Arun Kulkarni

89 total papers · 1.1k total citations
58 papers, 730 citations indexed

About

Arun Kulkarni is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Arun Kulkarni has authored 58 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 19 papers in Computer Vision and Pattern Recognition and 11 papers in Media Technology. Recurrent topics in Arun Kulkarni's work include Neural Networks and Applications (21 papers), Fuzzy Logic and Control Systems (11 papers) and Remote-Sensing Image Classification (10 papers). Arun Kulkarni is often cited by papers focused on Neural Networks and Applications (21 papers), Fuzzy Logic and Control Systems (11 papers) and Remote-Sensing Image Classification (10 papers). Arun Kulkarni collaborates with scholars based in United States, India and South Africa. Arun Kulkarni's co-authors include Leonard Leonard, Oscar J. Fletcher, James F. Davis, Prakash P. Wadgaonkar, Kamlesh Lulla, Bhausaheb V. Tawade, Imran Khan, B. L. Deekshatulu, Louise Dufour-Zavala and Krishna Kumar and has published in prestigious journals such as IEEE Access, Frontiers in Microbiology and Journal of the ACM.

In The Last Decade

Arun Kulkarni

54 papers receiving 658 citations

Author Peers

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

Author Last Decade Papers Cites
Arun Kulkarni 192 175 138 107 75 58 730
Dário Augusto Borges Oliveira 213 1.1× 136 0.8× 180 1.3× 151 1.4× 38 0.5× 57 807
K. V. Kale 119 0.6× 110 0.6× 126 0.9× 126 1.2× 51 0.7× 96 836
Yi Wang 152 0.8× 153 0.9× 201 1.5× 93 0.9× 22 0.3× 69 834
R. Cossu 83 0.4× 105 0.6× 283 2.1× 158 1.5× 114 1.5× 30 720
Xiaodong Zhang 90 0.5× 148 0.8× 71 0.5× 55 0.5× 63 0.8× 57 813
In Seop Na 347 1.8× 83 0.5× 52 0.4× 68 0.6× 43 0.6× 83 665
Dalcimar Casanova 370 1.9× 163 0.9× 102 0.7× 58 0.5× 45 0.6× 51 900
Jianhua Wang 79 0.4× 249 1.4× 60 0.4× 34 0.3× 63 0.8× 94 690
Wenzhu Yang 240 1.3× 93 0.5× 62 0.4× 86 0.8× 17 0.2× 47 694
Chongchong Yu 143 0.7× 154 0.9× 32 0.2× 39 0.4× 29 0.4× 95 773

Countries citing papers authored by Arun Kulkarni

Since Specialization
Citations

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

Fields of papers citing papers by Arun Kulkarni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arun Kulkarni

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