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
- Adversarial Robustness in Machine Learning 2
- AI-based Problem Solving and Planning 2
-
- Software Engineering Research 2
- Co-authors
- Patrick T. Ellinor (4 shared papers)Anthony Philippakis (4 shared papers)Xin Wang (4 shared papers)Shaan Khurshid (4 shared papers)Christopher Reeder (4 shared papers)Paolo Di Achille (4 shared papers)Mostafa A. Al‐Alusi (2 shared papers)Sam Friedman (2 shared papers)
- Journals
- Circulation (3 papers)Physical Review A (2 papers)Nature Medicine (1 paper)Philosophical Transactions of the Royal Society B Biological Sciences (1 paper)New Journal of Physics (1 paper)
- Partner nations
- United StatesAustriaSlovenia
In The Last Decade
Gopal Sarma
15 papers receiving 289 citations
Gopal Sarma's Hit Papers
Peers
Comparison fields: 5 of 68
- Aging 21
- Health Informatics 11
- Cardiology and Cardiovascular Medicine 129
- Cognitive Neuroscience 40
- Health Information Management 9
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 | 191 |
| 2 | 2018 | 47 | |
| 3 | 2008 | 11 | |
| 4 | 2007 | 9 | |
| 5 | 2017 | 6 | |
| 6 | 2013 | 6 | |
| 7 | 2024 | 5 | |
| 8 | 2013 | 5 | |
| 9 | 2017 | 3 | |
| 10 | 2017 | 3 | |
| 11 | 2017 | 3 | |
| 12 | 2020 | 2 | |
| 13 | 2021 | 2 | |
| 14 | 2017 | 2 | |
| 15 | 2018 | 1 | |
| 16 | 2015 | 1 | |
| 17 | 2021 | 0 | |
| 18 | Reconsidering Written Language | 2015 | 0 |
About Gopal Sarma
Gopal Sarma is a scholar working on Artificial Intelligence, Information Systems, Atomic and Molecular Physics, and Optics, Cognitive Neuroscience and Genetics, having authored 18 papers that have together received 297 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (3 papers), Adversarial Robustness in Machine Learning (2 papers), Evolution and Genetic Dynamics (2 papers), Software Engineering Research (2 papers), Neuroethics, Human Enhancement, Biomedical Innovations (2 papers), Optical Network Technologies (2 papers), AI-based Problem Solving and Planning (2 papers) and Psychology of Moral and Emotional Judgment (2 papers). The work is most often cited by research in Aging (21 citations), Health Informatics (11 citations), Cardiology and Cardiovascular Medicine (129 citations), Cognitive Neuroscience (40 citations) and Health Information Management (9 citations). Gopal Sarma has collaborated with scholars based in United States, Austria and Slovenia. Frequent co-authors include Patrick T. Ellinor, Anthony Philippakis, Xin Wang, Shaan Khurshid, Christopher Reeder, Paolo Di Achille, Mostafa A. Al‐Alusi, Sam Friedman, Christopher D. Anderson and Steven A. Lubitz. Their work appears in journals such as Circulation, Physical Review A, Nature Medicine, Philosophical Transactions of the Royal Society B Biological Sciences and New Journal of Physics.
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.