Andrew E. Krumm

44 papers receiving 759 citations

Andrew E. Krumm's Hit Papers

External Validation of a Widely Implemented Proprietary Sepsis Prediction Model in Hospitalized Patients 2021 · 431 citations
4310+1+3Years since publication100200300400

Peers

Andrew E. Krumm
Comparison fields: 5 of 111
  • Health Informatics 207
  • Family Practice 63
  • Computer Science Applications 119
  • Health Information Management 59
  • Artificial Intelligence 197
Replace Shaikat Mondal with:
Shaikat Mondal India
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David Chartash United States
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Aidan Gilson United States
Thomas Huang United States
Khalil Kimiafar Iran
Tracie Risling Canada
Masoumeh Sarbaz Iran
André De Champlain Canada
Andrew E. Krumm relative to Shaikat Mondal India Shaikat Mondal's profile →
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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-authors

The 25 scholars most cited alongside Andrew E. Krumm, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Andrew E. Krumm Line = papers co-authored together Andrew E. Krumm links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1
External Validation of a Widely Implemented Proprietary Sepsis Prediction Model in Hospitalized Patients
Hit paper breakdown →
2021431
2 201062
3 202146
4 201230
5 202321
6 201821
7
Learning Analytics Goes to School : A Collaborative Approach to Improving Education
201815
8 201314
9 201612
10 202310
11 20239
12 20218
13 20168
14 20217
15 20217
16 20236
17 20225
18 20215
19 20235
20 20225

About Andrew E. Krumm

Andrew E. Krumm is a scholar working on Public Health, Environmental and Occupational Health, Surgery, Education, Cardiology and Cardiovascular Medicine and Computer Science Applications, having authored 55 papers that have together received 787 indexed citations. Recurring topics across this work include Innovations in Medical Education (24 papers), Surgical Simulation and Training (21 papers), Cardiac, Anesthesia and Surgical Outcomes (15 papers), Online Learning and Analytics (10 papers), Online and Blended Learning (9 papers), Diversity and Career in Medicine (7 papers), Radiology practices and education (7 papers) and Educational Assessment and Improvement (6 papers). The work is most often cited by research in Health Informatics (207 citations), Family Practice (63 citations), Computer Science Applications (119 citations), Health Information Management (59 citations) and Artificial Intelligence (197 citations). Andrew E. Krumm has collaborated with scholars based in United States, Canada and Norway. Frequent co-authors include Erkin Ötleş, John P. Donnelly, Muhammad Ghous, Andrew Wong, M. Phillips, Jeffrey S. McCullough, Karandeep Singh, Steven Lonn, Stephanie D. Teasley and Brian C. George. Their work appears in journals such as Journal of surgical education, Journal of Learning Analytics, Academic Medicine, Perspectives on Medical Education and Leadership and Policy in Schools.

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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