Gopal Sarma

2.6k total citations · 1 hit paper
17 papers, 268 citations indexed

About

Gopal Sarma is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine and Information Systems. According to data from OpenAlex, Gopal Sarma has authored 17 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Information Systems. Recurrent topics in Gopal Sarma's work include Quantum Information and Cryptography (3 papers), Software Engineering Research (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Gopal Sarma is often cited by papers focused on Quantum Information and Cryptography (3 papers), Software Engineering Research (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Gopal Sarma collaborates with scholars based in United States, Austria and Russia. Gopal Sarma's co-authors include Mostafa A. Al‐Alusi, Christopher D. Anderson, Xin Wang, Nathaniel Diamant, Jennifer E. Ho, Paolo Di Achille, Sam Friedman, Shaan Khurshid, Puneet Batra and Patrick T. Ellinor and has published in prestigious journals such as Circulation, Nature Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Gopal Sarma

14 papers receiving 259 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

ECG-Based Deep Learning and Clinical Risk Factors to Predict Atrial Fibrillation

2021 167 citations Shaan Khurshid, Sam Friedman et al. Circulation profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Gopal Sarma United States	6	138	48	43	23	21	17	268
Agnieszka Kitlas Golińska Poland	9	45 0.3×	17 0.4×	43 1.0×	5 0.2×	11 0.5×	15	180
Jan Christoph Germany	10	164 1.2×	21 0.4×	54 1.3×	16 0.7×	35 1.7×	17	372
Gorana Mijatović Serbia	9	76 0.6×	25 0.5×	88 2.0×	4 0.2×	19 0.9×	43	245
Malgorzata Turalska United States	10	40 0.3×	17 0.4×	70 1.6×	8 0.3×	69 3.3×	22	378
Aviv A. Rosenberg Israel	8	158 1.1×	29 0.6×	51 1.2×	1 0.0×	31 1.5×	13	291
Ilija Uzelac United States	11	260 1.9×	14 0.3×	49 1.1×	16 0.7×	38 1.8×	42	400
Xupeng Chen China	9	18 0.1×	29 0.6×	40 0.9×	26 1.1×	11 0.5×	26	212
Edward S.C. Shih Taiwan	10	229 1.7×	27 0.6×	116 2.7×	3 0.1×	40 1.9×	15	364
Marcella C. Woods United States	10	120 0.9×	3 0.1×	17 0.4×	13 0.6×	30 1.4×	22	309
Mark Janse Belgium	8	333 2.4×	22 0.5×	22 0.5×	2 0.1×	19 0.9×	44	486

Countries citing papers authored by Gopal Sarma

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Gopal Sarma

This figure shows the co-authorship network connecting the top 25 collaborators of Gopal Sarma. A scholar is included among the top collaborators of Gopal Sarma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gopal Sarma. Gopal Sarma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Haimovich, Julian S., Paolo Di Achille, Victor Nauffal, et al.. (2024). Frequency of Electrocardiogram-Defined Cardiac Conduction Disorders in a Multi-Institutional Primary Care Cohort. JACC Advances. 3(7). 101004–101004. 4 indexed citations

Haimovich, Julian S., Shaan Khurshid, Paolo Di Achille, et al.. (2021). Abstract 10587: Frequency and Outcomes of Bradyarrhythmias in the Community. Circulation. 144(Suppl_1).

Khurshid, Shaan, Sam Friedman, Christopher Reeder, et al.. (2021). Abstract 12922: Electrocardiogram-Based Deep Learning and Clinical Risk Factors to Predict Incident Atrial Fibrillation. Circulation. 144(Suppl_1). 2 indexed citations

Khurshid, Shaan, Sam Friedman, Christopher Reeder, et al.. (2021). ECG-Based Deep Learning and Clinical Risk Factors to Predict Atrial Fibrillation. Circulation. 145(2). 122–133. 167 indexed citations breakdown →

Sarma, Gopal, Allan I. Levey, & Victor Faúndez. (2020). The physician-scientist, 75 years after Vannevar Bush–rethinking the ‘bench’ and ‘bedside’ dichotomy. Nature Medicine. 26(4). 461–462. 2 indexed citations

Sarma, Gopal, Bradly Alicea, Matteo Cantarelli, et al.. (2018). OpenWorm: overview and recent advances in integrative biological simulation of Caenorhabditis elegans. Philosophical Transactions of the Royal Society B Biological Sciences. 373(1758). 20170382–20170382. 46 indexed citations

Sarma, Gopal, Adam Safron, & N. Hay. (2018). Integrative Biological Simulation, Neuropsychology, and AI Safety. SSRN Electronic Journal. 1 indexed citations

Sarma, Gopal & N. Hay. (2017). Mammalian Value Systems. SSRN Electronic Journal. 3 indexed citations

Sarma, Gopal & N. Hay. (2017). Robust Computer Algebra, Theorem Proving, and Oracle AI. SSRN Electronic Journal. 2 indexed citations

10.

Sarma, Gopal & N. Hay. (2017). Mammalian Value Systems. OSF Preprints (OSF Preprints). 6 indexed citations

11.

Sarma, Gopal & Victor Faúndez. (2017). Integrative biological simulation praxis: Considerations from physics, philosophy, and data/model curation practices. PubMed. 7(4). e1392400–e1392400. 3 indexed citations

12.

Sarma, Gopal & N. Hay. (2017). Robust Computer Algebra, Theorem Proving, and Oracle AI. OSF Preprints (OSF Preprints). 3 indexed citations

13.

Sarma, Gopal. (2015). The Art of Memory and the Growth of the Scientific Method. SHILAP Revista de lepidopterología. 13(3). 373–396.

14.

Sarma, Gopal, Ryan Hamerly, Nikolas Tezak, Dmitri S. Pavlichin, & Hideo Mabuchi. (2013). Transformation of Quantum Photonic Circuit Models by Term Rewriting. IEEE photonics journal. 5(1). 7500111–7500111. 5 indexed citations

15.

Sarma, Gopal & Hideo Mabuchi. (2013). Gauge subsystems, separability and robustness in autonomous quantum memories. New Journal of Physics. 15(3). 35014–35014. 6 indexed citations

16.

Sarma, Gopal, Andrew Silberfarb, & Hideo Mabuchi. (2008). Quantum stochastic calculus approach to modeling double-pass atom-field coupling. Physical Review A. 78(2). 10 indexed citations

17.

Bouten, Luc, John K. Stockton, Gopal Sarma, & Hideo Mabuchi. (2007). Scattering of polarized laser light by an atomic gas in free space: A quantum stochastic differential equation approach. Physical Review A. 75(5). 8 indexed citations

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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