Maxwell Spadafore

651 citations
9 papers · 192 · 1 hit paper · h-index 4

Impact in

Papers in

Maxwell Spadafore

9 papers receiving 189 citations

Maxwell Spadafore's Hit Papers

A scoping review of artificial intelligence in medical education: BEME Guide No. 84 2024 · 142 citations
1420+1Years since publication4080120

Peers

Maxwell Spadafore
Comparison fields: 5 of 45
  • Health Informatics 122
  • Family Practice 42
  • Radiology, Nuclear Medicine and Imaging 60
  • Public Health, Environmental and Occupational Health 62
  • Health Information Management 9
Replace Kota Sakaguchi with:
Kota Sakaguchi Japan
Philip Rothschild Australia
Graham Cole United Kingdom
Cesar A. Gomez-Cabello United States
Sophia M. Pressman United States
Ignacio Villagrán Chile
Gabriel Escalona Chile
Kostis Giannakopoulos Cyprus
Dev Dash United States
Cristián Jarry Chile
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Countries citing papers authored by Maxwell Spadafore

Since Specialization
Citations

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

Fields of papers citing papers by Maxwell Spadafore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1
A scoping review of artificial intelligence in medical education: BEME Guide No. 84
Hit paper breakdown →
2024142
2 201618
3 202414
4 20239
5 20233
6 20192
7 20152
8 20171
9 20241

About Maxwell Spadafore

Maxwell Spadafore is a scholar working on Family Practice, Public Health, Environmental and Occupational Health, Cardiology and Cardiovascular Medicine, Health Informatics and Radiology, Nuclear Medicine and Imaging, having authored 9 papers that have together received 192 indexed citations. Recurring topics across this work include Clinical Reasoning and Diagnostic Skills (5 papers), Innovations in Medical Education (5 papers), Heart Rate Variability and Autonomic Control (2 papers), Non-Invasive Vital Sign Monitoring (2 papers), Simulation-Based Education in Healthcare (2 papers), Medical Education and Admissions (2 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Radiology practices and education (2 papers). The work is most often cited by research in Health Informatics (122 citations), Family Practice (42 citations), Radiology, Nuclear Medicine and Imaging (60 citations), Public Health, Environmental and Occupational Health (62 citations) and Health Information Management (9 citations). Maxwell Spadafore has collaborated with scholars based in United States, Canada and Taiwan. Frequent co-authors include Michelle Daniel, Morris Gordon, Mary R. Haas, Janet Corral, Nicole Y. Xu, Diana Dolmans, Aderonke Ajiboye, Satid Thammasitboon, Hussein Uraiby and Ciaran Grafton‐Clarke. Their work appears in journals such as Academic Medicine, Biological Research For Nursing, AEM Education and Training, Medical Teacher and PLoS ONE.

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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