Andrew E. Krumm

1.4k total citations · 1 hit paper
55 papers, 787 citations indexed

About

Andrew E. Krumm is a scholar working on Public Health, Environmental and Occupational Health, Surgery and Education. According to data from OpenAlex, Andrew E. Krumm has authored 55 papers receiving a total of 787 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Public Health, Environmental and Occupational Health, 21 papers in Surgery and 17 papers in Education. Recurrent topics in Andrew E. Krumm's work include Innovations in Medical Education (24 papers), Surgical Simulation and Training (21 papers) and Cardiac, Anesthesia and Surgical Outcomes (15 papers). Andrew E. Krumm is often cited by papers focused on Innovations in Medical Education (24 papers), Surgical Simulation and Training (21 papers) and Cardiac, Anesthesia and Surgical Outcomes (15 papers). Andrew E. Krumm collaborates with scholars based in United States, Canada and Norway. Andrew E. Krumm's co-authors include Erkin Ötleş, M. Phillips, Andrew Wong, John P. Donnelly, Jeffrey S. McCullough, Muhammad Ghous, Karandeep Singh, Stephanie D. Teasley, Steven Lonn and Brian C. George and has published in prestigious journals such as Annals of Surgery, Computers & Education and Academic Medicine.

In The Last Decade

Andrew E. Krumm

44 papers receiving 759 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 Erkin Ötleş, Andrew E. Krumm et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrew E. Krumm United States	10	207	197	155	143	140	55	787
Shaikat Mondal India	13	288 1.4×	143 0.7×	31 0.2×	49 0.3×	91 0.7×	133	757
Tracie Risling Canada	11	300 1.4×	104 0.5×	30 0.2×	61 0.4×	178 1.3×	33	825
David Chartash United States	8	1.1k 5.5×	420 2.1×	56 0.4×	18 0.1×	169 1.2×	25	1.4k
Khalil Kimiafar Iran	14	124 0.6×	62 0.3×	38 0.2×	19 0.1×	116 0.8×	80	692
Arun Vijay Subbarayalu Saudi Arabia	10	197 1.0×	83 0.4×	36 0.2×	44 0.3×	72 0.5×	63	611
Aidan Gilson United States	4	1.1k 5.4×	406 2.1×	38 0.2×	17 0.1×	130 0.9×	14	1.3k
Thomas Huang United States	6	1.1k 5.5×	412 2.1×	36 0.2×	17 0.1×	129 0.9×	13	1.4k
Vimig Socrates United States	7	1.1k 5.5×	426 2.2×	37 0.2×	17 0.1×	156 1.1×	17	1.4k
Cord Spreckelsen Germany	12	24 0.1×	79 0.4×	11 0.1×	273 1.9×	160 1.1×	50	713
Masoumeh Sarbaz Iran	12	118 0.6×	52 0.3×	35 0.2×	20 0.1×	90 0.6×	60	539

Countries citing papers authored by Andrew E. Krumm

Since Specialization

Citations

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

Fields of papers citing papers by Andrew E. Krumm

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew E. Krumm. 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 Andrew E. Krumm. The network helps show where Andrew E. Krumm may publish in the future.

Co-authorship network of co-authors of Andrew E. Krumm

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

All Works

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20 of 20 papers shown

An, Lawrence C., et al.. (2025). Initial and persistent changes in cancer screening in a US Midwestern community health center network following the onset of COVID-19. Preventive Medicine Reports. 53. 103030–103030.

Kalpakjian, Claire Z., et al.. (2025). Operationalizing a learning health system: A self‐assessment tool for interprofessional teams. Learning Health Systems. 9(3). e10482–e10482. 1 indexed citations

Krumm, Andrew E., et al.. (2024). Readiness of Graduating General Surgery Residents To Perform Common Pediatric Surgery Procedures. Journal of surgical education. 82(1). 103318–103318.

Krumm, Andrew E., et al.. (2024). Proximity to Practice: The Role of Technology in the Next Era of Assessment. Perspectives on Medical Education. 13(1). 646–653. 2 indexed citations

Krumm, Andrew E., Saad Chahine, Daniel J. Schumacher, et al.. (2024). Digital Evidence: Revisiting Assumptions at the Intersection of Technology and Assessment. Perspectives on Medical Education. 13(1). 553–560.

Sebok‐Syer, Stefanie S., et al.. (2024). Operative Performance and Autonomy Across Training Years: Does a Preliminary Year Matter?. Journal of surgical education. 82(1). 103297–103297.

Noyes, Sabrina L., et al.. (2024). Simplified cardiovascular index may be the best comorbidity index for clinical use in prediction of mortality for renal cancer patients. Urologic Oncology Seminars and Original Investigations. 42(3). 72.e1–72.e8.

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

Paget, Charles J., et al.. (2023). Operative experiences of preliminary versus categorical general surgery residents. Global Surgical Education - Journal of the Association for Surgical Education. 2(1). 1 indexed citations

10.

Thoma, Brent, Maxwell Spadafore, Stefanie S. Sebok‐Syer, et al.. (2023). Considering the Secondary Use of Clinical and Educational Data to Facilitate the Development of Artificial Intelligence Models. Academic Medicine. 99(Supplement_1). S77–S83. 9 indexed citations

11.

George, Brian C., et al.. (2023). Right Case, Right Time: Which Procedures Best Differentiate General Surgery Trainees’ Operative Performance?. Journal of surgical education. 80(11). 1493–1502. 2 indexed citations

12.

Chen, Xilin, et al.. (2023). Variation in Competence of Graduating General Surgery Trainees. Journal of surgical education. 81(1). 17–24.

13.

Chen, Jenny, Brian C. George, Stacey T. Gray, & Andrew E. Krumm. (2023). Predicting Resident Competence for Otolaryngology Key Indicator Procedures. The Laryngoscope. 133(12). 3341–3345. 4 indexed citations

14.

Krumm, Andrew E., et al.. (2023). An Ideal System of Assessment to Support Competency-Based Graduate Medical Education: Key Attributes and Proposed Next Steps. Journal of surgical education. 81(2). 172–177.

15.

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

16.

Penuel, William R., et al.. (2023). Belonging in science classrooms: Investigating its relation to students' contributions and influence in knowledge building. Journal of Research in Science Teaching. 61(1). 228–252. 5 indexed citations

17.

Holmstrom, Amy L., et al.. (2022). Opportunities to Increase Workplace Feedback: A Multi-institutional Examination. Journal of surgical education. 79(6). e124–e129. 3 indexed citations

18.

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

19.

George, Brian C., et al.. (2021). Feedback-Seeking Behavior and Practice Readiness for General Surgery. Journal of surgical education. 79(2). 295–301. 5 indexed citations

20.

Snow, Erica L., et al.. (2016). Quantifying How Students Use an Online Learning System: A Focus on Transitions and Performance.. Educational Data Mining. 640–641. 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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