Gai Elhanan
- Molecular Biology
- Artificial Intelligence top 5%
- Epidemiology
- Health Information Management top 1%
- Language and Linguistics top 5%
- Co-authors
- Yehoshua PerlRaanan RazJames J. CiminoJames GellerQing ZengAnkur AgrawalMichael HalperHuanying Gu
- Topics
- Biomedical Text Mining and Ontologies (48 papers)Semantic Web and Ontologies (37 papers)Topic Modeling (10 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United StatesIsraelCanada
In The Last Decade
Gai Elhanan
68 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 576
- Artificial Intelligence 464
- Epidemiology 193
- Health Information Management 136
- Language and Linguistics 117
Countries citing papers authored by Gai Elhanan
This map shows the geographic impact of Gai Elhanan'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 Gai Elhanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gai Elhanan more than expected).
Fields of papers citing papers by Gai Elhanan
This network shows the impact of papers produced by Gai Elhanan. 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 Gai Elhanan. The network helps show where Gai Elhanan may publish in the future.
Co-authorship network of co-authors of Gai Elhanan
This figure shows the co-authorship network connecting the top 25 collaborators of Gai Elhanan. A scholar is included among the top collaborators of Gai Elhanan 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 Gai Elhanan. Gai Elhanan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 20 | |
| 3 | 5 | |
| 4 | 28 | |
| 5 | 16 | |
| 6 | Can a Convolutional Neural Network Support Auditing of NCI Thesaurus Neoplasm Concepts | 3 |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 10 | |
| 10 | 21 | |
| 11 | 45 | |
| 12 | 34 | |
| 13 | 15 | |
| 14 | Automated Integration of a Diagnostic Decision Support System with a Large Scale Clinical Information System: Aspects of Feasibility. | 1 |
| 15 | Supporting infobuttons with terminological knowledge. | 4 |
| 16 | 30 | |
| 17 | 23 | |
| 18 | 31 | |
| 19 | 20 | |
| 20 | 10 |
About Gai Elhanan
Gai Elhanan is a scholar working on Health Information Management, Applied Microbiology and Biotechnology and Artificial Intelligence, having authored 69 papers that have together received 1.0k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (48 papers), Semantic Web and Ontologies (37 papers) and Topic Modeling (10 papers). The work is most often cited by research in Health Information Management (136 citations), Applied Microbiology and Biotechnology (41 citations) and Artificial Intelligence (464 citations). Gai Elhanan has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Yehoshua Perl, Raanan Raz, James J. Cimino, James Geller, Qing Zeng, Ankur Agrawal, Michael Halper, Huanying Gu, Joseph J. Grzymski and William J. Metcalf. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología 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.