Gopal Sarma
Impact in
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
- Health Informatics top 10%
Papers in
-
- Quantum Information and Cryptography 3
- AI-based Problem Solving and Planning 2
- Adversarial Robustness in Machine Learning 2
- Co-authors
- Christopher Reeder (4 shared papers)Steven A. Lubitz (3 shared papers)Anthony Philippakis (4 shared papers)Christopher D. Anderson (2 shared papers)Pulkit Singh (3 shared papers)Sam Friedman (2 shared papers)Paolo Di Achille (4 shared papers)Patrick T. Ellinor (4 shared papers)
- Journals
- Circulation (3 papers)Physical Review A (2 papers)Philosophical Transactions of the Royal Society B Biological Sciences (1 paper)Nature Medicine (1 paper)IEEE photonics journal (1 paper)
- Partner nations
- United StatesRussiaIran
In The Last Decade
Gopal Sarma
14 papers receiving 259 citations
Gopal Sarma's Hit Papers
Peers
Comparison fields: 5 of 73
- Aging 21
- Health Informatics 12
- Cardiology and Cardiovascular Medicine 138
- Health Information Management 11
- Cognitive Neuroscience 43
Countries citing papers authored by Gopal Sarma
This map shows the geographic impact of Gopal Sarma'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 Gopal Sarma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gopal Sarma more than expected).
Fields of papers citing papers by Gopal Sarma
This network shows the impact of papers produced by Gopal Sarma. 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 Gopal Sarma. The network helps show where Gopal Sarma may publish in the future.
Co-authors
The 25 scholars most cited alongside Gopal Sarma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | ECG-Based Deep Learning and Clinical Risk Factors to Predict Atrial Fibrillation Hit paper breakdown → | 2021 | 167 |
| 2 | 2018 | 46 | |
| 3 | 2008 | 10 | |
| 4 | 2007 | 8 | |
| 5 | 2017 | 6 | |
| 6 | 2013 | 6 | |
| 7 | 2013 | 5 | |
| 8 | 2024 | 4 | |
| 9 | 2017 | 3 | |
| 10 | 2017 | 3 | |
| 11 | 2017 | 3 | |
| 12 | 2020 | 2 | |
| 13 | 2017 | 2 | |
| 14 | 2021 | 2 | |
| 15 | 2018 | 1 | |
| 16 | 2021 | 0 | |
| 17 | 2015 | 0 |
About Gopal Sarma
Gopal Sarma is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine, Information Systems, Atomic and Molecular Physics, and Optics and Cognitive Neuroscience, having authored 17 papers that have together received 268 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (3 papers), Psychology of Moral and Emotional Judgment (2 papers), AI-based Problem Solving and Planning (2 papers), Quantum optics and atomic interactions (2 papers), Neuroethics, Human Enhancement, Biomedical Innovations (2 papers), Software Engineering Research (2 papers), Optical Network Technologies (2 papers) and Adversarial Robustness in Machine Learning (2 papers). The work is most often cited by research in Aging (21 citations), Health Informatics (12 citations), Cardiology and Cardiovascular Medicine (138 citations), Health Information Management (11 citations) and Cognitive Neuroscience (43 citations). Gopal Sarma has collaborated with scholars based in United States, Russia and Iran. Frequent co-authors include Christopher Reeder, Steven A. Lubitz, Anthony Philippakis, Christopher D. Anderson, Pulkit Singh, Sam Friedman, Paolo Di Achille, Patrick T. Ellinor, Jennifer E. Ho and Andrea S. Foulkes. Their work appears in journals such as Circulation, Physical Review A, Philosophical Transactions of the Royal Society B Biological Sciences, Nature Medicine and IEEE photonics journal.
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.