Stefan Schulz
Impact in
-
- Electronic Health Records Systems
- Artificial Intelligence top 2%
- Semantic Web and Ontologies
- Natural Language Processing Techniques
- Topic Modeling
Papers in
-
- Semantic Web and Ontologies 39
- Natural Language Processing Techniques 28
- Topic Modeling 17
- Machine Learning in Healthcare 4
- Advanced Text Analysis Techniques 3
- Co-authors
- Udo HahnMartin RomackerHolger StenzhornMartin BoekerCatalina Martínez-CostaBarry SmithPercy NohamaDaniel Schober
- Journals
- International Journal of Medical Informatics (3 papers)Artificial Intelligence in Medicine (2 papers)Language Resources and Evaluation (2 papers)Semantic Web (1 paper)Journal of Medical Systems (1 paper)
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
Stefan Schulz
60 papers receiving 521 citations
Peers
Comparison fields: 5 of 74
- Health Information Management 72
- Artificial Intelligence 475
- Health Informatics 13
- Molecular Biology 400
- Language and Linguistics 41
Countries citing papers authored by Stefan Schulz
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | KOSonto: An ontology for knowledge organization systems, their constituents, and their referents | 2024 | 2 |
| 2 | 2021 | 3 | |
| 3 | Representing Literary Characters and their Attributes in an Ontology. | 2019 | 0 |
| 4 | 2017 | 11 | |
| 5 | Pizza & Wine: The Need for Educational Tools for Foundational Ontologies. | 2017 | 2 |
| 6 | Measuring the Effect of a Guideline-based Training on Ontology Design with a Competency Questions based Evaluation Approach | 2013 | 1 |
| 7 | Creation and use of Language Resources in a Question-Answering eHealth System | 2012 | 3 |
| 8 | Information Models and Ontologies for Representing the Electronic Health Record. | 2011 | 3 |
| 9 | Developing DCO: The DebugIT core ontology for antibiotics resistence modelling. | 2010 | 1 |
| 10 | 2009 | 57 | |
| 11 | Design of an Ontology on Cerebral Aneurysms: Representing the Conceptual Space of the @neurIST Project | 2007 | 2 |
| 12 | 2006 | 6 | |
| 13 | Unsupervised multilingual word sense disambiguation via an interlingua | 2005 | 7 |
| 14 | Representing natural kinds by spatial inclusion and containment | 2004 | 5 |
| 15 | Towards Very Large Ontologies for Medical Language Processing | 2002 | 1 |
| 16 | 2002 | 6 | |
| 17 | Knowledge Engineering by Large-Scale Knowledge Reuse - Experience from the Medical Domain. | 2000 | 12 |
| 18 | 2000 | 23 | |
| 19 | Automatic Import and Manual Refinement of Medical Knowledge | 1999 | 1 |
| 20 | Partonomic reasoning as taxonomic reasoning in medicine | 1999 | 25 |
About Stefan Schulz
Stefan Schulz is a scholar working on Artificial Intelligence, Health Informatics, Health Information Management, Molecular Biology and Software, having authored 66 papers that have together received 595 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (41 papers), Semantic Web and Ontologies (39 papers), Natural Language Processing Techniques (28 papers), Topic Modeling (17 papers), Service-Oriented Architecture and Web Services (11 papers), Machine Learning in Healthcare (4 papers), Business Process Modeling and Analysis (3 papers) and Advanced Text Analysis Techniques (3 papers). The work is most often cited by research in Health Information Management (72 citations), Artificial Intelligence (475 citations), Health Informatics (13 citations), Molecular Biology (400 citations) and Language and Linguistics (41 citations). Stefan Schulz has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Udo Hahn, Martin Romacker, Holger Stenzhorn, Martin Boeker, Catalina Martínez-Costa, Barry Smith, Percy Nohama, Daniel Schober, Daniel Karlsson and Ilinca Tudose. Their work appears in journals such as International Journal of Medical Informatics, Artificial Intelligence in Medicine, Language Resources and Evaluation, Semantic Web and Journal of Medical Systems.
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.