S Schulz
Impact in
- Pathology and Forensic Medicine top 10%
- Systemic Sclerosis and Related Diseases
- Rheumatology top 10%
- Systemic Lupus Erythematosus Research
Papers in
-
- Systemic Lupus Erythematosus Research 3
- Co-authors
- Udo HahnChris T. DerkLudger JansenMartin RomackerElizabeth GraceIngvar JohanssonCatalina Martínez-CostaR. Klar
- Journals
- Lara D. Veeken (1 paper)The Monist (1 paper)Current Medicinal Chemistry (1 paper)Seminars in Arthritis and Rheumatism (1 paper)Yearbook of Medical Informatics (1 paper)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
S Schulz
19 papers receiving 391 citations
Peers
Comparison fields: 5 of 69
- Pathology and Forensic Medicine 115
- Rheumatology 85
- Health Information Management 23
- Artificial Intelligence 153
- Gastroenterology 17
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-authorship network
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 | 2017 | 0 | |
| 2 | 2015 | 48 | |
| 3 | 2014 | 13 | |
| 4 | 2013 | 45 | |
| 5 | 2011 | 36 | |
| 6 | 2010 | 14 | |
| 7 | 2009 | 2 | |
| 8 | 2009 | 69 | |
| 9 | 2009 | 24 | |
| 10 | 2009 | 13 | |
| 11 | 2008 | 4 | |
| 12 | 2008 | 12 | |
| 13 | 2007 | 18 | |
| 14 | 2002 | 16 | |
| 15 | Bidirectional mereological reasoning in anatomical knowledge bases. | 2001 | 13 |
| 16 | Automated coding of diagnoses--three methods compared. | 2000 | 23 |
| 17 | Modeling anatomical spatial relations with description logics. | 2000 | 19 |
| 18 | 1998 | 3 | |
| 19 | Part-whole reasoning in medical ontologies revisited--introducing SEP triplets into classification-based description logics. | 1998 | 34 |
| 20 | 1998 | 6 |
About S Schulz
S Schulz is a scholar working on Medical Terminology, Rheumatology, Artificial Intelligence, Pathology and Forensic Medicine and Health Information Management, having authored 20 papers that have together received 412 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (10 papers), Semantic Web and Ontologies (7 papers), Natural Language Processing Techniques (6 papers), Systemic Lupus Erythematosus Research (3 papers), Systemic Sclerosis and Related Diseases (3 papers), Topic Modeling (2 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (1 paper) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (115 citations), Rheumatology (85 citations), Health Information Management (23 citations), Artificial Intelligence (153 citations) and Gastroenterology (17 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, Catalina Martínez-Costa, R. Klar, Sergio A. Jiménez and Kathleen E. Sullivan. Their work appears in journals such as Lara D. Veeken, The Monist, Current Medicinal Chemistry, Seminars in Arthritis and Rheumatism and Yearbook of Medical 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.