Robert Ranisch

33 papers receiving 431 citations

Hit Papers

The ethics of ChatGPT in medicine and healthcare: a systematic review on Large Language Models (LLMs) 2024 · 119 citations
1190+1Years since publication255075100

Peers

Robert Ranisch
Comparison fields: 5 of 107
  • Health Informatics 122
  • Business and International Management 12
  • Family Practice 10
  • Applied Psychology 18
  • Cognitive Neuroscience 64
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Ran Ren China
Jennifer Blumenthal‐Barby United States
Mark Yarborough United States
Íñigo de Miguel Beriaín Spain
Giovanni Rubeis Germany
María José Rementeria Spain
Jon Rueda Spain
Donrich Thaldar South Africa
Vincent Couture Canada
Susanne Gaube Germany
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Countries citing papers authored by Robert Ranisch

Since Specialization
Citations

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

Fields of papers citing papers by Robert Ranisch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The ethics of ChatGPT in medicine and healthcare: a systematic review on Large Language Models (LLMs)
Hit paper breakdown →
2024119
2 202036
3 201934
4 202233
5 202328
6 202028
7 201527
8 202326
9 202215
10 202514
11 202111
12 202210
13 20227
14
Post- and Transhumanism : an introduction
20147
15 20247
16 20205
17 20234
18 20254
19 20233
20 20243

About Robert Ranisch

Robert Ranisch is a scholar working on Cognitive Neuroscience, General Health Professions, Public Health, Environmental and Occupational Health, Health Informatics and Physiology, having authored 37 papers that have together received 446 indexed citations. Recurring topics across this work include Neuroethics, Human Enhancement, Biomedical Innovations (10 papers), Artificial Intelligence in Healthcare and Education (7 papers), Biomedical Ethics and Regulation (6 papers), CRISPR and Genetic Engineering (5 papers), Digital Mental Health Interventions (5 papers), Mobile Health and mHealth Applications (3 papers), Ethics and Social Impacts of AI (3 papers) and Healthcare cost, quality, practices (3 papers). The work is most often cited by research in Health Informatics (122 citations), Business and International Management (12 citations), Family Practice (10 citations), Applied Psychology (18 citations) and Cognitive Neuroscience (64 citations). Robert Ranisch has collaborated with scholars based in Germany, United Kingdom and Singapore. Frequent co-authors include Joschka Haltaufderheide, Stefan Lorenz Sorgner, Mara Almeida, Hans‐Jörg Ehni, Urban Wiesing, Veljko Dubljević, Regina Müller, Heiner Fangerau, Alena Buyx and Jan-Steffen Krüssel. Their work appears in journals such as Medicine Health Care and Philosophy, Ethics and Information Technology, Bioethics, NanoEthics and The CRISPR Journal.

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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