David E. Avrin

815 citations
49 papers · 666 · h-index 13

Impact in

Papers in

David E. Avrin

49 papers receiving 640 citations

Peers

David E. Avrin
Comparison fields: 5 of 80
  • Internal Medicine 124
  • Radiology, Nuclear Medicine and Imaging 255
  • Health Informatics 14
  • Emergency Medical Services 42
  • Health Information Management 27
Replace Lawrence A. Liebscher with:
Lawrence A. Liebscher United States
Richard Graham United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by David E. Avrin

Since Specialization
Citations

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

Fields of papers citing papers by David E. Avrin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David E. Avrin. 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 David E. Avrin. The network helps show where David E. Avrin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011151
2 197860
3 200059
4 201234
5 200132
6 201126
7 200120
8 201419
9 200519
10 199815
11 200515
12 199415
13 199813
14 200012
15 200612
16 200111
17 200610
18 201710
19 20009
20 20189

About David E. Avrin

David E. Avrin is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Health Information Management, Computer Networks and Communications and Information Systems and Management, having authored 49 papers that have together received 666 indexed citations. Recurring topics across this work include Radiology practices and education (24 papers), Digital Radiography and Breast Imaging (19 papers), Radiation Dose and Imaging (11 papers), Distributed and Parallel Computing Systems (6 papers), AI in cancer detection (5 papers), Advanced X-ray and CT Imaging (4 papers), Scientific Computing and Data Management (3 papers) and Electronic Health Records Systems (3 papers). The work is most often cited by research in Internal Medicine (124 citations), Radiology, Nuclear Medicine and Imaging (255 citations), Health Informatics (14 citations), Emergency Medical Services (42 citations) and Health Information Management (27 citations). David E. Avrin has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Ronald L. Arenson, Katherine P. Andriole, Robert G. Gould, Roy L. Gordon, Antonio C. Westphalen, Robert K. Kerlan, Jeremy C. Durack, Albert Macovski, Leslie M. Zatz and Aliya Qayyum. Their work appears in journals such as Journal of Imaging Informatics in Medicine, Academic Radiology, Radiographics, Journal of the American College of Radiology and American Journal of Roentgenology.

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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