Prashanth S. Kumar

564 citations
43 papers · 359 · h-index 10

Impact in

Papers in

Prashanth S. Kumar

40 papers receiving 342 citations

Peers

Prashanth S. Kumar
Comparison fields: 5 of 80
  • Human-Computer Interaction 29
  • Cognitive Neuroscience 81
  • Biomedical Engineering 184
  • Polymers and Plastics 41
  • Cardiology and Cardiovascular Medicine 66
Replace Yong Hyeon Yun with:
Yong Hyeon Yun South Korea
Wenjing Du China
Kaitlyn R. Ammann United States
С. В. Селищев Russia
Giannicola Loriga Italy
Jai Kyoung Sim South Korea
Jessica Hanna United States
Sarah R. Gutbrod United States
Hendrik van Egmond Belgium
Prashanth S. Kumar relative to Yong Hyeon Yun South Korea Yong Hyeon Yun's profile →
Citations per field
00.5×1.5×2.2×
Yong Hyeon Yun · 1×
Citations per year

Countries citing papers authored by Prashanth S. Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Prashanth S. Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Prashanth S. 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 Prashanth S. Kumar Line = papers co-authored together Prashanth S. Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201359
2 201450
3 201327
4 201220
5 201420
6 200720
7 201617
8 202216
9 199613
10 201212
11 20128
12 20118
13 20127
14 20217
15 20126
16 20136
17 20235
18 20105
19 20125
20 20144

About Prashanth S. Kumar

Prashanth S. Kumar is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Electrical and Electronic Engineering and Pulmonary and Respiratory Medicine, having authored 43 papers that have together received 359 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (9 papers), Non-Invasive Vital Sign Monitoring (8 papers), EEG and Brain-Computer Interfaces (6 papers), Advanced Sensor and Energy Harvesting Materials (6 papers), Heart Rate Variability and Autonomic Control (5 papers), Wireless Body Area Networks (3 papers), Phonocardiography and Auscultation Techniques (3 papers) and Gaze Tracking and Assistive Technology (2 papers). The work is most often cited by research in Human-Computer Interaction (29 citations), Cognitive Neuroscience (81 citations), Biomedical Engineering (184 citations), Polymers and Plastics (41 citations) and Cardiology and Cardiovascular Medicine (66 citations). Prashanth S. Kumar has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Vijay K. Varadan, Pratyush Rai, Sechang Oh, Robert E. Harbaugh, G. N. Mathur, Nilanjan Banerjee, Mangilal Agarwal, J.P. Parkerson, Sami Rollins and I.A. Hunter. Their work appears in journals such as Electronics, Scientific Reports, Clinical Colorectal Cancer, Burns and Journal of The Electrochemical Society.

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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