John H. Gennari
- Molecular Biology top 10%
- Artificial Intelligence top 1%
- Health Information Management top 0.2%
- Information Systems top 2%
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- Mark A. MusenSamson W. TuPat LangleyDoug FisherHenrik ErikssonChunhua WengDaniel L. CookDavid W. McDonald
- Topics
- Biomedical Text Mining and Ontologies (42 papers)Semantic Web and Ontologies (31 papers)Bioinformatics and Genomic Networks (21 papers)
- Partner nations
- United StatesNew ZealandUnited Kingdom
In The Last Decade
John H. Gennari
93 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 157
- Molecular Biology 1.0k
- Artificial Intelligence 977
- Health Information Management 458
- Information Systems 326
- Public Health, Environmental and Occupational Health 306
Countries citing papers authored by John H. Gennari
This map shows the geographic impact of John H. Gennari'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 John H. Gennari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John H. Gennari more than expected).
Fields of papers citing papers by John H. Gennari
This network shows the impact of papers produced by John H. Gennari. 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 John H. Gennari. The network helps show where John H. Gennari may publish in the future.
Co-authorship network of co-authors of John H. Gennari
This figure shows the co-authorship network connecting the top 25 collaborators of John H. Gennari. A scholar is included among the top collaborators of John H. Gennari 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 John H. Gennari. John H. Gennari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 4 | |
| 3 | 12 | |
| 4 | Similarity Metrics for Determining Overlap Among Biological Pathways. | 2 |
| 5 | 31 | |
| 6 | An OWL knowledge base for classifying and querying collections of physiological models: A prototype human physiome. | 4 |
| 7 | 66 | |
| 8 | 27 | |
| 9 | 34 | |
| 10 | 6 | |
| 11 | A Method-Description Language: An initial ontology with examples | 0 |
| 12 | 28 | |
| 13 | 21 | |
| 14 | 129 | |
| 15 | Reuse For Knowledge-Based Systems and CORBA Components | 11 |
| 16 | Requirements of a Sharable Guideline Representation for Computer Applications | 10 |
| 17 | Intermed: An Internet-based Medical Collaboratory | 10 |
| 18 | Custom-Tailored Development Tools for Knowledge-Based Systems | 7 |
| 19 | Model-based automated generation of user interfaces | 26 |
| 20 | An experimental study of concept formation | 9 |
About John H. Gennari
John H. Gennari is a scholar working on Information Systems and Management, Health Information Management and Artificial Intelligence, having authored 97 papers that have together received 2.5k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (42 papers), Semantic Web and Ontologies (31 papers) and Bioinformatics and Genomic Networks (21 papers). The work is most often cited by research in Health Information Management (458 citations), Information Systems and Management (220 citations) and Artificial Intelligence (977 citations). John H. Gennari has collaborated with scholars based in United States, New Zealand and United Kingdom. Frequent co-authors include Mark A. Musen, Samson W. Tu, Pat Langley, Doug Fisher, Henrik Eriksson, Chunhua Weng, Daniel L. Cook, David W. McDonald, Maxwell L. Neal and Diane E. Oliver. Their work appears in journals such as Bioinformatics, PLoS ONE and The Journal of Physiology.
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.