Karandeep Singh

9.0k total citations · 2 hit papers
106 papers, 2.6k citations indexed

About

Karandeep Singh is a scholar working on Artificial Intelligence, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Karandeep Singh has authored 106 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 22 papers in Epidemiology and 15 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Karandeep Singh's work include Machine Learning in Healthcare (16 papers), Sepsis Diagnosis and Treatment (13 papers) and Artificial Intelligence in Healthcare and Education (9 papers). Karandeep Singh is often cited by papers focused on Machine Learning in Healthcare (16 papers), Sepsis Diagnosis and Treatment (13 papers) and Artificial Intelligence in Healthcare and Education (9 papers). Karandeep Singh collaborates with scholars based in United States, India and South Korea. Karandeep Singh's co-authors include David W. Bates, Erkin Ötleş, Lisa P. Newmark, John P. Donnelly, Andrew Wong, Muhammad Ghous, Andrew E. Krumm, M. Phillips, Jeffrey S. McCullough and Brahmajee K. Nallamothu and has published in prestigious journals such as The Lancet, JAMA and Circulation.

In The Last Decade

Karandeep Singh

96 papers receiving 2.5k 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.

External Validation of a Widely Implemented Proprietary Sepsis Prediction Model in Hospitalized Patients

2021 431 citations Karandeep Singh et al. profile →
Testing and Evaluation of Health Care Applications of Large Language Models

2024 137 citations Suhana Bedi, Dev Dash et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Karandeep Singh United States	27	572	529	523	427	266	106	2.6k
Chris Sidey‐Gibbons United States	28	386 0.7×	391 0.7×	269 0.5×	431 1.0×	364 1.4×	102	3.0k
Maxim Topaz United States	31	565 1.0×	675 1.3×	516 1.0×	333 0.8×	161 0.6×	184	3.0k
Arnold Milstein United States	37	486 0.8×	1.5k 2.9×	438 0.8×	388 0.9×	305 1.1×	142	5.1k
Gretchen Purcell Jackson United States	28	407 0.7×	643 1.2×	574 1.1×	147 0.3×	293 1.1×	117	2.2k
Suchi Saria United States	27	1.3k 2.3×	313 0.6×	942 1.8×	800 1.9×	486 1.8×	80	4.0k
Amol S. Navathe United States	23	299 0.5×	1.2k 2.2×	349 0.7×	245 0.6×	222 0.8×	161	2.7k
Paula Dhiman United Kingdom	23	453 0.8×	168 0.3×	491 0.9×	284 0.7×	379 1.4×	77	2.8k
Alvin Rajkomar United States	14	880 1.5×	310 0.6×	959 1.8×	307 0.7×	727 2.7×	23	3.1k
Li Zhou United States	34	842 1.5×	389 0.7×	191 0.4×	299 0.7×	133 0.5×	172	3.4k
Yindalon Aphinyanaphongs United States	20	394 0.7×	271 0.5×	229 0.4×	179 0.4×	139 0.5×	64	2.3k

Countries citing papers authored by Karandeep Singh

Since Specialization

Citations

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

Fields of papers citing papers by Karandeep Singh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karandeep Singh. 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 Karandeep Singh. The network helps show where Karandeep Singh may publish in the future.

Co-authorship network of co-authors of Karandeep Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Karandeep Singh. A scholar is included among the top collaborators of Karandeep Singh 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 Karandeep Singh. Karandeep Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ansari, Sardar, et al.. (2025). Challenges in the Postmarket Surveillance of Clinical Prediction Models. NEJM AI. 2(5). 3 indexed citations

Wing, David, Job Godino, Chris Longhurst, et al.. (2025). A Human-Centered Approach for a Student Mental Health and Well-Being Mobile App: Protocol for Development, Implementation, and Evaluation. JMIR Research Protocols. 14. e68368–e68368. 1 indexed citations

Liu, Vincent X., et al.. (2025). AI Scribes Are Not Productivity Tools (Yet). NEJM AI. 2(12). 1 indexed citations

Singh, Karandeep, et al.. (2024). Cloud-To-Driller's HMI Closed-Loop Drilling Automation: Field Test Results with Machine Learning ROP Optimizer. IADC/SPE International Drilling Conference and Exhibition. 4 indexed citations

Lyons, Patrick G., David A Dorr, Genevieve B. Melton, Karandeep Singh, & Philip Payne. (2024). Meeting the Artificial Intelligence Needs of U.S. Health Systems. Annals of Internal Medicine. 177(10). 1428–1430.

