Holger Stenzhorn
- Artificial Intelligence top 5%
- Molecular Biology
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Management Science and Operations Research top 5%
- Co-authors
- Stefan SchulzGiovanni TummarelloMichele CatastaRenaud DelbruRichard CyganiakEyal OrenMartin BoekerElena Beißwanger
- Topics
- Biomedical Text Mining and Ontologies (25 papers)Semantic Web and Ontologies (25 papers)Scientific Computing and Data Management (9 papers)
In The Last Decade
Holger Stenzhorn
34 papers receiving 570 citations
Peers
Comparison fields: 5 of 80
- Artificial Intelligence 452
- Molecular Biology 325
- Information Systems 176
- Computer Networks and Communications 92
- Management Science and Operations Research 92
Countries citing papers authored by Holger Stenzhorn
This map shows the geographic impact of Holger Stenzhorn'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 Holger Stenzhorn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Holger Stenzhorn more than expected).
Fields of papers citing papers by Holger Stenzhorn
This network shows the impact of papers produced by Holger Stenzhorn. 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 Holger Stenzhorn. The network helps show where Holger Stenzhorn may publish in the future.
Co-authorship network of co-authors of Holger Stenzhorn
This figure shows the co-authorship network connecting the top 25 collaborators of Holger Stenzhorn. A scholar is included among the top collaborators of Holger Stenzhorn based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Holger Stenzhorn. Holger Stenzhorn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | Experiences from the National Demonstrator Study within the German Medical Informatics Initiative. | 0 |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 34 | |
| 9 | 4 | |
| 10 | The Pitfalls of Thesaurus Ontologization - the Case of the NCI Thesaurus. | 21 |
| 11 | 57 | |
| 12 | 16 | |
| 13 | 3 | |
| 14 | 71 | |
| 15 | 23 | |
| 16 | 9 | |
| 17 | Towards a top-domain ontology for linking biomedical ontologies. | 16 |
| 18 | Ten theses on clinical ontologies. | 2 |
| 19 | From GENIA to BIOTOPTowards a Top-Level Ontology for Biology | 13 |
| 20 | 3 |
About Holger Stenzhorn
Holger Stenzhorn is a scholar working on Information Systems and Management, Health Information Management and Artificial Intelligence, having authored 38 papers that have together received 626 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (25 papers), Semantic Web and Ontologies (25 papers) and Scientific Computing and Data Management (9 papers). The work is most often cited by research in Artificial Intelligence (452 citations), Health Information Management (51 citations) and Information Systems and Management (73 citations). Holger Stenzhorn has collaborated with scholars based in Germany, Greece and Spain. Frequent co-authors include Stefan Schulz, Giovanni Tummarello, Michele Catasta, Renaud Delbru, Richard Cyganiak, Eyal Oren, Martin Boeker, Elena Beißwanger, Stefan Schulz and Udo Hahn. Their work appears in journals such as Bioinformatics, Journal of Biomedical Informatics and Journal of Biomedical Semantics.
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.