Andrew Tao

60 total papers · 8.6k total citations
11 papers, 2.8k citations indexed

About

Andrew Tao is a scholar working on Computer Vision and Pattern Recognition, Strategy and Management and Signal Processing. According to data from OpenAlex, Andrew Tao has authored 11 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 1 paper in Strategy and Management and 1 paper in Signal Processing. Recurrent topics in Andrew Tao's work include Generative Adversarial Networks and Image Synthesis (5 papers), Digital Media Forensic Detection (2 papers) and Multimodal Machine Learning Applications (2 papers). Andrew Tao is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (5 papers), Digital Media Forensic Detection (2 papers) and Multimodal Machine Learning Applications (2 papers). Andrew Tao collaborates with scholars based in United States, Türkiye and United Kingdom. Andrew Tao's co-authors include Bryan Catanzaro, Ming-Yu Liu, Ting-Chun Wang, Jan Kautz, Jun-Yan Zhu, Kevin J. Shih, Karan Sapra, Fitsum A. Reda, Shawn Newsam and Yi Zhu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and arXiv (Cornell University).

In The Last Decade

Andrew Tao

9 papers receiving 2.7k citations

Hit Papers

High-Resolution Image Syn... 2018 2026 2020 2023 2018 500 1000 1.5k 2.0k

Author Peers

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

Author Last Decade Papers Cites
Andrew Tao 2.3k 431 312 239 201 11 2.8k
Leon A. Gatys 3.1k 1.4× 668 1.5× 626 2.0× 285 1.2× 210 1.0× 15 4.0k
Stefan Popov 1.4k 0.6× 641 1.5× 358 1.1× 103 0.4× 192 1.0× 15 1.9k
Martin Heusel 1.7k 0.8× 583 1.4× 203 0.7× 137 0.6× 129 0.6× 6 2.5k
Bernhard Nessler 1.7k 0.7× 734 1.7× 203 0.7× 135 0.6× 127 0.6× 14 2.8k
Xin Lu 2.4k 1.1× 257 0.6× 293 0.9× 354 1.5× 118 0.6× 32 2.9k
Theodosios Pavlidis 2.1k 0.9× 488 1.1× 247 0.8× 253 1.1× 303 1.5× 46 3.2k
Neil Alldrin 1.5k 0.6× 807 1.9× 266 0.9× 102 0.4× 116 0.6× 11 2.0k
Douglas E. Zongker 999 0.4× 757 1.8× 217 0.7× 206 0.9× 108 0.5× 9 2.1k
Han Zhang 2.1k 0.9× 666 1.5× 211 0.7× 278 1.2× 94 0.5× 50 2.7k
Sean Bell 1.7k 0.7× 398 0.9× 165 0.5× 206 0.9× 128 0.6× 7 2.0k

Countries citing papers authored by Andrew Tao

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Tao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Tao

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