Andrew E. Krumm

54 papers receiving 1.1k citations

Andrew E. Krumm's Hit Papers

External Validation of a Widely Implemented Proprietary Sepsis Prediction Model in Hospitalized Patients 2021 · 595 citations
5950+1+3Years since publication100200300400500

Peers

Andrew E. Krumm
Comparison fields: 5 of 109
  • Health Informatics 242
  • Computer Science Applications 209
  • Family Practice 55
  • Health Information Management 62
  • Education 203
Replace Jan Peter Ehlers with:
Jan Peter Ehlers Germany
Shaikat Mondal India
Marc M. Triola United States
Tiffany H. Kung United States
Heiko Spallek United States
Stathis Th Konstantinidis United Kingdom
David Chartash United States
Vimig Socrates United States
Aidan Gilson United States
Benita M. Cox United Kingdom
Andrew E. Krumm relative to Jan Peter Ehlers Germany Jan Peter Ehlers's profile →
Citations per field
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Citations per year

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 60 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 →
2021595
2 201488
3 201074
4 202153
5 201236
6 202330
7 201825
8 201316
9 201615
10 202110
11 202310
12 20169
13 20239
14 20239
15 20219
16 20239
17 20227
18 20216
19 20236
20
Increasing Academic Success in Undergraduate Engineering Education using Learning Analytics: A Design-Based Research Project
20126

About Andrew E. Krumm

Andrew E. Krumm is a scholar working on Computer Science Applications, Information Systems and Management, Education, Public Health, Environmental and Occupational Health and Surgery, having authored 60 papers that have together received 1.1k indexed citations. Recurring topics across this work include Surgical Simulation and Training (17 papers), Innovations in Medical Education (12 papers), Online Learning and Analytics (12 papers), Online and Blended Learning (9 papers), Educational Assessment and Improvement (7 papers), Innovative Teaching and Learning Methods (6 papers), Radiology practices and education (5 papers) and Clinical Reasoning and Diagnostic Skills (4 papers). The work is most often cited by research in Health Informatics (242 citations), Computer Science Applications (209 citations), Family Practice (55 citations), Health Information Management (62 citations) and Education (203 citations). Andrew E. Krumm has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Steven Lonn, Stephanie D. Teasley, Erkin Ötleş, Andrew Hoi‐Tao Wong, John Paul Donnelly, Marie Phillips, Muhammad Arslan Ghous, Jeffrey Scott McCullough, Karandeep Singh and Richard Joseph Waddington. Their work appears in journals such as Journal of surgical education, Academic Medicine, Journal of Learning Analytics, Learning Health Systems 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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