Varun Ganapathi

20 total papers · 1.9k total citations
9 papers, 580 citations indexed

About

Varun Ganapathi is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Varun Ganapathi has authored 9 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Control and Systems Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Varun Ganapathi's work include Human Pose and Action Recognition (2 papers), Recommender Systems and Techniques (1 paper) and Gaussian Processes and Bayesian Inference (1 paper). Varun Ganapathi is often cited by papers focused on Human Pose and Action Recognition (2 papers), Recommender Systems and Techniques (1 paper) and Gaussian Processes and Bayesian Inference (1 paper). Varun Ganapathi collaborates with scholars based in United States, India and France. Varun Ganapathi's co-authors include Daphne Koller, Christian Plagemann, Sebastian Thrun, Andrew Y. Ng, Pieter Abbeel, Oussama Khatib, Byung‐Hak Kim, John C. Duchi, David Vickrey and Héctor García-Molina and has published in prestigious journals such as International Journal of Recent Technology and Engineering (IJRTE), arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Varun Ganapathi

8 papers receiving 543 citations

Author Peers

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

Author						Papers	Cites
Varun Ganapathi	416	160	144	95	85	9	580
Ying Liu	239 0.6×	143 0.9×	52 0.4×	77 0.8×	67 0.8×	20	522
Bart Nabbe	547 1.3×	83 0.5×	96 0.7×	75 0.8×	94 1.1×	14	683
Giulio Marin	348 0.8×	143 0.9×	434 3.0×	140 1.5×	41 0.5×	11	643
Lin Gui	457 1.1×	78 0.5×	90 0.6×	72 0.8×	29 0.3×	4	522
Yen-Chen Lin	435 1.0×	96 0.6×	99 0.7×	37 0.4×	139 1.6×	9	543
Lulu Chen	433 1.0×	37 0.2×	91 0.6×	92 1.0×	78 0.9×	23	559
Fabio Dominio	384 0.9×	160 1.0×	509 3.5×	151 1.6×	30 0.4×	9	694
Grégory Rogez	549 1.3×	172 1.1×	189 1.3×	134 1.4×	22 0.3×	28	691
Alexey Abramov	355 0.9×	146 0.9×	41 0.3×	16 0.2×	186 2.2×	11	678
Tomáš Hodaň	385 0.9×	290 1.8×	54 0.4×	66 0.7×	274 3.2×	10	535

Countries citing papers authored by Varun Ganapathi

Since Specialization

Citations

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

Fields of papers citing papers by Varun Ganapathi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Varun Ganapathi

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