Stefan Schulz

180 papers receiving 2.2k citations

Stefan Schulz's Hit Papers

Proceedings of the AMIA Symposium 2005 · 506 citations
5060+7+14Years since publication100200300400500

Peers

Stefan Schulz
Comparison fields: 5 of 149
  • Health Information Management 233
  • Health Informatics 48
  • Artificial Intelligence 1.1k
  • Molecular Biology 1.2k
  • Medical Terminology 4
Replace Philip V. Ogren with:
Philip V. Ogren United States
Hercules Dalianis Sweden
Alan R. Aronson United States
Thomas C. Rindflesch United States
Stuart J. Nelson United States
D. A. B. Lindberg United States
Kevin Bretonnel Cohen United States
Angus Roberts United Kingdom
Stéfan Darmoni France
Guergana Savova United States
Stefan Schulz relative to Philip V. Ogren United States Philip V. Ogren's profile →
Citations per field
00.5×1.5×1.9×
Philip V. Ogren · 1×
Citations per year

Countries citing papers authored by Stefan Schulz

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 188 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Proceedings of the AMIA Symposium
Hit paper breakdown →
2005506
2 200871
3 200171
4 200853
5 201946
6 202045
7 202142
8
Gene Regulation Ontology (GRO): design principles and use cases.
200840
9 200539
10 199938
11 200137
12
SNOMED CT's problem list: ontologists' and logicians' therapy suggestions.
200734
13 201133
14 200633
15 201533
16 200927
17 201126
18 201425
19 201423
20 200822

About Stefan Schulz

Stefan Schulz is a scholar working on Molecular Biology, Artificial Intelligence, Language and Linguistics, Health Information Management and Public Health, Environmental and Occupational Health, having authored 188 papers that have together received 2.3k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (149 papers), Semantic Web and Ontologies (87 papers), Natural Language Processing Techniques (41 papers), linguistics and terminology studies (23 papers), Topic Modeling (15 papers), Electronic Health Records Systems (14 papers), Bioinformatics and Genomic Networks (13 papers) and Medical Coding and Health Information (9 papers). The work is most often cited by research in Health Information Management (233 citations), Health Informatics (48 citations), Artificial Intelligence (1.1k citations), Molecular Biology (1.2k citations) and Medical Terminology (4 citations). Stefan Schulz has collaborated with scholars based in Germany, Austria and United Kingdom. Frequent co-authors include Udo Hahn, Philipp Daumke, Barry Smith, Martin Boeker, Markus Kreuzthaler, Martin Romacker, Holger Stenzhorn, Elena Beißwanger, Boontawee Suntisrivaraporn and Franz Baader. Their work appears in journals such as BMC Medical Informatics and Decision Making, Methods of Information in Medicine, Journal of Biomedical Semantics, Applied Ontology and Journal of Biomedical Informatics.

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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