Martin Boeker
- Molecular Biology
- Artificial Intelligence top 5%
- Public Health, Environmental and Occupational Health top 10%
- Immunology and Allergy top 5%
- Physiology
- Co-authors
- Werner VachEdith MotschallStefan SchulzAlexander KappThomas WerfelPeter M AndelA. FrankenschmidtHolger Stenzhorn
- Topics
- Biomedical Text Mining and Ontologies (52 papers)Semantic Web and Ontologies (32 papers)Electronic Health Records Systems (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsPLoS ONE
- Partner nations
- GermanyAustriaSwitzerland
In The Last Decade
Martin Boeker
121 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 173
- Molecular Biology 455
- Artificial Intelligence 338
- Public Health, Environmental and Occupational Health 239
- Immunology and Allergy 184
- Physiology 142
Countries citing papers authored by Martin Boeker
This map shows the geographic impact of Martin Boeker'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 Martin Boeker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Boeker more than expected).
Fields of papers citing papers by Martin Boeker
This network shows the impact of papers produced by Martin Boeker. 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 Martin Boeker. The network helps show where Martin Boeker may publish in the future.
Co-authorship network of co-authors of Martin Boeker
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Boeker. A scholar is included among the top collaborators of Martin Boeker 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 Martin Boeker. Martin Boeker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 10 | |
| 7 | 10 | |
| 8 | 7 | |
| 9 | 8 | |
| 10 | 4 | |
| 11 | 4 | |
| 12 | 14 | |
| 13 | 17 | |
| 14 | 25 | |
| 15 | 18 | |
| 16 | 4 | |
| 17 | 3 | |
| 18 | 4 | |
| 19 | 16 | |
| 20 | Measuring the Effect of a Guideline-based Training on Ontology Design with a Competency Questions based Evaluation Approach | 1 |
About Martin Boeker
Martin Boeker is a scholar working on Health Information Management, Health Informatics and Family Practice, having authored 128 papers that have together received 1.9k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (52 papers), Semantic Web and Ontologies (32 papers) and Electronic Health Records Systems (12 papers). The work is most often cited by research in Health Informatics (45 citations), Immunology and Allergy (184 citations) and Health Information Management (125 citations). Martin Boeker has collaborated with scholars based in Germany, Austria and Switzerland. Frequent co-authors include Werner Vach, Edith Motschall, Stefan Schulz, Alexander Kapp, Thomas Werfel, Peter M Andel, A. Frankenschmidt, Holger Stenzhorn, Petra Schmidt and Stefan Schulz. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.
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.