Vipin Kumar

1.8k total citations · 1 hit paper
37 papers, 1.1k citations indexed

About

Vipin Kumar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Vipin Kumar has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 7 papers in Information Systems. Recurrent topics in Vipin Kumar's work include Face and Expression Recognition (9 papers), Machine Learning and Data Classification (7 papers) and Machine Learning in Healthcare (5 papers). Vipin Kumar is often cited by papers focused on Face and Expression Recognition (9 papers), Machine Learning and Data Classification (7 papers) and Machine Learning in Healthcare (5 papers). Vipin Kumar collaborates with scholars based in India, United States and China. Vipin Kumar's co-authors include Michael Steinbach, György Simon, Sonajharia Minz, Pranjul Yadav, Basant Subba, Emmanuel S. Pilli, Sumit Pundir, Rifaqat Ali, Pawan Kumar Sharma and Eui-Hong Han and has published in prestigious journals such as ACM Computing Surveys, Computer Networks and Neural Computing and Applications.

In The Last Decade

Vipin Kumar

34 papers receiving 1.0k citations

Hit Papers

Feature Selection: A literature Review 2014 2026 2018 2022 2014 100 200 300 400

Peers

Vipin Kumar
Comparison fields: 5 of 143
  • Artificial Intelligence 597
  • Computer Vision and Pattern Recognition 173
  • Information Systems 156
  • Computer Networks and Communications 121
  • Health Information Management 102
Replace Zhicheng Cui with:
Zhicheng Cui United States
Bo Jin China
Karla Brkić Croatia
Pedro J. García-Laencina Spain
Michael G. Madden Ireland
Sriraam Natarajan United States
J. Anuradha India
Debo Cheng China
Basabi Chakraborty Japan
Murat Karabatak Türkiye
Zhicheng Cui United States View profile →
Citations per field, relative to Vipin Kumar
Vipin Kumar · 1×
Citations per year, relative to Vipin Kumar
Vipin Kumar · 1×

Countries citing papers authored by Vipin Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Vipin Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vipin Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Vipin Kumar. A scholar is included among the top collaborators of Vipin Kumar 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 Vipin Kumar. Vipin Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 11
5 11
6 14
7 2
8 2
9 39
10 13
11 58
12 6
13 29
14 41
15
Feature Selection: A literature Review breakdown →
437
16 2
17 2
18 12
19
Learning classifier models for predicting rare phenomena
8
20 23

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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