Stephen Gilbert
Impact in
- Health Informatics top 0.2%
- Artificial Intelligence in Healthcare and Education
- Family Practice top 5%
Papers in ⓘ
-
- Artificial Intelligence in Healthcare and Education 26
- Co-authors
- Paul Wicks (9 shared papers)Arun V. Holden (8 shared papers)Alan P. Benson (8 shared papers)Jakob Nikolas Kather (10 shared papers)Tom Melvin (6 shared papers)Hugh Harvey (2 shared papers)Olivier Bernus (11 shared papers)F S Fay (1 shared paper)
- Journals
- npj Digital Medicine (25 papers)Journal of Medical Internet Research (5 papers)Nature Medicine (3 papers)JMIR mhealth and uhealth (2 papers)BMJ Open (2 papers)
- Partner nations
- GermanyUnited KingdomFrance
In The Last Decade
Stephen Gilbert
94 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 156
- Health Informatics 355
- Family Practice 65
- Health Information Management 97
- Medical Laboratory Technology 26
- Applied Psychology 84
Countries citing papers authored by Stephen Gilbert
This map shows the geographic impact of Stephen Gilbert'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 Stephen Gilbert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Gilbert more than expected).
Fields of papers citing papers by Stephen Gilbert
This network shows the impact of papers produced by Stephen Gilbert. 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 Stephen Gilbert. The network helps show where Stephen Gilbert may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Gilbert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 112 | |
| 2 | 2020 | 95 | |
| 3 | 2012 | 84 | |
| 4 | 2007 | 82 | |
| 5 | 2020 | 75 | |
| 6 | 2011 | 59 | |
| 7 | 1994 | 59 | |
| 8 | 2024 | 52 | |
| 9 | 2013 | 47 | |
| 10 | 2021 | 38 | |
| 11 | 2024 | 37 | |
| 12 | 2024 | 35 | |
| 13 | 2015 | 34 | |
| 14 | 2018 | 33 | |
| 15 | 2015 | 33 | |
| 16 | 2023 | 33 | |
| 17 | 2015 | 31 | |
| 18 | 2023 | 27 | |
| 19 | 2010 | 26 | |
| 20 | 2022 | 25 |
About Stephen Gilbert
Stephen Gilbert is a scholar working on Health Informatics, Medical Laboratory Technology, Family Practice, Applied Psychology and Health Information Management, having authored 101 papers that have together received 1.5k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (26 papers), Mobile Health and mHealth Applications (11 papers), Digital Mental Health Interventions (9 papers), Advanced MRI Techniques and Applications (9 papers), Telemedicine and Telehealth Implementation (8 papers), Ethics in Clinical Research (8 papers), Cardiovascular Function and Risk Factors (8 papers) and Biomedical and Engineering Education (8 papers). The work is most often cited by research in Health Informatics (355 citations), Family Practice (65 citations), Health Information Management (97 citations), Medical Laboratory Technology (26 citations) and Applied Psychology (84 citations). Stephen Gilbert has collaborated with scholars based in Germany, United Kingdom and France. Frequent co-authors include Paul Wicks, Arun V. Holden, Alan P. Benson, Jakob Nikolas Kather, Tom Melvin, Hugh Harvey, Olivier Bernus, F S Fay, Katie J. Perry and Isabella C. Wiest. Their work appears in journals such as npj Digital Medicine, Journal of Medical Internet Research, Nature Medicine, JMIR mhealth and uhealth and BMJ Open.
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.