Lee B. Lusted

3.4k citations
57 papers · 2.3k · 2 hit papers · h-index 16

Impact in

Papers in

Lee B. Lusted

51 papers receiving 2.0k citations

Lee B. Lusted's Hit Papers

Introduction to Medical Decision Making. 1969 · 337 citations
3370+22+44Years since publication200400600

Peers

Lee B. Lusted
Comparison fields: 5 of 182
  • Family Practice 170
  • Health Information Management 258
  • Health Informatics 62
  • Statistics, Probability and Uncertainty 193
  • General Decision Sciences 40
Replace Robert S. Ledley with:
Robert S. Ledley United States
Donald D. Dorfman United States
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Lee B. Lusted relative to Robert S. Ledley United States Robert S. Ledley's profile →
Citations per field
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Citations per year

Countries citing papers authored by Lee B. Lusted

Since Specialization
Citations

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

Fields of papers citing papers by Lee B. Lusted

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lee B. Lusted. 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 Lee B. Lusted. The network helps show where Lee B. Lusted may publish in the future.

Co-authors

The 20 scholars most cited alongside Lee B. Lusted, 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 Lee B. Lusted Line = papers co-authored together Lee B. Lusted links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Reasoning Foundations of Medical Diagnosis
Hit paper breakdown →
1959622
2
Introduction to Medical Decision Making.
Hit paper breakdown →
1969337
3 1971219
4 1971192
5 1974157
6 1975149
7 1960106
8 198576
9 197843
10 197237
11 196630
12 195930
13 196028
14 197627
15 195522
16 198416
17 197514
18 196914
19 197613
20 198413

About Lee B. Lusted

Lee B. Lusted is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Biomedical Engineering, Surgery and Molecular Biology, having authored 57 papers that have together received 2.3k indexed citations. Recurring topics across this work include Machine Learning in Healthcare (5 papers), Radiology practices and education (4 papers), Medical Imaging Techniques and Applications (4 papers), Advanced Sensor Technologies Research (3 papers), Biomedical Text Mining and Ontologies (3 papers), Topic Modeling (3 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Healthcare cost, quality, practices (2 papers). The work is most often cited by research in Family Practice (170 citations), Health Information Management (258 citations), Health Informatics (62 citations), Statistics, Probability and Uncertainty (193 citations) and General Decision Sciences (40 citations). Lee B. Lusted has collaborated with scholars based in United States, Netherlands and South Africa. Frequent co-authors include Robert S. Ledley, David J. Goodenough, Kurt Rossmann, Stuart J. Starr, Charles E. Metz, Arch W. Templeton, Gwilym S. Lodwick, James R. Jude, Robert R. Smith and Donald E. Pickering. Their work appears in journals such as Radiology, Science, Medical Decision Making, New England Journal of Medicine and Annals of Internal Medicine.

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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