O Bodenreider
- Molecular Biology
- Artificial Intelligence top 10%
- Health Information Management top 5%
- Information Systems
- Management Science and Operations Research
- Co-authors
- Daniel J. VreemanRonald CornetStuart J. NelsonW. John WilburThomas C. RindfleschJames G. MorkAnita BurgunChristine Bouchet
- Topics
- Biomedical Text Mining and Ontologies (7 papers)Semantic Web and Ontologies (7 papers)linguistics and terminology studies (3 papers)
- Journals
- Yearbook of Medical InformaticsStudies in health technology and informaticsPubMed
- Partner nations
- United StatesFranceNetherlands
In The Last Decade
O Bodenreider
8 papers receiving 252 citations
Peers
Comparison fields: 5 of 51
- Molecular Biology 202
- Artificial Intelligence 182
- Health Information Management 44
- Information Systems 24
- Management Science and Operations Research 17
Countries citing papers authored by O Bodenreider
This map shows the geographic impact of O Bodenreider'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 O Bodenreider with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites O Bodenreider more than expected).
Fields of papers citing papers by O Bodenreider
This network shows the impact of papers produced by O Bodenreider. 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 O Bodenreider. The network helps show where O Bodenreider may publish in the future.
Co-authorship network of co-authors of O Bodenreider
This figure shows the co-authorship network connecting the top 25 collaborators of O Bodenreider. A scholar is included among the top collaborators of O Bodenreider 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 O Bodenreider. O Bodenreider is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 76 | |
| 2 | 14 | |
| 3 | Mapping the UMLS Semantic Network into general ontologies. | 21 |
| 4 | The NLM Indexing Initiative. | 119 |
| 5 | Using UMLS semantics for classification purposes. | 22 |
| 6 | A collaborative approach to building a terminology for medical procedures using a Web-based application: from specifications to daily use. | 2 |
| 7 | 5 | |
| 8 | Knowledge acquisition from the UMLS sources: application to the description of surgical procedures. | 5 |
About O Bodenreider
O Bodenreider is a scholar working on Language and Linguistics, Artificial Intelligence and Health Information Management, having authored 8 papers that have together received 264 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (7 papers), Semantic Web and Ontologies (7 papers) and linguistics and terminology studies (3 papers). The work is most often cited by research in Health Information Management (44 citations), Artificial Intelligence (182 citations) and Health Informatics (7 citations). O Bodenreider has collaborated with scholars based in United States, France and Netherlands. Frequent co-authors include Daniel J. Vreeman, Ronald Cornet, Stuart J. Nelson, W. John Wilbur, Thomas C. Rindflesch, James G. Mork, Anita Burgun, Christine Bouchet, G. Botti and Marius Fieschi. Their work appears in journals such as Yearbook of Medical Informatics, Studies in health technology and informatics and PubMed.
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.