Gerhard Schuster
Impact in
- Artificial Intelligence top 2%
- Semantic Web and Ontologies
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- Geographic Information Systems Studies
Papers in
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- Hemophilia Treatment and Research 6
- Chronic Myeloid Leukemia Treatments 2
- Platelet Disorders and Treatments 2
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- Semantic Web and Ontologies 4
- Co-authors
- Thomas Vögele (3 shared papers)Heiner Stuckenschmidt (3 shared papers)Ubbo Visser (2 shared papers)Sebastian Hübner (2 shared papers)Hans‐Martin Neumann (1 shared paper)Holger Wache (1 shared paper)Ingrid Pabinger (6 shared papers)Cihan Ay (4 shared papers)
In The Last Decade
Gerhard Schuster
13 papers receiving 943 citations
Gerhard Schuster's Hit Papers
Peers
Comparison fields: 5 of 86
- Artificial Intelligence 825
- Geography, Planning and Development 135
- Information Systems 513
- Signal Processing 183
- Computer Networks and Communications 355
Countries citing papers authored by Gerhard Schuster
This map shows the geographic impact of Gerhard Schuster'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 Gerhard Schuster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerhard Schuster more than expected).
Fields of papers citing papers by Gerhard Schuster
This network shows the impact of papers produced by Gerhard Schuster. 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 Gerhard Schuster. The network helps show where Gerhard Schuster may publish in the future.
Co-authors
The 25 scholars most cited alongside Gerhard Schuster, 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 | Ontology-Based Integration of Information — A Survey of Existing Approaches Hit paper breakdown → | 2001 | 885 |
| 2 | 2002 | 88 | |
| 3 | 2006 | 31 | |
| 4 | 2003 | 17 | |
| 5 | 2020 | 16 | |
| 6 | 2021 | 9 | |
| 7 | 2021 | 9 | |
| 8 | 2015 | 8 | |
| 9 | 2023 | 6 | |
| 10 | 2024 | 6 | |
| 11 | Building Shared Ontologies for Terminology Integration | 2001 | 6 |
| 12 | 2018 | 5 | |
| 13 | 2023 | 1 |
About Gerhard Schuster
Gerhard Schuster is a scholar working on Hematology, Artificial Intelligence, Molecular Biology, Genetics and Information Systems, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hemophilia Treatment and Research (6 papers), Semantic Web and Ontologies (4 papers), Chronic Myeloid Leukemia Treatments (2 papers), Service-Oriented Architecture and Web Services (2 papers), Platelet Disorders and Treatments (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Blood donation and transfusion practices (1 paper) and Advanced Database Systems and Queries (1 paper). The work is most often cited by research in Artificial Intelligence (825 citations), Geography, Planning and Development (135 citations), Information Systems (513 citations), Signal Processing (183 citations) and Computer Networks and Communications (355 citations). Gerhard Schuster has collaborated with scholars based in Austria and Germany. Frequent co-authors include Thomas Vögele, Heiner Stuckenschmidt, Ubbo Visser, Sebastian Hübner, Hans‐Martin Neumann, Holger Wache, Ingrid Pabinger, Cihan Ay, Clemens Feistritzer and Alexander Kypta. Their work appears in journals such as Journal of Thrombosis and Haemostasis, Computers & Geosciences, Research and Practice in Thrombosis and Haemostasis, Clinical Kidney Journal and Scientific Reports.
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.