Josef Schepers
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Electronic Health Records Systems
- Artificial Intelligence in Healthcare
Papers in
- Genetics 4
- Genomics and Rare Diseases 4
- Genetic Associations and Epidemiology 1
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- Electronic Health Records Systems 2
- Artificial Intelligence in Healthcare 1
- Co-authors
- Sylvia Thun (3 shared papers)Moritz Lehne (3 shared papers)Julian Saß (1 shared paper)Andrea Essenwanger (1 shared paper)Fabian Praßer (4 shared papers)Phillipp Schoppmann (1 shared paper)Jannik Schaaf (3 shared papers)Martin Lablans (1 shared paper)
In The Last Decade
Josef Schepers
7 papers receiving 375 citations
Peers
Comparison fields: 5 of 106
- Health Informatics 81
- Health Information Management 78
- Applied Psychology 23
- Information Systems and Management 20
- Artificial Intelligence 83
Countries citing papers authored by Josef Schepers
This map shows the geographic impact of Josef Schepers'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 Josef Schepers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Josef Schepers more than expected).
Fields of papers citing papers by Josef Schepers
This network shows the impact of papers produced by Josef Schepers. 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 Josef Schepers. The network helps show where Josef Schepers may publish in the future.
Co-authors
The 25 scholars most cited alongside Josef Schepers, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 252 | |
| 2 | 2020 | 126 | |
| 3 | 2022 | 5 | |
| 4 | 2020 | 4 | |
| 5 | 2022 | 4 | |
| 6 | Haus und Hof westfälischer Bauern | 1980 | 1 |
| 7 | 2024 | 1 | |
| 8 | 2024 | 1 | |
| 9 | Experiences from the National Demonstrator Study within the German Medical Informatics Initiative. | 2019 | 0 |
About Josef Schepers
Josef Schepers is a scholar working on Genetics, Health Information Management, Artificial Intelligence, Computer Networks and Communications and Molecular Biology, having authored 9 papers that have together received 394 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (4 papers), Electronic Health Records Systems (2 papers), Cryptography and Data Security (2 papers), Cancer Genomics and Diagnostics (1 paper), Genetic Associations and Epidemiology (1 paper), Artificial Intelligence in Healthcare (1 paper), Distributed systems and fault tolerance (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Health Informatics (81 citations), Health Information Management (78 citations), Applied Psychology (23 citations), Information Systems and Management (20 citations) and Artificial Intelligence (83 citations). Josef Schepers has collaborated with scholars based in Germany and Denmark. Frequent co-authors include Sylvia Thun, Moritz Lehne, Julian Saß, Andrea Essenwanger, Fabian Praßer, Phillipp Schoppmann, Jannik Schaaf, Martin Lablans, Julia L. Fleck and Kay Hamacher. Their work appears in journals such as Journal of Translational Medicine, Orphanet Journal of Rare Diseases, npj Digital Medicine, Digital Health and Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz.
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.