Erkin Ötleş

1.3k total citations · 1 hit paper
19 papers, 770 citations indexed

About

Erkin Ötleş is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Erkin Ötleş has authored 19 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Public Health, Environmental and Occupational Health, 6 papers in Epidemiology and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Erkin Ötleş's work include Innovations in Medical Education (7 papers), Clinical Reasoning and Diagnostic Skills (5 papers) and Emergency and Acute Care Studies (4 papers). Erkin Ötleş is often cited by papers focused on Innovations in Medical Education (7 papers), Clinical Reasoning and Diagnostic Skills (5 papers) and Emergency and Acute Care Studies (4 papers). Erkin Ötleş collaborates with scholars based in United States. Erkin Ötleş's co-authors include Karandeep Singh, John P. Donnelly, Andrew Wong, Andrew E. Krumm, M. Phillips, Jeffrey S. McCullough, Muhammad Ghous, Brian C. George, Jie Cao and Robert J. Batt and has published in prestigious journals such as BMJ, Academic Medicine and JAMA Internal Medicine.

In The Last Decade

Erkin Ötleş

19 papers receiving 753 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 Andrew Wong, Erkin Ötleş et al. JAMA Internal Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Erkin Ötleş United States	10	289	242	225	153	137	19	770
Michael Draugelis United States	8	142 0.5×	280 1.2×	261 1.2×	176 1.2×	102 0.7×	15	839
Suresh Balu United States	16	446 1.5×	374 1.5×	204 0.9×	181 1.2×	158 1.2×	54	1.1k
Toshihiko Takada Japan	16	164 0.6×	170 0.7×	138 0.6×	152 1.0×	114 0.8×	74	924
Armando Bedoya United States	13	222 0.8×	225 0.9×	185 0.8×	79 0.5×	68 0.5×	33	739
Rishi Panday Netherlands	12	348 1.2×	151 0.6×	267 1.2×	138 0.9×	172 1.3×	29	873
Katharine E. Henry United States	8	189 0.7×	448 1.9×	354 1.6×	61 0.4×	74 0.5×	14	826
Muhammad Ghous Pakistan	3	191 0.7×	176 0.7×	155 0.7×	62 0.4×	58 0.4×	7	446
Santiago Romero‐Brufau United States	16	132 0.5×	168 0.7×	291 1.3×	69 0.5×	59 0.4×	39	817
Zahir Kanjee United States	10	314 1.1×	190 0.8×	86 0.4×	80 0.5×	115 0.8×	32	713
Sarah Collins Rossetti United States	17	141 0.5×	190 0.8×	130 0.6×	162 1.1×	39 0.3×	64	820

Countries citing papers authored by Erkin Ötleş

Since Specialization

Citations

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

Fields of papers citing papers by Erkin Ötleş

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erkin Ötleş

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

All Works

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19 of 19 papers shown

Tang, Shengpu, Stephanie A. Shepard, Ruby-Jean Clark, et al.. (2025). Guiding Clostridioides difficile Infection Prevention Efforts in a Hospital Setting With AI. JAMA Network Open. 8(6). e2515213–e2515213. 2 indexed citations

Schipper, Matthew J., Lars G. Fritsche, Garth W. Strohbehn, et al.. (2024). Pan‐Cancer Survival Impact of Immune Checkpoint Inhibitors in a National Healthcare System. Cancer Medicine. 13(21). e70379–e70379. 4 indexed citations

Krumm, Andrew E., et al.. (2023). Strategies for evaluating predictive models: examples and implications based on a natural language processing model used to assess operative performance feedback. Global Surgical Education - Journal of the Association for Surgical Education. 3(1). 2 indexed citations

George, Brian C., et al.. (2023). Association of Gender and Operative Feedback Quality in Surgical Residents. Journal of surgical education. 80(11). 1516–1521. 6 indexed citations

Ötleş, Erkin, et al.. (2023). Clostridioides difficile infection surveillance in intensive care units and oncology wards using machine learning. Infection Control and Hospital Epidemiology. 44(11). 1776–1781. 5 indexed citations

Ötleş, Erkin, et al.. (2022). Using natural language processing to determine factors associated with high-quality feedback. Global Surgical Education - Journal of the Association for Surgical Education. 1(1). 5 indexed citations

Kamineni, Meghana, Erkin Ötleş, Krishna Rao, et al.. (2022). Prospective evaluation of data-driven models to predict daily risk of Clostridioides difficile infection at 2 large academic health centers. Infection Control and Hospital Epidemiology. 44(7). 1163–1166. 3 indexed citations

Ötleş, Erkin, et al.. (2022). Teaching artificial intelligence as a fundamental toolset of medicine. Cell Reports Medicine. 3(12). 100824–100824. 19 indexed citations

Ötleş, Erkin, J.L. Seymour, Haozhu Wang, & Brian T. Denton. (2022). Dynamic prediction of work status for workers with occupational injuries: assessing the value of longitudinal observations. Journal of the American Medical Informatics Association. 29(11). 1931–1940. 3 indexed citations

10.

Tang, Shengpu, Erkin Ötleş, Dustin McEvoy, et al.. (2022). Early identification of patients admitted to hospital for covid-19 at risk of clinical deterioration: model development and multisite external validation study. BMJ. 376. e068576–e068576. 38 indexed citations

11.

Abbott, Kenneth L., Brian C. George, Gurjit Sandhu, et al.. (2021). Natural Language Processing to Estimate Clinical Competency Committee Ratings. Journal of surgical education. 78(6). 2046–2051. 15 indexed citations

12.

Ötleş, Erkin, et al.. (2021). Using Natural Language Processing to Automatically Assess Feedback Quality: Findings From 3 Surgical Residencies. Academic Medicine. 96(10). 1457–1460. 35 indexed citations

13.

Chopra, Zoey, Daniel E. Kendrick, Kenneth L. Abbott, et al.. (2021). Natural Language Processing and Assessment of Resident Feedback Quality. Journal of surgical education. 78(6). e72–e77. 32 indexed citations

14.

Wong, Andrew, Erkin Ötleş, John P. Donnelly, et al.. (2021). External Validation of a Widely Implemented Proprietary Sepsis Prediction Model in Hospitalized Patients. JAMA Internal Medicine. 181(8). 1065–1070. 431 indexed citations breakdown →

15.

Wong, Andrew, Jie Cao, Patrick G. Lyons, et al.. (2021). Quantification of Sepsis Model Alerts in 24 US Hospitals Before and During the COVID-19 Pandemic. JAMA Network Open. 4(11). e2135286–e2135286. 37 indexed citations

16.

Beasley, John W., Richard J. Holden, Erkin Ötleş, et al.. (2020). It's time to bring human factors to primary care policy and practice. Applied Ergonomics. 85. 103077–103077. 5 indexed citations

17.

Singh, Karandeep, Thomas S. Valley, Shengpu Tang, et al.. (2020). Evaluating a Widely Implemented Proprietary Deterioration Index Model among Hospitalized Patients with COVID-19. Annals of the American Thoracic Society. 18(7). 1129–1137. 74 indexed citations

18.

Patterson, Brian W., et al.. (2016). Cherry Picking Patients: Examining the Interval Between Patient Rooming and Resident Self-assignment. Academic Emergency Medicine. 23(6). 679–684. 18 indexed citations

19.

Batt, Robert J., et al.. (2016). The Impact of Emergency Department Census on the Decision to Admit. Academic Emergency Medicine. 24(1). 13–21. 36 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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