Bipin Kumar Tripathi

84 total papers · 766 total citations
51 papers, 477 citations indexed

About

Bipin Kumar Tripathi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Bipin Kumar Tripathi has authored 51 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 10 papers in Signal Processing. Recurrent topics in Bipin Kumar Tripathi's work include Neural Networks and Applications (21 papers), Face and Expression Recognition (13 papers) and Blind Source Separation Techniques (6 papers). Bipin Kumar Tripathi is often cited by papers focused on Neural Networks and Applications (21 papers), Face and Expression Recognition (13 papers) and Blind Source Separation Techniques (6 papers). Bipin Kumar Tripathi collaborates with scholars based in India, United States and United Kingdom. Bipin Kumar Tripathi's co-authors include Prem Kalra, Sushil Kumar, Kenneth D. Irvine, Vivek Srivastava, Vinay Kumar Pathak, Mousumi Mutsuddi, S. C. Lakhotia, O. Van Reeth, B. Chandra and Ashim Mukherjee and has published in prestigious journals such as Development, Genetics and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.

In The Last Decade

Bipin Kumar Tripathi

47 papers receiving 434 citations

Author Peers

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

Author Last Decade Papers Cites
Bipin Kumar Tripathi 160 114 68 62 49 51 477
M. Sunil Kumar 71 0.4× 25 0.2× 12 0.2× 88 1.4× 37 0.8× 44 523
Vinay Kumar 81 0.5× 114 1.0× 44 0.6× 52 0.8× 38 0.8× 55 452
Miao Li 106 0.7× 184 1.6× 105 1.5× 33 0.5× 26 0.5× 57 459
Haifang Li 68 0.4× 124 1.1× 115 1.7× 22 0.4× 38 0.8× 40 519
Stefan Wegenkittl 121 0.8× 122 1.1× 24 0.4× 182 2.9× 12 0.2× 30 524
Sijia Chen 68 0.4× 195 1.7× 79 1.2× 83 1.3× 9 0.2× 51 508
Lei Zheng 209 1.3× 89 0.8× 29 0.4× 34 0.5× 5 0.1× 34 435
Javier González 183 1.1× 34 0.3× 42 0.6× 175 2.8× 18 0.4× 33 518
Yuan Yuan 52 0.3× 192 1.7× 78 1.1× 38 0.6× 19 0.4× 33 530
Hengfu Yang 47 0.3× 309 2.7× 30 0.4× 16 0.3× 6 0.1× 38 490

Countries citing papers authored by Bipin Kumar Tripathi

Since Specialization
Citations

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

Fields of papers citing papers by Bipin Kumar Tripathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bipin Kumar Tripathi. 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 Bipin Kumar Tripathi. The network helps show where Bipin Kumar Tripathi may publish in the future.

Co-authorship network of co-authors of Bipin Kumar Tripathi

This figure shows the co-authorship network connecting the top 25 collaborators of Bipin Kumar Tripathi. A scholar is included among the top collaborators of Bipin Kumar Tripathi 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 Bipin Kumar Tripathi. Bipin Kumar Tripathi 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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