Ashish Arunkumar Sharma

88 papers receiving 3.2k citations

Ashish Arunkumar Sharma's Hit Papers

Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020 2020 · 315 citations
3150+2+4Years since publication100200300400

Peers

Ashish Arunkumar Sharma
Comparison fields: 5 of 145
  • Health Informatics 185
  • Artificial Intelligence 1.2k
  • Radiology, Nuclear Medicine and Imaging 685
  • Cardiology and Cardiovascular Medicine 662
  • Biophysics 185
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Themis P. Exarchos Greece
Uğur Halıcı Türkiye
Noel Codella United States
Tanveer Fathima Syeda-Mahmood United States
Abubakar Abid United States
Mattias Ohlsson Sweden
Arkadiusz Gertych United States
Paolo Soda Italy
Evangelia I. Zacharaki Greece
Jens Kleesiek Germany
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Citations per year

Countries citing papers authored by Ashish Arunkumar Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Ashish Arunkumar Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ashish Arunkumar Sharma. 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 Ashish Arunkumar Sharma. The network helps show where Ashish Arunkumar Sharma may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1
AI in Medical Imaging Informatics: Current Challenges and Future Directions
Hit paper breakdown →
2020474
2
Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020
Hit paper breakdown →
2020315
3 2019244
4 2018192
5 2020156
6 2021141
7 2020126
8 2019119
9 201996
10 202094
11 201276
12 201975
13 202164
14 201859
15 201158
16 202055
17 201051
18 201151
19 201748
20 202348

About Ashish Arunkumar Sharma

Ashish Arunkumar Sharma is a scholar working on Information Systems and Management, Biophysics, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Cardiology and Cardiovascular Medicine, having authored 99 papers that have together received 3.3k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (19 papers), Scientific Computing and Data Management (15 papers), AI in cancer detection (14 papers), Cell Image Analysis Techniques (12 papers), ECG Monitoring and Analysis (11 papers), Distributed and Parallel Computing Systems (10 papers), Sepsis Diagnosis and Treatment (6 papers) and Heart Rate Variability and Autonomic Control (6 papers). The work is most often cited by research in Health Informatics (185 citations), Artificial Intelligence (1.2k citations), Radiology, Nuclear Medicine and Imaging (685 citations), Cardiology and Cardiovascular Medicine (662 citations) and Biophysics (185 citations). Ashish Arunkumar Sharma has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Tahsin Kurç, Joel Haskin Saltz, Matthew A. Reyna, Gari D. Clifford, Supreeth Prajwal Shashikumar, Shamim Nemati, Christopher S. Josef, Erick Andres Perez Alday, Annie Gu and Ali Bahrami Rad. Their work appears in journals such as Journal of Pathology Informatics, npj Breast Cancer, Journal of the American Medical Informatics Association, JCO Clinical Cancer Informatics and Journal of Imaging Informatics in Medicine.

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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