Bertalan Meskó

6.0k citations
50 papers · 3.4k · 4 hit papers · h-index 23

Impact in

Papers in

Bertalan Meskó

47 papers receiving 3.3k citations

Hit Papers

The imperative for regulatory oversight of large language models (or generative AI) in healthcare 2023 · 519 citations
5190+3+6Years since publication200400600

Peers

Bertalan Meskó
Comparison fields: 5 of 178
  • Health Informatics 1.5k
  • Health Information Management 283
  • Family Practice 97
  • Radiology, Nuclear Medicine and Imaging 742
  • Artificial Intelligence 865
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Countries citing papers authored by Bertalan Meskó

Since Specialization
Citations

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

Fields of papers citing papers by Bertalan Meskó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 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 →
2020650
2
The imperative for regulatory oversight of large language models (or generative AI) in healthcare
Hit paper breakdown →
2023519
3
Digital health is a cultural transformation of traditional healthcare
Hit paper breakdown →
2017369
4
Prompt Engineering as an Important Emerging Skill for Medical Professionals: Tutorial
Hit paper breakdown →
2023328
5 2020215
6 2018198
7 2011155
8 2017154
9 201095
10 202389
11 201975
12 202366
13 201559
14 202044
15 200842
16 201137
17 202236
18 201134
19 201330
20 202230

About Bertalan Meskó

Bertalan Meskó is a scholar working on Health Informatics, General Health Professions, Health, Public Health, Environmental and Occupational Health and Radiology, Nuclear Medicine and Imaging, having authored 50 papers that have together received 3.4k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (18 papers), Social Media in Health Education (11 papers), COVID-19 diagnosis using AI (6 papers), Telemedicine and Telehealth Implementation (6 papers), Empathy and Medical Education (5 papers), Health Literacy and Information Accessibility (4 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Mobile Health and mHealth Applications (4 papers). The work is most often cited by research in Health Informatics (1.5k citations), Health Information Management (283 citations), Family Practice (97 citations), Radiology, Nuclear Medicine and Imaging (742 citations) and Artificial Intelligence (865 citations). Bertalan Meskó has collaborated with scholars based in Hungary, United States and United Kingdom. Frequent co-authors include Eric J. Topol, Pranavsingh Dhunnoo, Stan Benjamens, Zsófia D. Drobni, Gergely Hetényi, Zsuzsa Győrffy, László Nagy, Szilárd Póliska, Zoltán Szekanecz and Janós Kollár. Their work appears in journals such as Journal of Medical Internet Research, npj Digital Medicine, European Heart Journal, Respiration and New Biotechnology.

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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