Robert M. Abarbanel
- Molecular Biology
- Health Information Management top 1%
- Artificial Intelligence top 10%
- Public Health, Environmental and Occupational Health
- Materials Chemistry
- Co-authors
- Fred E. CohenI. D. KuntzR.J. FletterickRobert J. FletterickIrwin D. KuntzMark S. TuttleRichard W. SagebielSamson W. Tu
- Topics
- Electronic Health Records Systems (5 papers)Clinical practice guidelines implementation (4 papers)Biomedical Text Mining and Ontologies (4 papers)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Robert M. Abarbanel
14 papers receiving 613 citations
Peers
Comparison fields: 5 of 92
- Molecular Biology 410
- Health Information Management 167
- Artificial Intelligence 124
- Public Health, Environmental and Occupational Health 87
- Materials Chemistry 86
Countries citing papers authored by Robert M. Abarbanel
This map shows the geographic impact of Robert M. Abarbanel'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 Robert M. Abarbanel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert M. Abarbanel more than expected).
Fields of papers citing papers by Robert M. Abarbanel
This network shows the impact of papers produced by Robert M. Abarbanel. 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 Robert M. Abarbanel. The network helps show where Robert M. Abarbanel may publish in the future.
Co-authorship network of co-authors of Robert M. Abarbanel
This figure shows the co-authorship network connecting the top 25 collaborators of Robert M. Abarbanel. A scholar is included among the top collaborators of Robert M. Abarbanel 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 Robert M. Abarbanel. Robert M. Abarbanel 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 | 123 | |
| 3 | Structuring order sets for interoperable distribution. | 5 |
| 4 | Use of declarative statements in creating and maintaining computer-interpretable knowledge bases for guideline-based care. | 5 |
| 5 | 38 | |
| 6 | 4 | |
| 7 | 79 | |
| 8 | Biomedical database inter-connectivity: an experiment linking MIM, GENBANK, and META-1 via MEDLINE. | 8 |
| 9 | KEEconnection: a bridge between databases and knowledge bases | 6 |
| 10 | A Relational Representation for Knowledge Bases. | 26 |
| 11 | 165 | |
| 12 | 33 | |
| 13 | 93 | |
| 14 | 78 |
About Robert M. Abarbanel
Robert M. Abarbanel is a scholar working on Health Information Management, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 14 papers that have together received 665 indexed citations. Recurring topics across this work include Electronic Health Records Systems (5 papers), Clinical practice guidelines implementation (4 papers) and Biomedical Text Mining and Ontologies (4 papers). The work is most often cited by research in Health Information Management (167 citations), Health Informatics (10 citations) and Issues, ethics and legal aspects (8 citations). Robert M. Abarbanel has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Fred E. Cohen, I. D. Kuntz, R.J. Fletterick, Robert J. Fletterick, Irwin D. Kuntz, Mark S. Tuttle, Richard W. Sagebiel, Samson W. Tu, Marsden S. Blois and David N. Berg. Their work appears in journals such as Nucleic Acids Research, Biochemistry and Cancer.
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.