Tomas Pfister

179 total papers · 8.2k total citations
52 papers, 2.9k citations indexed

About

Tomas Pfister is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Human-Computer Interaction. According to data from OpenAlex, Tomas Pfister has authored 52 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 19 papers in Computer Vision and Pattern Recognition and 6 papers in Human-Computer Interaction. Recurrent topics in Tomas Pfister's work include Topic Modeling (12 papers), Natural Language Processing Techniques (9 papers) and Human Pose and Action Recognition (8 papers). Tomas Pfister is often cited by papers focused on Topic Modeling (12 papers), Natural Language Processing Techniques (9 papers) and Human Pose and Action Recognition (8 papers). Tomas Pfister collaborates with scholars based in United States, United Kingdom and Finland. Tomas Pfister's co-authors include Guoying Zhao, Xiaobai Li, Chunliang Li, Matti Pietikäinen, Andrew Zisserman, James Charles, Kihyuk Sohn, Jinsung Yoon, Xiaohua Huang and Zizhao Zhang and has published in prestigious journals such as Journal of Dental Research, International Journal of Computer Vision and npj Digital Medicine.

In The Last Decade

Tomas Pfister

50 papers receiving 2.8k citations

Hit Papers

CutPaste: Self-Supervised... 2013 2026 2017 2021 2021 2013 2022 2015 2018 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Tomas Pfister 1.7k 1.3k 728 394 226 52 2.9k
Xiaojiang Peng 2.3k 1.4× 865 0.7× 1.1k 1.6× 281 0.7× 211 0.9× 83 2.9k
Xiaopeng Hong 3.2k 1.9× 1.7k 1.4× 812 1.1× 417 1.1× 489 2.2× 143 4.7k
Hongying Meng 2.3k 1.4× 1.1k 0.8× 902 1.2× 225 0.6× 273 1.2× 141 4.2k
Muhammad Sajjad 2.8k 1.7× 1.5k 1.2× 412 0.6× 180 0.5× 474 2.1× 115 4.9k
John See 1.7k 1.0× 604 0.5× 992 1.4× 320 0.8× 261 1.2× 117 2.4k
Hyung-Jeong Yang 1.1k 0.6× 830 0.7× 515 0.7× 210 0.5× 238 1.1× 188 2.7k
Jianfei Yang 2.2k 1.3× 794 0.6× 914 1.3× 217 0.6× 655 2.9× 146 4.5k
Xiaoyi Feng 1.8k 1.0× 497 0.4× 574 0.8× 144 0.4× 853 3.8× 159 2.7k
Di Huang 3.3k 1.9× 1.0k 0.8× 720 1.0× 215 0.5× 722 3.2× 207 4.8k
Md. Zia Uddin 1.9k 1.1× 866 0.7× 422 0.6× 260 0.7× 209 0.9× 134 3.6k

Countries citing papers authored by Tomas Pfister

Since Specialization
Citations

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

Fields of papers citing papers by Tomas Pfister

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomas Pfister

This figure shows the co-authorship network connecting the top 25 collaborators of Tomas Pfister. A scholar is included among the top collaborators of Tomas Pfister 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 Tomas Pfister. Tomas Pfister 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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