Ivan Zorych
Impact in
- Toxicology top 1%
- Pharmacovigilance and Adverse Drug Reactions
- Statistics and Probability top 5%
- Statistical Methods in Clinical Trials
- Advanced Causal Inference Techniques
Papers in
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- Terahertz technology and applications 4
-
- Statistical Methods in Clinical Trials 5
- Statistical Methods and Inference 2
- Co-authors
- David Madigan (5 shared papers)Patrick Ryan (5 shared papers)Marc A. Suchard (3 shared papers)Andrew Bate (1 shared paper)Martijn J. Schuemie (3 shared papers)Susan Gruber (1 shared paper)Alexander M. Sinyukov (4 shared papers)Zoi-Heleni Michalopoulou (4 shared papers)
- Journals
- Drug Safety (2 papers)ACM Transactions on Modeling and Computer Simulation (1 paper)The International Journal of Biostatistics (1 paper)Comptes Rendus Physique (1 paper)Optics Letters (1 paper)
- Partner nations
- United StatesNetherlandsIsrael
In The Last Decade
Ivan Zorych
11 papers receiving 366 citations
Peers
Comparison fields: 5 of 83
- Toxicology 127
- Statistics and Probability 103
- Geriatrics and Gerontology 15
- Computational Theory and Mathematics 56
- Health Information Management 11
Countries citing papers authored by Ivan Zorych
This map shows the geographic impact of Ivan Zorych'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 Ivan Zorych with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Zorych more than expected).
Fields of papers citing papers by Ivan Zorych
This network shows the impact of papers produced by Ivan Zorych. 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 Ivan Zorych. The network helps show where Ivan Zorych may publish in the future.
Co-authors
The 23 scholars most cited alongside Ivan Zorych, 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 | 2013 | 94 | |
| 2 | 2011 | 89 | |
| 3 | 2013 | 56 | |
| 4 | 2008 | 38 | |
| 5 | 2013 | 33 | |
| 6 | 2013 | 31 | |
| 7 | 2010 | 15 | |
| 8 | 2008 | 14 | |
| 9 | 2006 | 7 | |
| 10 | 2007 | 3 | |
| 11 | 2007 | 1 |
About Ivan Zorych
Ivan Zorych is a scholar working on Electrical and Electronic Engineering, Statistics and Probability, Astronomy and Astrophysics, Toxicology and Spectroscopy, having authored 11 papers that have together received 381 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (5 papers), Terahertz technology and applications (4 papers), Pharmacovigilance and Adverse Drug Reactions (3 papers), Superconducting and THz Device Technology (3 papers), Spectroscopy and Laser Applications (3 papers), Statistical Methods and Inference (2 papers), Advanced Chemical Sensor Technologies (1 paper) and Pharmaceutical Practices and Patient Outcomes (1 paper). The work is most often cited by research in Toxicology (127 citations), Statistics and Probability (103 citations), Geriatrics and Gerontology (15 citations), Computational Theory and Mathematics (56 citations) and Health Information Management (11 citations). Ivan Zorych has collaborated with scholars based in United States, Netherlands and Israel. Frequent co-authors include David Madigan, Patrick Ryan, Marc A. Suchard, Andrew Bate, Martijn J. Schuemie, Susan Gruber, Alexander M. Sinyukov, Zoi-Heleni Michalopoulou, Dale E. Gary and John F. Federici. Their work appears in journals such as Drug Safety, ACM Transactions on Modeling and Computer Simulation, The International Journal of Biostatistics, Comptes Rendus Physique and Optics Letters.
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.