Fabian Neuhaus
- Artificial Intelligence top 2%
- Semantic Web and Ontologies 18
- Natural Language Processing Techniques 4
- Topic Modeling 3
- Logic, Reasoning, and Knowledge 2
- Molecular Biology top 10%
- Biomedical Text Mining and Ontologies 13
- Health Information Management top 10%
- Anatomy top 10%
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- Service-Oriented Architecture and Web Services 7
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- Computational Drug Discovery Methods 2
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- Advanced Database Systems and Queries 2
- Co-authors
- Barry SmithChris MungallWerner CeustersJacob KöhlerJane LomaxAnand KumarAlan RectorCornelius Rosse
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Fabian Neuhaus
26 papers receiving 802 citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Artificial Intelligence 584
- Molecular Biology 706
- Information Systems and Management 51
- Health Information Management 28
- Anatomy 6
Countries citing papers authored by Fabian Neuhaus
This map shows the geographic impact of Fabian Neuhaus'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 Fabian Neuhaus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabian Neuhaus more than expected).
Fields of papers citing papers by Fabian Neuhaus
This network shows the impact of papers produced by Fabian Neuhaus. 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 Fabian Neuhaus. The network helps show where Fabian Neuhaus may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fabian Neuhaus, 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 | 2024 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 10 | |
| 6 | 2022 | 9 | |
| 7 | 2021 | 16 | |
| 8 | 2021 | 0 | |
| 9 | Free Description Logic for Ontologists. | 2020 | 1 |
| 10 | Generic Ontology Design Patterns at Work | 2019 | 1 |
| 11 | 2017 | 2 | |
| 12 | Ontology Patterns with DOWL: The Case of Blending. | 2016 | 3 |
| 13 | 2016 | 21 | |
| 14 | 2015 | 12 | |
| 15 | 2015 | 26 | |
| 16 | RECON - A Controlled English for Business Rules. | 2013 | 1 |
| 17 | The Semantics of Modules in Common Logic | 2010 | 1 |
| 18 | Relations in biomedical ontologiesbreakdown → | 2005 | 653 |
| 19 | Tautologien und Trivialitäten? Logische Methoden in der Philosophie | 2003 | 1 |
| 20 | 2002 | 7 |
About Fabian Neuhaus
Fabian Neuhaus is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics, having authored 30 papers that have together received 896 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (18 papers), Biomedical Text Mining and Ontologies (13 papers), Service-Oriented Architecture and Web Services (7 papers), Natural Language Processing Techniques (4 papers), Topic Modeling (3 papers), Logic, Reasoning, and Knowledge (2 papers), Computational Drug Discovery Methods (2 papers) and Advanced Database Systems and Queries (2 papers). The work is most often cited by research in Artificial Intelligence (584 citations), Molecular Biology (706 citations) and Information Systems and Management (51 citations). Fabian Neuhaus has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Barry Smith, Chris Mungall, Werner Ceusters, Jacob Köhler, Jane Lomax, Anand Kumar, Alan Rector, Cornelius Rosse, Bert R. E. Klagges and Oliver Kutz. Their work appears in journals such as Bioinformatics, Genome biology and Journal of Cheminformatics.
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.