Benjamin R. Kummer

1.4k citations
53 papers · 944 · 2 hit papers · h-index 16

Impact in

    • Artificial Intelligence in Healthcare and Education
  • Neurology top 5%
    • Long-Term Effects of COVID-19
    • Parkinson's Disease Mechanisms and Treatments

Papers in

Benjamin R. Kummer

44 papers receiving 906 citations

Benjamin R. Kummer's Hit Papers

Sociodemographic biases in medical decision making by large language models 2025 · 74 citations
740+1+2Years since publication4080120

Peers

Benjamin R. Kummer
Comparison fields: 5 of 68
  • Health Informatics 98
  • Neurology 211
  • Cardiology and Cardiovascular Medicine 201
  • Epidemiology 229
  • Infectious Diseases 121
Replace Lester Y. Leung with:
Lester Y. Leung United States
Omid Halse United Kingdom
Andre D. Kumar United States
Laura Katherine Stein United States
Shraddha Mainali United States
Jose Maria Trejo-Gabriel-Galan Spain
Mill Etienne United States
Caitlin Ann Selvaggi United States
Marika Mae Cusick United States
Marta Olivé‐Gadea Spain
Benjamin R. Kummer relative to Lester Y. Leung United States Lester Y. Leung's profile →
Citations per field
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Lester Y. Leung · 1×
Citations per year

Countries citing papers authored by Benjamin R. Kummer

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin R. Kummer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin R. Kummer. 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 Benjamin R. Kummer. The network helps show where Benjamin R. Kummer may publish in the future.

Co-authors

The 25 scholars most cited alongside Benjamin R. Kummer, 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 Benjamin R. Kummer Line = papers co-authored together Benjamin R. Kummer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Self-expanding Transcatheter vs Surgical Aortic Valve Replacement in Intermediate-Risk Patients
Hit paper breakdown →
2022126
2 201984
3 202078
4
Sociodemographic biases in medical decision making by large language models
Hit paper breakdown →
202574
5 202072
6 202068
7 201843
8 201542
9 202134
10 202028
11 201927
12 201726
13 202426
14 201925
15 201621
16 201816
17 201816
18 202114
19 201812
20 201711

About Benjamin R. Kummer

Benjamin R. Kummer is a scholar working on Health Information Management, Epidemiology, Health Informatics, Neurology and Psychiatry and Mental health, having authored 53 papers that have together received 944 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (16 papers), Machine Learning in Healthcare (7 papers), Telemedicine and Telehealth Implementation (6 papers), Artificial Intelligence in Healthcare and Education (5 papers), Artificial Intelligence in Healthcare (4 papers), Healthcare Systems and Technology (4 papers), Epilepsy research and treatment (4 papers) and Electronic Health Records Systems (4 papers). The work is most often cited by research in Health Informatics (98 citations), Neurology (211 citations), Cardiology and Cardiovascular Medicine (201 citations), Epidemiology (229 citations) and Infectious Diseases (121 citations). Benjamin R. Kummer has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Hooman Kamel, Babak Benjamin Navi, Gino Gialdini, Alexander Eliot Merkler, Eyal Klang, Laura Katherine Stein, Mandip S. Dhamoon, Costantino Iadecola, Ivan Matos Diaz and Nathalie Jetté. Their work appears in journals such as Journal of Stroke and Cerebrovascular Diseases, Stroke, Epilepsia, Neurology and Telemedicine Journal and e-Health.

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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