Panupong Pasupat

61 total papers · 2.9k total citations
21 papers, 598 citations indexed

About

Panupong Pasupat is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Panupong Pasupat has authored 21 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Panupong Pasupat's work include Topic Modeling (17 papers), Natural Language Processing Techniques (17 papers) and Speech and dialogue systems (6 papers). Panupong Pasupat is often cited by papers focused on Topic Modeling (17 papers), Natural Language Processing Techniques (17 papers) and Speech and dialogue systems (6 papers). Panupong Pasupat collaborates with scholars based in United States, United Kingdom and France. Panupong Pasupat's co-authors include Kelvin Guu, Percy Liang, Scott Cyphers, Jun Liu, Ming‐Wei Chang, Kenton Lee, Jim Glass, Yuan Zhang, James Glass and Dian Yu and has published in prestigious journals such as Theory and applications of categories, Data Intelligence and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Panupong Pasupat

21 papers receiving 534 citations

Author Peers

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

Author Last Decade Papers Cites
Panupong Pasupat 541 142 79 26 25 21 598
Cícero Nogueira dos Santos 552 1.0× 124 0.9× 58 0.7× 39 1.5× 25 1.0× 38 606
Luyu Gao 404 0.7× 159 1.1× 105 1.3× 38 1.5× 25 1.0× 14 555
Leyang Cui 574 1.1× 107 0.8× 55 0.7× 30 1.2× 29 1.2× 37 633
Jungo Kasai 411 0.8× 136 1.0× 53 0.7× 26 1.0× 17 0.7× 39 526
Zheng Zhang 493 0.9× 114 0.8× 68 0.9× 30 1.2× 59 2.4× 27 574
Yutai Hou 454 0.8× 106 0.7× 67 0.8× 31 1.2× 18 0.7× 16 554
Pradeep Dasigi 525 1.0× 166 1.2× 62 0.8× 13 0.5× 11 0.4× 23 555
Jingzhou Liu 541 1.0× 146 1.0× 96 1.2× 43 1.7× 12 0.5× 10 626
Zhiruo Wang 585 1.1× 177 1.2× 72 0.9× 39 1.5× 44 1.8× 11 656
Vishrav Chaudhary 564 1.0× 163 1.1× 44 0.6× 20 0.8× 12 0.5× 28 594

Countries citing papers authored by Panupong Pasupat

Since Specialization
Citations

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

Fields of papers citing papers by Panupong Pasupat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Panupong Pasupat

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