Kira Radinsky
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Information Systems top 2%
- Web Data Mining and Analysis
- Information Retrieval and Search Behavior
Papers in
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- Topic Modeling 13
- Advanced Text Analysis Techniques 13
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- Web Data Mining and Analysis 12
- Information Retrieval and Search Behavior 5
- Co-authors
- Shaul Markovitch (3 shared papers)Eric Horvitz (7 shared papers)Tomer Golany (6 shared papers)Eugene Agichtein (2 shared papers)Evgeniy Gabrilovich (1 shared paper)Milad Shokouhi (5 shared papers)Gideon Koren (8 shared papers)Ido Guy (9 shared papers)
- Journals
- Pharmacology Research & Perspectives (3 papers)ACM SIGIR Forum (2 papers)Bioinformatics (2 papers)Journal of the American Medical Informatics Association (1 paper)ACM Transactions on Information Systems (1 paper)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Kira Radinsky
58 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 125
- Artificial Intelligence 811
- Information Systems 351
- Health Informatics 17
- Health Information Management 55
- Signal Processing 131
Countries citing papers authored by Kira Radinsky
This map shows the geographic impact of Kira Radinsky'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 Kira Radinsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kira Radinsky more than expected).
Fields of papers citing papers by Kira Radinsky
This network shows the impact of papers produced by Kira Radinsky. 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 Kira Radinsky. The network helps show where Kira Radinsky may publish in the future.
Co-authors
The 25 scholars most cited alongside Kira Radinsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 257 | |
| 2 | 2012 | 137 | |
| 3 | 2013 | 127 | |
| 4 | 2019 | 100 | |
| 5 | 2012 | 86 | |
| 6 | 2012 | 85 | |
| 7 | 2020 | 58 | |
| 8 | 2014 | 50 | |
| 9 | 2020 | 42 | |
| 10 | 2018 | 39 | |
| 11 | 2013 | 35 | |
| 12 | 2013 | 35 | |
| 13 | 2022 | 35 | |
| 14 | 2018 | 35 | |
| 15 | 2020 | 29 | |
| 16 | 2008 | 29 | |
| 17 | 2021 | 25 | |
| 18 | 2019 | 24 | |
| 19 | 2019 | 24 | |
| 20 | 2019 | 22 |
About Kira Radinsky
Kira Radinsky is a scholar working on Artificial Intelligence, Information Systems, Cardiology and Cardiovascular Medicine, Molecular Biology and Computational Theory and Mathematics, having authored 62 papers that have together received 1.5k indexed citations. Recurring topics across this work include Topic Modeling (13 papers), Advanced Text Analysis Techniques (13 papers), Web Data Mining and Analysis (12 papers), Computational Drug Discovery Methods (8 papers), ECG Monitoring and Analysis (7 papers), Information Retrieval and Search Behavior (5 papers), Biomedical Text Mining and Ontologies (5 papers) and Machine Learning in Materials Science (5 papers). The work is most often cited by research in Artificial Intelligence (811 citations), Information Systems (351 citations), Health Informatics (17 citations), Health Information Management (55 citations) and Signal Processing (131 citations). Kira Radinsky has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Shaul Markovitch, Eric Horvitz, Tomer Golany, Eugene Agichtein, Evgeniy Gabrilovich, Milad Shokouhi, Gideon Koren, Ido Guy, Varda Shalev and Guy Rosin. Their work appears in journals such as Pharmacology Research & Perspectives, ACM SIGIR Forum, Bioinformatics, Journal of the American Medical Informatics Association and ACM Transactions on Information Systems.
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.