Arun Kulkarni

1.1k total citations
58 papers, 731 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 731 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 Australia. 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, Krishna Kumar and Anjana Sarkar 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 661 citations

Peers

Arun Kulkarni

CVPR

ECOLO

Dário Augusto Borges Oliveira Brazil

K. V. Kale India

Shi Chen China

Vladimir Crnojević Serbia

Jayanta Kumar Das India

Xing Jin China

Jinrong He China

Jianhua Wang China

Dário Augusto Borges Oliveira Brazil

Arun Kulkarni

216 ×1.1

CVPR

138 ×0.8

180 ×1.3

152 ×1.4

ECOLO

38 ×0.5

Citations per year, relative to Arun Kulkarni Arun Kulkarni (= 1×) peers Dário Augusto Borges Oliveira

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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20 of 20 papers shown

Chrząstek, Klaudia, Bruce S. Seal, Arun Kulkarni, & Darrell R. Kapczynski. (2025). Whole-Genome Shotgun Sequencing from Chicken Clinical Tracheal Samples for Bacterial and Novel Bacteriophage Identification. Veterinary Sciences. 12(2). 162–162. 1 indexed citations

Goraichuk, Iryna V., Mia Kim Torchetti, Mary Lea Killian, et al.. (2024). Introduction of Avian metapneumovirus subtype A to the United States: molecular insights and implications. Frontiers in Microbiology. 15. 1428248–1428248. 8 indexed citations

Mane, Deepak, Arun Kulkarni, Biswajeet Pradhan, et al.. (2024). A Novel Fuzzy Hypersphere Neural Network Classifier Using Class Specific Clustering for Robust Pattern Classification. IEEE Access. 12. 124209–124219.

Kulkarni, Arun. (2024). Fuzzy Convolution Neural Networks for Tabular Data Classification. IEEE Access. 12. 151846–151855.

Kulkarni, Arun. (2023). Convolution Neural Networks for Phishing Detection. International Journal of Advanced Computer Science and Applications. 14(4). 2 indexed citations

Kulkarni, Arun. (2023). Multispectral Image Analysis using Convolution Neural Networks. International Journal of Advanced Computer Science and Applications. 14(10). 2 indexed citations

Chrząstek, Klaudia, Simona Kraberger, Kara Schmidlin, et al.. (2021). Diverse Single-Stranded DNA Viruses Identified in Chicken Buccal Swabs. Microorganisms. 9(12). 2602–2602. 9 indexed citations

Kulkarni, Arun, et al.. (2016). Random Forest Algorithm for Land Cover Classification. International Journal on Recent and Innovation Trends in Computing and Communication. 4(3). 58–63. 92 indexed citations

Taylor, Chris, et al.. (2016). Knowledge Extraction from Metacognitive Reading Strategies Data Using Induction Trees. International Journal of Advanced Computer Science and Applications. 7(6). 1 indexed citations

10.

Brown, Corrie C., Lauren A. Sullivan, Louise Dufour-Zavala, et al.. (2013). Comparing Presence of Avian Paramyxovirus-1 Through Immunohistochemistry in Tracheas of Experimentally and Naturally Infected Chickens. Avian Diseases. 57(1). 36–40. 4 indexed citations

11.

Davis, James F., Arun Kulkarni, & Oscar J. Fletcher. (2012). Myocarditis in 9- and 11-Day-Old Broiler Breeder Chicks Associated with a Reovirus Infection. Avian Diseases. 56(4). 786–790. 15 indexed citations

12.

Kulkarni, Arun, Bhausaheb V. Tawade, & Prakash P. Wadgaonkar. (2012). Cyanate ester resins containing pentadecyl-substituted cyclohexyl moiety: Synthesis, curing and structure–property relationship. High Performance Polymers. 25(3). 278–286. 11 indexed citations

13.

Kulkarni, Arun, et al.. (2006). Fuzzy neural network models for multispectral image analysis. Scholar Works at UT Tyler (The University of Texas at Tyler). 66–71. 3 indexed citations

14.

Kulkarni, Arun. (2004). <bold>Computer Vision and Fuzzy-Neural Systems </bold>. Journal of Electronic Imaging. 13(1). 251–251. 84 indexed citations

15.

Kulkarni, Arun. (1998). Neural-Fuzzy Models for Multispectral Image Analysis. Applied Intelligence. 8(2). 173–187. 9 indexed citations

16.

Kulkarni, Arun, et al.. (1995). Neural network based fuzzy logic decision systems for multispectral image analysis. Neural, Parallel & Scientific Computations archive. 3(2). 205–218. 5 indexed citations

17.

Kulkarni, Arun, et al.. (1993). Generalized bidirectional associative memories for image processing. 373–379. 2 indexed citations

18.

Kulkarni, Arun, et al.. (1992). <title>Generalized bidirectional associative memories for image processing</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1826. 152–159. 1 indexed citations

19.

Kulkarni, Arun, et al.. (1988). A testbed for sensory PDP models. 467–468. 2 indexed citations

20.

Kulkarni, Arun, et al.. (1984). Interpolation of digital imagery using hypersurface approximation. Signal Processing. 7(1). 65–73. 4 indexed citations

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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