Josef Ingenerf
- Molecular Biology
- Health Information Management top 0.5%
- Artificial Intelligence top 10%
- Management Science and Operations Research top 10%
- Information Systems top 10%
- Co-authors
- Jürgen StausbergHannes UlrichMichael BetzlerMartin LablansJens K. HabermannRolf EngelbrechtRaphael W. MajeedFrank Golatowski
- Topics
- Biomedical Text Mining and Ontologies (35 papers)Semantic Web and Ontologies (24 papers)linguistics and terminology studies (11 papers)
- Journals
- Journal of Medical Internet ResearchJournal of the American Medical Informatics AssociationApplied Sciences
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Josef Ingenerf
61 papers receiving 491 citations
Peers
Comparison fields: 5 of 102
- Molecular Biology 188
- Health Information Management 181
- Artificial Intelligence 130
- Management Science and Operations Research 62
- Information Systems 61
Countries citing papers authored by Josef Ingenerf
This map shows the geographic impact of Josef Ingenerf'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 Josef Ingenerf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Josef Ingenerf more than expected).
Fields of papers citing papers by Josef Ingenerf
This network shows the impact of papers produced by Josef Ingenerf. 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 Josef Ingenerf. The network helps show where Josef Ingenerf may publish in the future.
Co-authorship network of co-authors of Josef Ingenerf
This figure shows the co-authorship network connecting the top 25 collaborators of Josef Ingenerf. A scholar is included among the top collaborators of Josef Ingenerf 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 Josef Ingenerf. Josef Ingenerf 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 | 1 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 15 | |
| 6 | 35 | |
| 7 | 4 | |
| 8 | 9 | |
| 9 | 11 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 5 | |
| 14 | 1 | |
| 15 | German-Language Content in Biomedical Vocabularies. | 5 |
| 16 | 2 | |
| 17 | Terminologien oder Klassifikationen: Was bringt die Zukunft? | 2 |
| 18 | 5 | |
| 19 | 23 | |
| 20 | Notwendigkeit und Funktionalität eines Terminologieservers in der Medizin. | 3 |
About Josef Ingenerf
Josef Ingenerf is a scholar working on Medical Laboratory Technology, Health Information Management and Information Systems and Management, having authored 67 papers that have together received 525 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (35 papers), Semantic Web and Ontologies (24 papers) and linguistics and terminology studies (11 papers). The work is most often cited by research in Health Information Management (181 citations), Medical Terminology (5 citations) and Medical Laboratory Technology (23 citations). Josef Ingenerf has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Jürgen Stausberg, Hannes Ulrich, Michael Betzler, Martin Lablans, Jens K. Habermann, Rolf Engelbrecht, Raphael W. Majeed, Frank Golatowski, Stefan Franke and Thorsten Langer. Their work appears in journals such as Journal of Medical Internet Research, Journal of the American Medical Informatics Association and Applied Sciences.
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.