Stephan Schulz
Impact in
- Software top 10%
- Artificial Intelligence top 5%
- Logic, programming, and type systems
- Logic, Reasoning, and Knowledge
- Semantic Web and Ontologies
Papers in
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- Logic, programming, and type systems 4
-
- Formal Methods in Verification 4
- Co-authors
- Geoff Sutcliffe (1 shared paper)Falko Fend (4 shared papers)Marcus Kremer (3 shared papers)Antonello D. Cabras (3 shared papers)Martin Werner (3 shared papers)Michael Schloter (3 shared papers)Mario Bunse (1 shared paper)Hauke Harms (2 shared papers)
- Journals
- Blood (2 papers)The ISME Journal (2 papers)Molecular Therapy (1 paper)BMC Medicine (1 paper)Laboratory Investigation (1 paper)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Stephan Schulz
23 papers receiving 530 citations
Peers
Comparison fields: 5 of 91
- Software 30
- Artificial Intelligence 245
- Computational Theory and Mathematics 110
- Theoretical Computer Science 6
- Immunology 70
Countries citing papers authored by Stephan Schulz
This map shows the geographic impact of Stephan 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 Stephan Schulz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan Schulz more than expected).
Fields of papers citing papers by Stephan Schulz
This network shows the impact of papers produced by Stephan 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 Stephan Schulz. The network helps show where Stephan Schulz may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephan 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
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | E - a brainiac theorem prover | 2002 | 177 |
| 2 | 2014 | 52 | |
| 3 | 2012 | 35 | |
| 4 | 2009 | 34 | |
| 5 | TSTP Data-Exchange Formats for Automated Theorem Proving Tools | 2004 | 33 |
| 6 | 2004 | 32 | |
| 7 | 2011 | 30 | |
| 8 | 2012 | 30 | |
| 9 | 2000 | 30 | |
| 10 | 2004 | 28 | |
| 11 | 2014 | 20 | |
| 12 | 2001 | 17 | |
| 13 | 2013 | 15 | |
| 14 | Learning Search Control Knowledge for Equational Deduction | 2000 | 10 |
| 15 | 2009 | 8 | |
| 16 | 2018 | 7 | |
| 17 | [Molecular diagnosis of mycobacterial infections]. | 2007 | 5 |
| 18 | 2000 | 4 | |
| 19 | 2018 | 2 | |
| 20 | 2005 | 1 |
About Stephan Schulz
Stephan Schulz is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Hematology, Immunology and Genetics, having authored 23 papers that have together received 573 indexed citations. Recurring topics across this work include Logic, programming, and type systems (4 papers), Formal Methods in Verification (4 papers), Hematopoietic Stem Cell Transplantation (3 papers), CAR-T cell therapy research (3 papers), Immunotherapy and Immune Responses (3 papers), Microbial Community Ecology and Physiology (3 papers), Chronic Lymphocytic Leukemia Research (3 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Software (30 citations), Artificial Intelligence (245 citations), Computational Theory and Mathematics (110 citations), Theoretical Computer Science (6 citations) and Immunology (70 citations). Stephan Schulz has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Geoff Sutcliffe, Falko Fend, Marcus Kremer, Antonello D. Cabras, Martin Werner, Michael Schloter, Mario Bunse, Hauke Harms, Gavin Bendle and Ton N. Schumacher. Their work appears in journals such as Blood, The ISME Journal, Molecular Therapy, BMC Medicine and Laboratory Investigation.
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.