Gregory E. Kaebnick

722 citations
88 papers · 413 · h-index 10

Impact in

Papers in

Gregory E. Kaebnick

70 papers receiving 328 citations

Peers

Gregory E. Kaebnick
Comparison fields: 5 of 97
  • Health Informatics 53
  • Cognitive Neuroscience 66
  • General Health Professions 65
  • Public Health, Environmental and Occupational Health 71
  • Reproductive Medicine 20
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Kenneth A. Richman United States
Marcus Düwell Netherlands
Lorenzo Del Savio Germany
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Citations per field
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Citations per year

Countries citing papers authored by Gregory E. Kaebnick

Since Specialization
Citations

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

Fields of papers citing papers by Gregory E. Kaebnick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201653
2 201332
3 202328
4 201426
5 202322
6 200419
7 200815
8 202112
9 199912
10 200912
11 201310
12 20179
13 20008
14 20258
15 20007
16 20237
17 20186
18 20076
19 20116
20 20185

About Gregory E. Kaebnick

Gregory E. Kaebnick is a scholar working on General Health Professions, Cognitive Neuroscience, Health Informatics, Public Health, Environmental and Occupational Health and Safety Research, having authored 88 papers that have together received 413 indexed citations. Recurring topics across this work include Ethics in medical practice (21 papers), Neuroethics, Human Enhancement, Biomedical Innovations (13 papers), Biomedical Ethics and Regulation (8 papers), Artificial Intelligence in Healthcare and Education (7 papers), Ethics and Social Impacts of AI (5 papers), Explainable Artificial Intelligence (XAI) (5 papers), Healthcare cost, quality, practices (4 papers) and Ethics in Clinical Research (4 papers). The work is most often cited by research in Health Informatics (53 citations), Cognitive Neuroscience (66 citations), General Health Professions (65 citations), Public Health, Environmental and Occupational Health (71 citations) and Reproductive Medicine (20 citations). Gregory E. Kaebnick has collaborated with scholars based in United States, Ireland and Taiwan. Frequent co-authors include Michael K. Gusmano, Thomas H. Murray, Mohammad Hosseini, Bert Gordijn, David B Resnik, Audiey C. Kao, Veljko Dubljević, David E. Winickoff, Mark J. Cherry and Jason Delborne. Their work appears in journals such as The Hastings Center Report, Metamedicine, Science, Developing World Bioethics and Health Economics Policy and Law.

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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