The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Prabir Bhattacharya sits on this spectrum.
This scientist: 236 publications — 58th percentile
58% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Prabir Bhattacharya sits on this spectrum.
This scientist: 34 D-Index — 16th percentile
16% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Prabir Bhattacharya is affiliated with Concordia University in Canada, contributing to research primarily within the fields of Computer Science and Biochemistry, Genetics, and Molecular Biology. Their work spans multiple subfields, with significant focus on Artificial Intelligence, Computer Networks and Communications, Molecular Biology, Management Information Systems, and Discrete Mathematics and Combinatorics.
The main topics explored in Bhattacharya's research include gene expression and cancer classification, algorithms and data compression, evolutionary algorithms and applications, peer-to-peer network technologies, caching and content delivery, as well as coding theory and cryptography.
Bhattacharya has published research in several venues, with notable contributions appearing in the International Journal of Software Science and Computational Intelligence and arXiv (Cornell University). Key recent papers authored by Bhattacharya are:
Frequent collaborators include Lilybert Machacha, Minzhe Guo, Cheryl E. Praeger, Alexandre Campane Vidal, and Anders Skaarup Johansen. Bhattacharya has coauthored multiple works with these researchers, particularly with Lilybert Machacha who appears as a coauthor on multiple publications.
The research output of Bhattacharya covers a range of scientific topics and methods, integrating approaches from evolutionary algorithms to peer-to-peer networking strategies. The work on cancer classification using genetic algorithms and case-based reasoning reflects a cross-disciplinary intersection between computational intelligence and molecular biology, showing a breadth that links fundamental computer science concepts to applied biomedical data analysis.
Prabir Bhattacharya
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N.P. Mukherjee;Prabir Bhattacharya
Yi-Bo Zhang;Qin Li;Jane You;Prabir Bhattacharya
Noman Mohammed;Hadi Otrok;Lingyu Wang;Mourad Debbabi
Srujana Adusumilli;Deepak Bhatt;Hong Wang;Prabir Bhattacharya
J. You;P. Bhattacharya
Hadi Otrok;Noman Mohammed;Lingyu Wang;Mourad Debbabi
Deepak Bhatt;Priyanka Aggarwal;Vijay Devabhaktuni;Prabir Bhattacharya
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N P Mukherjee;Prabir Bhattacharya
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Kaushik Roy;Prabir Bhattacharya;Ching Y. Suen
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Prabir Bhattacharya
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Abu Sayeed Md. Sohail;Prabir Bhattacharya
Kaushik Roy;Prabir Bhattacharya
Kaushik Roy;Prabir Bhattacharya
Deepak Bhatt;Priyanka Aggarwal;Prabir Bhattacharya;Vijay Kumar Devabhaktuni
Kaushik Roy;Prabir Bhattacharya;Ching Y. Suen
Prabir Bhattacharya;Francis Suraweera
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H. Otrok;M. Debbabi;C. Assi;P. Bhattacharya
Hadi Otrok;Mona Mehrandish;Chadi Assi;Mourad Debbabi
Emad E. Abdallah;A. Ben Hamza;Prabir Bhattacharya
Priyanka Aggarwal;Deepak Bhatt;Vijay Devabhaktuni;Prabir Bhattacharya
Emad E. Abdallah;A. Ben Hamza;Prabir Bhattacharya
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