Kavi Mahesh

101 total papers · 710 total citations
43 papers, 383 citations indexed

About

Kavi Mahesh is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Kavi Mahesh has authored 43 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 8 papers in Information Systems and 6 papers in Computer Networks and Communications. Recurrent topics in Kavi Mahesh's work include Semantic Web and Ontologies (11 papers), Natural Language Processing Techniques (6 papers) and Topic Modeling (5 papers). Kavi Mahesh is often cited by papers focused on Semantic Web and Ontologies (11 papers), Natural Language Processing Techniques (6 papers) and Topic Modeling (5 papers). Kavi Mahesh collaborates with scholars based in India, United States and Singapore. Kavi Mahesh's co-authors include Sergei Nirenburg, Stephen Beale, R. Jayashree, Paul R. Dixon, A. P. Vinod, K. G. Smitha, Rémi Zajac, Ashok K. Goel, Rinshu Dwivedi and Stephen Helmreich and has published in prestigious journals such as Journal of Knowledge Management, International Journal of Human-Computer Studies and Journal of Information Science.

In The Last Decade

Kavi Mahesh

39 papers receiving 291 citations

Author Peers

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

Author Last Decade Papers Cites
Kavi Mahesh 230 64 55 46 38 43 383
Craig Martell 237 1.0× 42 0.7× 99 1.8× 21 0.5× 26 0.7× 29 408
Ivan Tomek 106 0.5× 30 0.5× 65 1.2× 67 1.5× 40 1.1× 51 375
Graham Wilcock 293 1.3× 30 0.5× 31 0.6× 45 1.0× 12 0.3× 51 385
Abdolhossein Sarrafzadeh 144 0.6× 52 0.8× 69 1.3× 103 2.2× 79 2.1× 48 407
Kory W. Mathewson 188 0.8× 39 0.6× 36 0.7× 56 1.2× 7 0.2× 22 411
Antonio González-Pardo 121 0.5× 47 0.7× 95 1.7× 47 1.0× 46 1.2× 33 443
M. J. Coombs 196 0.9× 55 0.9× 64 1.2× 14 0.3× 25 0.7× 23 377
Susumu Kunifuji 125 0.5× 59 0.9× 60 1.1× 79 1.7× 53 1.4× 71 408
Bernd Kiefer 319 1.4× 13 0.2× 28 0.5× 13 0.3× 16 0.4× 34 386
Norman K. Sondheimer 320 1.4× 30 0.5× 39 0.7× 22 0.5× 38 1.0× 40 444

Countries citing papers authored by Kavi Mahesh

Since Specialization
Citations

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

Fields of papers citing papers by Kavi Mahesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kavi Mahesh

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