Y. Vardi
Impact in
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- Medical Imaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Radiation top 0.5%
- Radiation Detection and Scintillator Technologies
Papers in
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- Statistical Methods and Inference 13
- Statistical Distribution Estimation and Applications 7
- Statistical Methods and Bayesian Inference 3
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- Medical Imaging Techniques and Applications 10
- Advanced MRI Techniques and Applications 5
- Advanced Neuroimaging Techniques and Applications 3
- Co-authors
- L. A. Shepp (9 shared papers)Linda Kaufman (4 shared papers)D. Lee (1 shared paper)Cun‐Hui Zhang (1 shared paper)Cun-Hui Zhang (1 shared paper)Lorraine Denby (3 shared papers)S. K. Hilal (1 shared paper)Z. H. Cho (1 shared paper)
- Journals
- The Annals of Statistics (6 papers)Journal of the American Statistical Association (6 papers)Biometrika (3 papers)Technometrics (3 papers)Journal of Applied Probability (2 papers)
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Y. Vardi
33 papers receiving 5.5k citations
Y. Vardi's Hit Papers
Peers
Comparison fields: 5 of 148
- Radiology, Nuclear Medicine and Imaging 3.2k
- Radiation 1.2k
- Statistics and Probability 1.0k
- Computational Mathematics 33
- Biomedical Engineering 1.6k
Countries citing papers authored by Y. Vardi
This map shows the geographic impact of Y. Vardi'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 Y. Vardi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y. Vardi more than expected).
Fields of papers citing papers by Y. Vardi
This network shows the impact of papers produced by Y. Vardi. 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 Y. Vardi. The network helps show where Y. Vardi may publish in the future.
Co-authors
The 20 scholars most cited alongside Y. Vardi, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Maximum Likelihood Reconstruction for Emission Tomography Hit paper breakdown → | 1982 | 3094 |
| 2 | A Statistical Model for Positron Emission Tomography Hit paper breakdown → | 1985 | 554 |
| 3 | 1996 | 496 | |
| 4 | 1996 | 274 | |
| 5 | 1985 | 273 | |
| 6 | 1982 | 247 | |
| 7 | 1985 | 222 | |
| 8 | 1993 | 170 | |
| 9 | 1989 | 133 | |
| 10 | 1992 | 67 | |
| 11 | 2004 | 56 | |
| 12 | 1984 | 56 | |
| 13 | 1982 | 51 | |
| 14 | 1983 | 29 | |
| 15 | 1999 | 28 | |
| 16 | 2001 | 19 | |
| 17 | 1979 | 13 | |
| 18 | 1986 | 12 | |
| 19 | 1985 | 12 | |
| 20 | 1986 | 10 |
About Y. Vardi
Y. Vardi is a scholar working on Statistics and Probability, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications, having authored 33 papers that have together received 5.9k indexed citations. Recurring topics across this work include Statistical Methods and Inference (13 papers), Medical Imaging Techniques and Applications (10 papers), Statistical Distribution Estimation and Applications (7 papers), Advanced MRI Techniques and Applications (5 papers), Bayesian Methods and Mixture Models (4 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Optimization and Search Problems (3 papers) and Statistical Methods and Bayesian Inference (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (3.2k citations), Radiation (1.2k citations), Statistics and Probability (1.0k citations), Computational Mathematics (33 citations) and Biomedical Engineering (1.6k citations). Y. Vardi has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include L. A. Shepp, Linda Kaufman, D. Lee, Cun‐Hui Zhang, Cun-Hui Zhang, Lorraine Denby, S. K. Hilal, Z. H. Cho, Jeffrey E. Boyd and Jean Meloche. Their work appears in journals such as The Annals of Statistics, Journal of the American Statistical Association, Biometrika, Technometrics and Journal of Applied Probability.
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.