S Schulz
Impact in
- Pathology and Forensic Medicine top 10%
- Systemic Sclerosis and Related Diseases
- Rheumatology top 10%
- Systemic Lupus Erythematosus Research
Papers in
-
- Biomedical Text Mining and Ontologies 7
-
- Semantic Web and Ontologies 5
- Natural Language Processing Techniques 5
- Co-authors
- Udo Hahn (4 shared papers)Chris T. Derk (5 shared papers)Ludger Jansen (1 shared paper)Martin Romacker (2 shared papers)Elizabeth Grace (2 shared papers)Ingvar Johansson (1 shared paper)Sergio A. Jiménez (2 shared papers)Catalina Martínez-Costa (1 shared paper)
- Journals
- Lara D. Veeken (2 papers)Journal of the American Medical Informatics Association (1 paper)Seminars in Arthritis and Rheumatism (1 paper)Current Medicinal Chemistry (1 paper)The Monist (1 paper)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
S Schulz
19 papers receiving 429 citations
Peers
Comparison fields: 5 of 67
- Pathology and Forensic Medicine 113
- Rheumatology 76
- Health Information Management 19
- Artificial Intelligence 138
- Gastroenterology 18
Countries citing papers authored by S Schulz
This map shows the geographic impact of S 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 S Schulz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Schulz more than expected).
Fields of papers citing papers by S Schulz
This network shows the impact of papers produced by S 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 S Schulz. The network helps show where S Schulz may publish in the future.
Co-authors
The 25 scholars most cited alongside S 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 | 2009 | 79 | |
| 2 | 2015 | 52 | |
| 3 | 2013 | 49 | |
| 4 | Part-whole reasoning in medical ontologies revisited--introducing SEP triplets into classification-based description logics. | 1998 | 41 |
| 5 | 2011 | 39 | |
| 6 | 2009 | 27 | |
| 7 | Modeling anatomical spatial relations with description logics. | 2000 | 27 |
| 8 | Automated coding of diagnoses--three methods compared. | 2000 | 25 |
| 9 | 2007 | 20 | |
| 10 | 2002 | 18 | |
| 11 | 2008 | 15 | |
| 12 | 2014 | 14 | |
| 13 | 2010 | 14 | |
| 14 | 2009 | 14 | |
| 15 | Bidirectional mereological reasoning in anatomical knowledge bases. | 2001 | 13 |
| 16 | 1998 | 6 | |
| 17 | 2008 | 4 | |
| 18 | 2009 | 2 | |
| 19 | 2017 | 1 | |
| 20 | 2010 | 0 |
About S Schulz
S Schulz is a scholar working on Molecular Biology, Artificial Intelligence, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Rheumatology, having authored 20 papers that have together received 460 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (7 papers), Semantic Web and Ontologies (5 papers), Natural Language Processing Techniques (5 papers), Systemic Sclerosis and Related Diseases (3 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), Systemic Lupus Erythematosus Research (2 papers), Health Sciences Research and Education (1 paper) and Gastrointestinal Bleeding Diagnosis and Treatment (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (113 citations), Rheumatology (76 citations), Health Information Management (19 citations), Artificial Intelligence (138 citations) and Gastroenterology (18 citations). S Schulz has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Udo Hahn, Chris T. Derk, Ludger Jansen, Martin Romacker, Elizabeth Grace, Ingvar Johansson, Sergio A. Jiménez, Catalina Martínez-Costa, R. Klar and Zhe Zhang. Their work appears in journals such as Lara D. Veeken, Journal of the American Medical Informatics Association, Seminars in Arthritis and Rheumatism, Current Medicinal Chemistry and The Monist.
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.