Stan Benjamens

34 papers receiving 996 citations

Stan Benjamens's Hit Papers

The state of artificial intelligence-based FDA-approved medical devices and algorithms: an online database 2020 · 687 citations
6870+2+4Years since publication200400600

Peers

Stan Benjamens
Comparison fields: 5 of 108
  • Health Informatics 372
  • Transplantation 62
  • Health Information Management 55
  • Radiology, Nuclear Medicine and Imaging 226
  • Nephrology 50
Replace Armando Bedoya with:
Armando Bedoya United States
Danton Char United States
Supawadee Suppadungsuk Thailand
Atheer Aldairem Saudi Arabia
Oscar A. Garcia Valencia United States
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Stan Benjamens relative to Armando Bedoya United States Armando Bedoya's profile →
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Countries citing papers authored by Stan Benjamens

Since Specialization
Citations

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

Fields of papers citing papers by Stan Benjamens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The state of artificial intelligence-based FDA-approved medical devices and algorithms: an online database
Hit paper breakdown →
2020687
2 202155
3 202032
4 202025
5 201724
6 202019
7 201819
8 201819
9 202017
10 201714
11 201814
12 202013
13 202112
14 20218
15 20217
16 20206
17 20206
18 20216
19 20215
20 20205

About Stan Benjamens

Stan Benjamens is a scholar working on Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health, Transplantation, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 35 papers that have together received 1.0k indexed citations. Recurring topics across this work include Renal and Vascular Pathologies (10 papers), Renal Transplantation Outcomes and Treatments (7 papers), Organ Donation and Transplantation (5 papers), Parathyroid Disorders and Treatments (3 papers), Diversity and Career in Medicine (3 papers), Organ Transplantation Techniques and Outcomes (3 papers), Cardiac Imaging and Diagnostics (2 papers) and Patient Satisfaction in Healthcare (2 papers). The work is most often cited by research in Health Informatics (372 citations), Transplantation (62 citations), Health Information Management (55 citations), Radiology, Nuclear Medicine and Imaging (226 citations) and Nephrology (50 citations). Stan Benjamens has collaborated with scholars based in Netherlands, United Kingdom and Spain. Frequent co-authors include Pranavsingh Dhunnoo, Bertalan Meskó, Robert A. Pol, Louise B.D. Banning, Riemer H. J. A. Slart, Stefan P. Berger, Stephan J. L. Bakker, Willemijn Y. van der Plas, Schelto Kruijff and Andor W.J.M. Glaudemans. Their work appears in journals such as Transplantation, Transplant International, Pancreatology, Scientometrics and Transplantation Reviews.

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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