Paramveer S. Dhillon

81 total papers · 1.5k total citations
46 papers, 813 citations indexed

About

Paramveer S. Dhillon is a scholar working on Artificial Intelligence, Sociology and Political Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Paramveer S. Dhillon has authored 46 papers receiving a total of 813 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 7 papers in Sociology and Political Science and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Paramveer S. Dhillon's work include Topic Modeling (7 papers), Text and Document Classification Technologies (6 papers) and Natural Language Processing Techniques (6 papers). Paramveer S. Dhillon is often cited by papers focused on Topic Modeling (7 papers), Text and Document Classification Technologies (6 papers) and Natural Language Processing Techniques (6 papers). Paramveer S. Dhillon collaborates with scholars based in United States, Israel and Germany. Paramveer S. Dhillon's co-authors include Lyle Ungar, Dean P. Foster, Sinan Aral, Yichao Lu, Christos Nicolaides, Dean Eckles, Sebastian Nowozin, Christoph H. Lampert, Avinash Collis and Yunhao Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and NeuroImage.

In The Last Decade

Paramveer S. Dhillon

44 papers receiving 775 citations

Author Peers

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

Author Last Decade Papers Cites
Paramveer S. Dhillon 364 163 124 97 76 46 813
Joel Weijia Lai 194 0.5× 100 0.6× 100 0.8× 141 1.5× 39 0.5× 37 831
Peng Wang 274 0.8× 252 1.5× 52 0.4× 344 3.5× 8 0.1× 55 952
Alex Lamb 464 1.3× 269 1.7× 88 0.7× 36 0.4× 25 0.3× 21 736
Bruno Ribeiro 283 0.8× 295 1.8× 135 1.1× 360 3.7× 15 0.2× 75 1.0k
Ruocheng Guo 476 1.3× 73 0.4× 78 0.6× 92 0.9× 7 0.1× 52 769
Pei Li 335 0.9× 119 0.7× 85 0.7× 164 1.7× 9 0.1× 64 810
Karsten Donnay 218 0.6× 32 0.2× 428 3.5× 181 1.9× 75 1.0× 34 985
Zhesi Shen 150 0.4× 18 0.1× 106 0.9× 552 5.7× 30 0.4× 40 974
Hasan Rashaideh 176 0.5× 34 0.2× 35 0.3× 30 0.3× 76 1.0× 15 731
Liming Pan 315 0.9× 27 0.2× 144 1.2× 654 6.7× 56 0.7× 37 985

Countries citing papers authored by Paramveer S. Dhillon

Since Specialization
Citations

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

Fields of papers citing papers by Paramveer S. Dhillon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paramveer S. Dhillon. 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 Paramveer S. Dhillon. The network helps show where Paramveer S. Dhillon may publish in the future.

Co-authorship network of co-authors of Paramveer S. Dhillon

This figure shows the co-authorship network connecting the top 25 collaborators of Paramveer S. Dhillon. A scholar is included among the top collaborators of Paramveer S. Dhillon 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 Paramveer S. Dhillon. Paramveer S. Dhillon 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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2026