Samit Kumar Ghosh

40 papers receiving 732 citations

Peers

Samit Kumar Ghosh
Comparison fields: 5 of 83
  • Cardiology and Cardiovascular Medicine 288
  • Cognitive Neuroscience 213
  • Signal Processing 111
  • Pulmonary and Respiratory Medicine 294
  • Computational Mathematics 5
Replace Shivnarayan Patidar with:
Shivnarayan Patidar India
Gökhan Altan Türkiye
Palani Thanaraj Krishnan India
Ramesh Kumar Sunkaria India
Morteza Zabihi Finland
Yuxi Zhou China
Sajid Gul Khawaja Pakistan
Cristhian Potes United States
Binish Fatimah India
Muqing Deng China
Samit Kumar Ghosh relative to Shivnarayan Patidar India Shivnarayan Patidar's profile →
Citations per field
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Citations per year

Countries citing papers authored by Samit Kumar Ghosh

Since Specialization
Citations

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

Fields of papers citing papers by Samit Kumar Ghosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020109
2 202193
3 201972
4 202260
5 202154
6 202439
7 202039
8 202039
9 202129
10 202226
11 202024
12 202020
13 201817
14 202316
15 202313
16 202113
17 202112
18 20219
19 20199
20 20157

About Samit Kumar Ghosh

Samit Kumar Ghosh is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Electrical and Electronic Engineering, Computer Networks and Communications and Cognitive Neuroscience, having authored 46 papers that have together received 761 indexed citations. Recurring topics across this work include Phonocardiography and Auscultation Techniques (17 papers), ECG Monitoring and Analysis (9 papers), EEG and Brain-Computer Interfaces (6 papers), Image and Signal Denoising Methods (4 papers), Cognitive Radio Networks and Spectrum Sensing (3 papers), Distributed Sensor Networks and Detection Algorithms (3 papers), Artificial Intelligence in Healthcare (3 papers) and Machine Fault Diagnosis Techniques (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (288 citations), Cognitive Neuroscience (213 citations), Signal Processing (111 citations), Pulmonary and Respiratory Medicine (294 citations) and Computational Mathematics (5 citations). Samit Kumar Ghosh has collaborated with scholars based in India, United Arab Emirates and Singapore. Frequent co-authors include Rajesh Kumar Tripathy, U. Rajendra Acharya, R. N. Ponnalagu, Ram Bilas Pachori, Jay Karhade, Ahsan H. Khandoker, Manish Sharma, A. K. Choudhury, Mario R. Arrieta Paternina and Ganesh R. Naik. Their work appears in journals such as Computers in Biology and Medicine, IEEE Transactions on Computers, IEEE Transactions on Instrumentation and Measurement, Scientific Reports and IEEE Access.

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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