Kathi Canese
Impact in
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- Artificial Intelligence in Healthcare and Education
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- Topic Modeling
- Advanced Text Analysis Techniques
- Semantic Web and Ontologies
- Natural Language Processing Techniques
Papers in
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- Biomedical Text Mining and Ontologies 2
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- Topic Modeling 1
- Semantic Web and Ontologies 1
Kathi Canese
3 papers receiving 156 citations
Peers
Comparison fields: 5 of 65
- Health Informatics 9
- Artificial Intelligence 57
- Statistics, Probability and Uncertainty 11
- Research and Theory 1
- Molecular Biology 75
Countries citing papers authored by Kathi Canese
This map shows the geographic impact of Kathi Canese'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 Kathi Canese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathi Canese more than expected).
Fields of papers citing papers by Kathi Canese
This network shows the impact of papers produced by Kathi Canese. 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 Kathi Canese. The network helps show where Kathi Canese may publish in the future.
Co-authors
The 8 scholars most cited alongside Kathi Canese, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 80 | |
| 2 | PubMed: The Bibliographic Database | 2013 | 66 |
| 3 | 2018 | 15 |
About Kathi Canese
Kathi Canese is a scholar working on Molecular Biology, Artificial Intelligence, Health Information Management, Information Systems and Infectious Diseases, having authored 3 papers that have together received 161 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (2 papers), Topic Modeling (1 paper), Information Retrieval and Search Behavior (1 paper), Semantic Web and Ontologies (1 paper) and Electronic Health Records Systems (1 paper). The work is most often cited by research in Health Informatics (9 citations), Artificial Intelligence (57 citations), Statistics, Probability and Uncertainty (11 citations), Research and Theory (1 citation) and Molecular Biology (75 citations). Kathi Canese has collaborated with scholars based in United States. Frequent co-authors include Zhiyong Lu, Vadim Miller, Nicolas Fiorini, Maxim Osipov, Won Bae Kim, Sunil Mohan, James Ostell and Asta Gindulytė. Their work appears in journals such as Database and PLoS Biology.
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.