Vivek Kulkarni

91 total papers · 2.1k total citations
34 papers, 971 citations indexed

About

Vivek Kulkarni is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vivek Kulkarni has authored 34 papers receiving a total of 971 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 7 papers in Computer Networks and Communications and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Vivek Kulkarni's work include Topic Modeling (7 papers), IoT and Edge/Fog Computing (6 papers) and Authorship Attribution and Profiling (4 papers). Vivek Kulkarni is often cited by papers focused on Topic Modeling (7 papers), IoT and Edge/Fog Computing (6 papers) and Authorship Attribution and Profiling (4 papers). Vivek Kulkarni collaborates with scholars based in United States, Germany and Greece. Vivek Kulkarni's co-authors include Steven Skiena, Bryan Perozzi, Rami Al‐Rfou, William Yang Wang, Mai ElSherief, Elizabeth Belding, Haochen Chen, Arnout van de Rijt, Eran Shor and Ashwani Kumar and has published in prestigious journals such as PLoS ONE, American Sociological Review and eLife.

In The Last Decade

Vivek Kulkarni

31 papers receiving 909 citations

Hit Papers

Statistically Significant... 2015 2026 2018 2022 2015 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Vivek Kulkarni 572 162 142 111 98 34 971
Martin Riedl 573 1.0× 275 1.7× 290 2.0× 35 0.3× 75 0.8× 83 1.1k
Nick Montfort 202 0.4× 479 3.0× 95 0.7× 100 0.9× 63 0.6× 38 995
Gerhard Heyer 437 0.8× 273 1.7× 211 1.5× 31 0.3× 105 1.1× 58 989
Massimo Stella 394 0.7× 346 2.1× 118 0.8× 262 2.4× 121 1.2× 64 1.1k
Alastair J. Gill 474 0.8× 269 1.7× 127 0.9× 55 0.5× 122 1.2× 40 1.2k
Bryan Perozzi 675 1.2× 51 0.3× 30 0.2× 346 3.1× 115 1.2× 25 849
András Kornai 613 1.1× 79 0.5× 151 1.1× 47 0.4× 81 0.8× 75 1.0k
Petko Bogdanov 266 0.5× 161 1.0× 92 0.6× 186 1.7× 70 0.7× 50 1.1k
Per Hage 129 0.2× 174 1.1× 30 0.2× 278 2.5× 41 0.4× 53 957
Stefan Evert 936 1.6× 65 0.4× 37 0.3× 25 0.2× 99 1.0× 73 1.2k

Countries citing papers authored by Vivek Kulkarni

Since Specialization
Citations

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

Fields of papers citing papers by Vivek Kulkarni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vivek Kulkarni

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