Longhurst, Chris, et al.. (2024). A Call for Artificial Intelligence Implementation Science Centers to Evaluate Clinical Effectiveness. NEJM AI. 1(8). 26 indexed citations

Wardi, Gabriel, Atul Malhotra, Michael Hogarth, et al.. (2024). Large Language Models for More Efficient Reporting of Hospital Quality Measures. NEJM AI. 1(11). 16 indexed citations

Bedi, Suhana, Dev Dash, Oluwasanmi Koyejo, et al.. (2024). A Systematic Review of Testing and Evaluation of Healthcare Applications of Large Language Models (LLMs). medRxiv. 16 indexed citations

Vaid, Akhil, Mayte Suárez‐Fariñas, Sanjeev Kaul, et al.. (2023). Implications of the Use of Artificial Intelligence Predictive Models in Health Care Settings. Annals of Internal Medicine. 176(10). 1358–1369. 23 indexed citations

10.

Price, W. Nicholson, Mark Sendak, Suresh Balu, & Karandeep Singh. (2023). Enabling collaborative governance of medical AI. Nature Machine Intelligence. 5(8). 821–823. 14 indexed citations

11.

Singh, Karandeep, Dipanjan Giri, Samik Jhulki, et al.. (2023). Ambipolar Doping in π-Conjugated Polymers. ACS Applied Electronic Materials. 5(12). 6765–6777. 4 indexed citations

12.

Fernandez, Anne C., et al.. (2023). Predicting Persistent Opioid Use after Hand Surgery: A Machine Learning Approach. Plastic & Reconstructive Surgery. 154(3). 573–580. 7 indexed citations

13.

Loftus, Tyler J., Benjamin Shickel, Tezcan Ozrazgat‐Baslanti, et al.. (2022). Artificial intelligence-enabled decision support in nephrology. Nature Reviews Nephrology. 18(7). 452–465. 49 indexed citations

14.

Joo, Hyeon, et al.. (2022). External Validation of Postpartum Hemorrhage Prediction Models Using Electronic Health Record Data. American Journal of Perinatology. 41(5). 598–605. 6 indexed citations

15.

Kontar, Raed Al, Eunshin Byon, Mosharaf Chowdhury, et al.. (2021). The Internet of Federated Things (IoFT). IEEE Access. 9. 156071–156113. 37 indexed citations

16.

Ansari, Sardar, Richard P. Medlin, Steven L. Kronick, et al.. (2021). Predicting Intensive Care Transfers and Other Unforeseen Events: Analytic Model Validation Study and Comparison to Existing Methods. JMIR Medical Informatics. 9(4). e25066–e25066. 18 indexed citations

17.

Singh, Karandeep, et al.. (2020). Motorcycle Riding Safety. 1(3). 64–66. 1 indexed citations

18.

Mavrakanas, Thomas A., et al.. (2019). Association of Chronic Kidney Disease with Preserved Ejection Fraction Heart Failure Is Independent of Baseline Cardiac Function. Kidney & Blood Pressure Research. 44(5). 1247–1258. 13 indexed citations

19.

Singh, Karandeep, Niteesh K. Choudhry, Alexis A. Krumme, et al.. (2019). A concept‐wide association study to identify potential risk factors for nonadherence among prevalent users of antihypertensives. Pharmacoepidemiology and Drug Safety. 28(10). 1299–1308. 5 indexed citations

20.

Singh, Karandeep, et al.. (2012). Carcinosarcoma of Breast. 4(4). 364–366. 1 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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