Ramesh Kumar Sunkaria

1.3k citations
94 papers · 956 · h-index 18

Impact in

Papers in

Ramesh Kumar Sunkaria

87 papers receiving 913 citations

Peers

Ramesh Kumar Sunkaria
Comparison fields: 5 of 98
  • Cardiology and Cardiovascular Medicine 558
  • Cognitive Neuroscience 350
  • Health Information Management 46
  • Signal Processing 100
  • Computer Vision and Pattern Recognition 144
Replace Lakhan Dev Sharma with:
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Fatma Lati̇foğlu Türkiye
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Ramesh Kumar Sunkaria relative to Lakhan Dev Sharma India Lakhan Dev Sharma's profile →
Citations per field
00.5×3.5×
Lakhan Dev Sharma · 1×
Citations per year

Countries citing papers authored by Ramesh Kumar Sunkaria

Since Specialization
Citations

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

Fields of papers citing papers by Ramesh Kumar Sunkaria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Ramesh Kumar Sunkaria, 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 Ramesh Kumar Sunkaria Line = papers co-authored together Ramesh Kumar Sunkaria links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201795
2 201670
3 201670
4 201939
5 201837
6 201330
7 201925
8 202125
9 201825
10 201623
11 201622
12 201622
13 201920
14 202120
15 201819
16 201719
17 201018
18 201818
19 201417
20 201917

About Ramesh Kumar Sunkaria

Ramesh Kumar Sunkaria is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Signal Processing, having authored 94 papers that have together received 956 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (37 papers), Non-Invasive Vital Sign Monitoring (26 papers), Heart Rate Variability and Autonomic Control (26 papers), EEG and Brain-Computer Interfaces (23 papers), Image and Signal Denoising Methods (16 papers), Advanced Image Fusion Techniques (10 papers), Blind Source Separation Techniques (10 papers) and Complex Systems and Time Series Analysis (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (558 citations), Cognitive Neuroscience (350 citations), Health Information Management (46 citations), Signal Processing (100 citations) and Computer Vision and Pattern Recognition (144 citations). Ramesh Kumar Sunkaria has collaborated with scholars based in India. Frequent co-authors include Lakhan Dev Sharma, Barjinder Singh Saini, Ritesh Kumar Saraswat, Vinod Kumar, Urvashi Chauhan, Himanshu Chhabra, S.C. Saxena, Deepti Mittal, Nisha Devi and Ravindra K. Rawal. Their work appears in journals such as Multimedia Tools and Applications, Measurement, Wireless Personal Communications, Multidimensional Systems and Signal Processing and Sadhana.

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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