Dietmar Frey

4.2k citations
59 papers · 2.5k indexed · 1 hit paper · h-index 19

Impact in

    • Artificial Intelligence in Healthcare and Education
  • Neurology top 2%
    • Transcranial Magnetic Stimulation Studies

Papers in

Dietmar Frey

57 papers receiving 2.5k citations

Hit Papers

Explainability for artificial intelligence in healthcare: a multidisciplinary perspective 2020 · 925 citations
9252020202620222024250500750

Peers

Dietmar Frey
Comparison fields: 5 of 155
  • Health Informatics 546
  • Neurology 521
  • Health Information Management 159
  • Radiology, Nuclear Medicine and Imaging 751
  • Artificial Intelligence 522
Replace Vince I. Madai with:
Vince I. Madai Germany
Prabal Datta Barua Australia
Christian Salvatore Italy
Reza Forghani Canada
Enzo Ferrante Argentina
Pierre Jannin France
Richard J. Chen United States
Arunachalam Narayanaswamy United States
Vijaya B. Kolachalama United States
Suraj Kapa United States
Dietmar Frey relative to Vince I. Madai Germany Vince I. Madai's profile →
Citations per field
00.5×3.2×
Vince I. Madai · 1×
Citations per year

Countries citing papers authored by Dietmar Frey

Since Specialization
Citations

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

Fields of papers citing papers by Dietmar Frey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 202511
3 20242
4 20243
5 20242
6 20242
7 20234
8 202316
9 20236
10 202229
11 202138
12 202144
13 20215
14 2014121
15 201416
16 201396
17 2012108
18 201249
19 2011206
20 20086

About Dietmar Frey

Dietmar Frey is a scholar working on Health Informatics, Rehabilitation, Epidemiology, Neurology and Neurology, having authored 59 papers that have together received 2.5k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (20 papers), Cerebrovascular and Carotid Artery Diseases (9 papers), Stroke Rehabilitation and Recovery (7 papers), Intracranial Aneurysms: Treatment and Complications (6 papers), Transcranial Magnetic Stimulation Studies (6 papers), Artificial Intelligence in Healthcare and Education (6 papers), Machine Learning in Healthcare (5 papers) and Generative Adversarial Networks and Image Synthesis (4 papers). The work is most often cited by research in Health Informatics (546 citations), Neurology (521 citations), Health Information Management (159 citations), Radiology, Nuclear Medicine and Imaging (751 citations) and Artificial Intelligence (522 citations). Dietmar Frey has collaborated with scholars based in Germany, United Kingdom and Spain. Frequent co-authors include Vince I. Madai, Julia Amann, Alessandro Blasimme, Effy Vayena, Peter Vajkoczy, Thomas Picht, Michelle Livne, Ahmed A. Khalil, Jochen B. Fiebach and Ivana Galinović. Their work appears in journals such as Frontiers in Neurology, NeuroImage, Acta Neurochirurgica, Journal of Cerebral Blood Flow & Metabolism and Medical Image Analysis.

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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