Kapil Gupta

432 total citations
18 papers, 244 citations indexed

About

Kapil Gupta is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, Kapil Gupta has authored 18 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 8 papers in Cognitive Neuroscience and 7 papers in Biomedical Engineering. Recurrent topics in Kapil Gupta's work include EEG and Brain-Computer Interfaces (8 papers), ECG Monitoring and Analysis (6 papers) and Non-Invasive Vital Sign Monitoring (6 papers). Kapil Gupta is often cited by papers focused on EEG and Brain-Computer Interfaces (8 papers), ECG Monitoring and Analysis (6 papers) and Non-Invasive Vital Sign Monitoring (6 papers). Kapil Gupta collaborates with scholars based in India, Australia and Singapore. Kapil Gupta's co-authors include Varun Bajaj, Irshad Ahmad Ansari, U. Rajendra Acharya, Manish Sharma, Amir Hussain, Deepak Kumar Jain, Saurabh Jain, Apar Avinash Saoji, Raghavendra Bhat and Jeffrey A. Jargon and has published in prestigious journals such as Expert Systems with Applications, Applied Soft Computing and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Kapil Gupta

16 papers receiving 238 citations

Peers

Kapil Gupta
Comparison fields: 5 of 52
  • Biomedical Engineering 88
  • Cardiology and Cardiovascular Medicine 72
  • Cognitive Neuroscience 62
  • Radiology, Nuclear Medicine and Imaging 54
  • Artificial Intelligence 42
Replace Po‐Chih Kuo with:
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Jiali Ma China
Rohan Banerjee India
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Patrick H. Luckett United States
Agnieszka Kitlas Golińska Poland
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Citations per field, relative to Kapil Gupta
Kapil Gupta · 1×
Citations per year, relative to Kapil Gupta
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Countries citing papers authored by Kapil Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Kapil Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kapil Gupta

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

All Works

18 of 18 papers shown
# Work Indexed citations
1 1
2 0
3 6
4 1
5 2
6 7
7 0
8 15
9 9
10 14
11 62
12 25
13 15
14 18
15 6
16 14
17 48
18
ANN model for HEMTs constructed from large-signal time-domain measurements
1

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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