 papers receiving 315 citations

Hit Papers

Learning to Prompt for Co... 2022 2026 2023 2024 2022 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Vincent Perot 251 182 30 16 12 3 323
Ruoxi Sun 262 1.0× 193 1.1× 30 1.0× 16 1.0× 12 1.0× 8 348
Jihwan Bang 181 0.7× 138 0.8× 25 0.8× 13 0.8× 12 1.0× 5 242
Petru Soviany 153 0.6× 162 0.9× 21 0.7× 17 1.1× 8 0.7× 3 361
Jihwan Jeong 273 1.1× 160 0.9× 34 1.1× 12 0.8× 22 1.8× 8 347
Qiushan Guo 147 0.6× 178 1.0× 14 0.5× 14 0.9× 12 1.0× 9 277
Şerafettin Taşcı 275 1.1× 188 1.0× 30 1.0× 18 1.1× 16 1.3× 7 341
А.В. Куракин 275 1.1× 149 0.8× 22 0.7× 9 0.6× 21 1.8× 8 352
Aron Yu 113 0.5× 212 1.2× 20 0.7× 19 1.2× 12 1.0× 4 264
Langming Liu 151 0.6× 142 0.8× 18 0.6× 17 1.1× 18 1.5× 6 365
Nanyi Fei 153 0.6× 138 0.8× 31 1.0× 6 0.4× 11 0.9× 9 295

Countries citing papers authored by Vincent Perot

Since Specialization
Citations

This map shows the geographic impact of Vincent Perot'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 Vincent Perot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vincent Perot more than expected).

Fields of papers citing papers by Vincent Perot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vincent Perot. 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 Vincent Perot. The network helps show where Vincent Perot may publish in the future.

Co-authorship network of co-authors of Vincent Perot

This figure shows the co-authorship network connecting the top 25 collaborators of Vincent Perot. A scholar is included among the top collaborators of Vincent Perot 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 Vincent Perot. Vincent Perot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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