Josef Schepers

783 citations
14 papers · 468 · h-index 5

Impact in

Papers in

    • Genomics and Rare Diseases 4
    • Digestive system and related health 1
    • Biomedical Text Mining and Ontologies 3

Josef Schepers

12 papers receiving 447 citations

Peers

Josef Schepers
Comparison fields: 5 of 107
  • Health Informatics 81
  • Health Information Management 74
  • Applied Psychology 16
  • Information Systems and Management 17
  • Radiology, Nuclear Medicine and Imaging 48
Replace Julian Saß with:
Julian Saß Germany
Andrea Essenwanger Germany
Frank J. Manion United States
Duane Bender Canada
Bastien Rance France
Evert-Ben van Veen Netherlands
David Kreda United States
Jerry Sheehan United States
Mehdi Benchoufi France
Josef Schepers relative to Julian Saß Germany Julian Saß's profile →
Citations per field
00.5×1.5×
Julian Saß · 1×
Citations per year

Countries citing papers authored by Josef Schepers

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Josef Schepers Line = papers co-authored together Josef Schepers links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2019299
2 2020141
3 20217
4 20225
5 20225
6 20204
7
Experiences from the National Demonstrator Study within the German Medical Informatics Initiative.
20191
8
Haus und Hof westfälischer Bauern
19801
9 20241
10 20241
11 20161
12 20131
13 20141
14 20160

About Josef Schepers

Josef Schepers is a scholar working on Genetics, Molecular Biology, Health Information Management, General Health Professions and Artificial Intelligence, having authored 14 papers that have together received 468 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (4 papers), Electronic Health Records Systems (3 papers), Biomedical Text Mining and Ontologies (3 papers), Health and Medical Studies (2 papers), Medical Practices and Rehabilitation (1 paper), Artificial Intelligence in Healthcare (1 paper), Cancer Genomics and Diagnostics (1 paper) and Digestive system and related health (1 paper). The work is most often cited by research in Health Informatics (81 citations), Health Information Management (74 citations), Applied Psychology (16 citations), Information Systems and Management (17 citations) and Radiology, Nuclear Medicine and Imaging (48 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, Jannik Schaaf, Julia L. Fleck, Phillipp Schoppmann, Sebastian C. Semler and Björn Scheuermann. Their work appears in journals such as Journal of Translational Medicine, Digital Health, npj Digital Medicine, Orphanet Journal of Rare Diseases 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.

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