Indian Statistical Institute

276.1k citations
14.6k papers ·

Impact in

Papers in

Indian Statistical Institute

13.6k papers receiving 276k citations

Peers

Indian Statistical Institute
Comparison fields: 5 of 248
  • Computer Vision and Pattern Recognition 33.2k
  • Artificial Intelligence 47.1k
  • Statistics and Probability 16.1k
  • Media Technology 6.6k
  • Computational Theory and Mathematics 11.4k
Replace Jadavpur University with:
Jadavpur University India
Indian Institute of Technology Kanpur India
University of Calcutta India
National Institute of Technology Rourkela India
Indian Institute of Technology Madras India
Indian Institute of Technology Guwahati India
Indian Institute of Science Bangalore India
University of Kalyani India
Yunnan University China
Indian Institute of Technology Bombay India
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Citations per field
00.5×5×11.4×
Jadavpur University · 1×
Citations per year

Countries citing scholars working at Indian Statistical Institute

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Indian Statistical Institute. 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 papers produced at Indian Statistical Institute with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Indian Statistical Institute more than expected).

Fields of papers published by authors at Indian Statistical Institute

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Indian Statistical Institute at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Indian Statistical Institute at the time of their publication.

About Indian Statistical Institute

In recent decades, authors affiliated with Indian Statistical Institute have published 14.6k papers, which have received a total of 276.1k indexed citations . Scholars at this organization have produced 1.4k papers in Statistics and Probability, 1.7k papers in Computer Vision and Pattern Recognition, 2.2k papers in Artificial Intelligence, 661 papers in Mathematical Physics and 849 papers in Computational Theory and Mathematics on the topics of Handwritten Text Recognition Techniques (652 papers), Statistical Distribution Estimation and Applications (446 papers), Probability and Statistical Research (390 papers), Cryptographic Implementations and Security (367 papers), Mathematical and Theoretical Epidemiology and Ecology Models (293 papers), Advanced Clustering Algorithms Research (264 papers), Statistical Methods and Inference (249 papers) and Metaheuristic Optimization Algorithms Research (232 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (33.2k citations), Artificial Intelligence (47.1k citations), Statistics and Probability (16.1k citations), Media Technology (6.6k citations) and Computational Theory and Mathematics (11.4k citations). Authors at Indian Statistical Institute collaborate with scholars in India, United States and United Kingdom and have published in prestigious journals including Pattern Recognition Letters, Journal of Statistical Planning and Inference, Pattern Recognition, Information Sciences and Lecture notes in computer science. Some of Indian Statistical Institute's most productive authors include Sankar Kumar Pal, Nikhil Ranjan Pal, Sanghamitra Bandyopadhyay, Bidyut Baran Chaudhuri, Soumyananda Dinda, Swagatam Das, Sushmita Mitra, Ujjwal Maulik, Umapada Pal and Joydev Chattopadhyay.

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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