Vincent Perot

982 total citations · 1 hit paper
3 papers, 335 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 335 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 Xiaoqi Ren, Tomas Pfister, Chen‐Yu Lee, Ruoxi Sun, Han Zhang, Zizhao Zhang, Jennifer Dy, Zifeng Wang, Chunliang Li and Zizhao Zhang 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 327 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Learning to Prompt for Continual Learning

2022 329 citations Zifeng Wang, Zizhao Zhang et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →

Peers

Vincent Perot

AI

CVPR

RNMI

MT

SP

Ruoxi Sun China

Jihwan Bang South Korea

Xinyuan Chang China

Muhammad Uzair Khattak United Arab Emirates

Qiushan Guo China

Jihwan Jeong South Korea

Şerafettin Taşcı Türkiye

Nan Song China

Jingcai Guo Hong Kong

Ruoxi Sun China

Vincent Perot

271 ×1.0

AI

198 ×1.1

CVPR

31 ×1.0

RNMI

16 ×1.0

MT

12 ×0.9

SP

Citations per year, relative to Vincent Perot Vincent Perot (= 1×) peers Ruoxi Sun

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

Sort: Min cites: Since: Top N: Style:

3 of 3 papers shown

1.

Wang, Zifeng, Chunliang Li, Vincent Perot, et al.. (2024). CodecLM: Aligning Language Models with Tailored Synthetic Data. 3712–3729. 4 indexed citations

2.

Wang, Zifeng, Zizhao Zhang, Chen‐Yu Lee, et al.. (2022). Learning to Prompt for Continual Learning. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 139–149. 329 indexed citations breakdown →

3.

Baldridge, Jason, et al.. (2019). Text Classification with Few Examples using Controlled Generalization. arXiv (Cornell University). 3158–3167. 2 indexed citations

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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