Vinod Kumar

236 papers receiving 5k citations

Peers

Vinod Kumar
Comparison fields: 5 of 144
  • Neurology 397
  • Media Technology 395
  • Computer Networks and Communications 805
  • Computer Vision and Pattern Recognition 816
  • Cardiology and Cardiovascular Medicine 764
Replace Suresh Chandra Satapathy with:
Suresh Chandra Satapathy India
Yunyoung Nam South Korea
Zhang Li China
Kemal Polat Türkiye
Essam Halim Houssein Egypt
Amira Salah Ashour Egypt
Abbes Amira United Kingdom
Manoj Diwakar India
Moongu Jeon South Korea
Yang Gao China
Vinod Kumar relative to Suresh Chandra Satapathy India Suresh Chandra Satapathy's profile →
Citations per field
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Suresh Chandra Satapathy · 1×
Citations per year

Countries citing papers authored by Vinod Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Vinod Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Vinod Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vinod Kumar Line = papers co-authored together Vinod Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 256 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011307
2 2013184
3 2012153
4 2002144
5 2017133
6 2015129
7 1998111
8 2016111
9 2012108
10 2015100
11 199799
12 199894
13 201393
14 201493
15 201591
16 199987
17 202079
18 201477
19 201975
20 201174

About Vinod Kumar

Vinod Kumar is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine, Media Technology and Radiology, Nuclear Medicine and Imaging, having authored 256 papers that have together received 5.2k indexed citations. Recurring topics across this work include Advanced Authentication Protocols Security (38 papers), ECG Monitoring and Analysis (21 papers), Radiomics and Machine Learning in Medical Imaging (16 papers), Heart Rate Variability and Autonomic Control (13 papers), Medical Image Segmentation Techniques (12 papers), Wireless Communication Networks Research (11 papers), Low-power high-performance VLSI design (8 papers) and Additive Manufacturing and 3D Printing Technologies (7 papers). The work is most often cited by research in Neurology (397 citations), Media Technology (395 citations), Computer Networks and Communications (805 citations), Computer Vision and Pattern Recognition (816 citations) and Cardiology and Cardiovascular Medicine (764 citations). Vinod Kumar has collaborated with scholars based in India, France and United States. Frequent co-authors include Niranjan K. Khandelwal, Debasish Dutta, Jitendra Virmani, Naveen Kalra, Musheer Ahmad, Padma Ganasala, Chirag Kamal Ahuja, Jainy Sachdeva, Indra Gupta and Harish Verma. Their work appears in journals such as Journal of Imaging Informatics in Medicine, International Journal of Systems Science, IEEE Access, Journal of Medical Systems and Computer-Aided Design.

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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