Ashwin Belle

29 papers receiving 742 citations

Ashwin Belle's Hit Papers

Big Data Analytics in Healthcare 2015 · 366 citations
3660+3+7Years since publication100200300

Peers

Ashwin Belle
Comparison fields: 5 of 128
  • Health Information Management 186
  • Health Informatics 46
  • Medical Laboratory Technology 16
  • General Dentistry 16
  • Management Information Systems 86
Replace Chih‐Wen Cheng with:
Chih‐Wen Cheng United States
Emma Chen United States
Elie Bou Assi Canada
Paisan Ruamviboonsuk Thailand
Janani Venugopalan United States
Alramzana Nujum Navaz United Arab Emirates
Arnaldo Mendez Canada
Daniel Fabbri United States
Maryam Panahiazar United States
Andrius Budrionis Norway
Ashwin Belle relative to Chih‐Wen Cheng United States Chih‐Wen Cheng's profile →
Citations per field
00.5×2×4×5.3×
Chih‐Wen Cheng · 1×
Citations per year

Countries citing papers authored by Ashwin Belle

Since Specialization
Citations

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

Fields of papers citing papers by Ashwin Belle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Big Data Analytics in Healthcare
Hit paper breakdown →
2015366
2 201252
3 201352
4 201351
5 201430
6 201325
7 201620
8 201119
9 201318
10 201518
11 201616
12 201313
13 201012
14 201412
15 201411
16 201010
17 201310
18 201310
19 201710
20 19957

About Ashwin Belle

Ashwin Belle is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering, Health Information Management, Cognitive Neuroscience and Surgery, having authored 30 papers that have together received 793 indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (6 papers), ECG Monitoring and Analysis (6 papers), Heart Rate Variability and Autonomic Control (6 papers), EEG and Brain-Computer Interfaces (5 papers), Medical Imaging and Analysis (5 papers), Healthcare Technology and Patient Monitoring (4 papers), Artificial Intelligence in Healthcare (3 papers) and Sleep and Work-Related Fatigue (3 papers). The work is most often cited by research in Health Information Management (186 citations), Health Informatics (46 citations), Medical Laboratory Technology (16 citations), General Dentistry (16 citations) and Management Information Systems (86 citations). Ashwin Belle has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Kayvan Najarian, Fatemeh Navidi, Daniel Beard, S. M. Reza Soroushmehr, Kevin R. Ward, Sardar Ansari, Mark Kon, Charles Cockrell, Wenan Chen and Ou Bai. Their work appears in journals such as Journal of Visualized Experiments, Journal of Clinical Monitoring and Computing, Physiological Measurement, International Journal of Imaging Systems and Technology and BioMed Research International.

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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