Ashwin Belle

28 papers receiving 724 citations

Ashwin Belle's Hit Papers

Big Data Analytics in Healthcare 2015 · 362 citations
3620+3+7Years since publication100200300

Peers

Ashwin Belle
Comparison fields: 5 of 126
  • Health Information Management 184
  • Health Informatics 45
  • General Dentistry 16
  • Medical Laboratory Technology 14
  • Management Information Systems 86
Replace Chih‐Wen Cheng with:
Chih‐Wen Cheng United States
Giuseppe Fico Spain
Marco Eichelberg Germany
Andreas S. Panayides Cyprus
Alramzana Nujum Navaz United Arab Emirates
Janani Venugopalan United States
Maryam Panahiazar United States
Daniel Fabbri United States
Jim Basilakis Australia
Elie Bou Assi Canada
Ashwin Belle relative to Chih‐Wen Cheng United States Chih‐Wen Cheng's profile →
Citations per field
00.5×5.3×
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 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Big Data Analytics in Healthcare
Hit paper breakdown →
2015362
2 201351
3 201251
4 201350
5 201430
6 201325
7 201518
8 201118
9 201618
10 201616
11 201316
12 201313
13 201412
14 201012
15 201310
16 201310
17 201010
18 201410
19 20179
20 19957

About Ashwin Belle

Ashwin Belle is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine, Surgery, Cognitive Neuroscience and Artificial Intelligence, having authored 29 papers that have together received 774 indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (6 papers), ECG Monitoring and Analysis (6 papers), Medical Imaging and Analysis (5 papers), Heart Rate Variability and Autonomic Control (5 papers), EEG and Brain-Computer Interfaces (5 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers), Machine Learning in Healthcare (3 papers) and Artificial Intelligence in Healthcare (3 papers). The work is most often cited by research in Health Information Management (184 citations), Health Informatics (45 citations), General Dentistry (16 citations), Medical Laboratory Technology (14 citations) and Management Information Systems (86 citations). Ashwin Belle has collaborated with scholars based in United States, Norway and Netherlands. Frequent co-authors include Kayvan Najarian, S. M. Reza Soroushmehr, Fatemeh Navidi, Thiagarajan Raghuram, Daniel Beard, Kevin R. Ward, Sardar Ansari, Mark Kon, Charles Cockrell and Wenan Chen. Their work appears in journals such as Journal of Visualized Experiments, International Journal of Imaging Systems and Technology, Physiological Measurement, RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren 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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