Itai Dattner
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Statistics and Probability top 5%
- Statistical Methods and Inference
Papers in
-
- Control Systems and Identification 10
- Fault Detection and Control Systems 3
-
- Statistical Methods and Inference 7
- Co-authors
- Rami Yaari (5 shared papers)Chris A. J. Klaassen (2 shared papers)Amit Huppert (4 shared papers)Philippe Fournier‐Viger (1 shared paper)Rivka Sheffer (1 shared paper)Guy Katriel (1 shared paper)Yair Goldberg (2 shared papers)Arnona Ziv (1 shared paper)
- Journals
- The Annals of Statistics (1 paper)Frontiers in Psychiatry (1 paper)Biometrics (1 paper)PLoS Computational Biology (1 paper)Sensors (1 paper)
- Partner nations
- IsraelNetherlandsUnited States
In The Last Decade
Itai Dattner
24 papers receiving 421 citations
Peers
Comparison fields: 5 of 104
- Modeling and Simulation 63
- Statistics and Probability 79
- Applied Psychology 26
- Statistics, Probability and Uncertainty 32
- Control and Systems Engineering 74
Countries citing papers authored by Itai Dattner
This map shows the geographic impact of Itai Dattner'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 Itai Dattner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Itai Dattner more than expected).
Fields of papers citing papers by Itai Dattner
This network shows the impact of papers produced by Itai Dattner. 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 Itai Dattner. The network helps show where Itai Dattner may publish in the future.
Co-authors
The 25 scholars most cited alongside Itai Dattner, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 106 | |
| 2 | 2020 | 45 | |
| 3 | 2024 | 41 | |
| 4 | 2011 | 31 | |
| 5 | 2017 | 30 | |
| 6 | 2015 | 30 | |
| 7 | 2023 | 26 | |
| 8 | 2013 | 22 | |
| 9 | 2015 | 19 | |
| 10 | 2012 | 17 | |
| 11 | 2014 | 10 | |
| 12 | 2020 | 8 | |
| 13 | 2020 | 7 | |
| 14 | 2013 | 7 | |
| 15 | 2022 | 6 | |
| 16 | 2008 | 5 | |
| 17 | Estimation in Systems of Ordinary Differential Equations Linear in the Parameters | 2013 | 4 |
| 18 | 2022 | 3 | |
| 19 | 2019 | 3 | |
| 20 | 2017 | 3 |
About Itai Dattner
Itai Dattner is a scholar working on Control and Systems Engineering, Statistics and Probability, Artificial Intelligence, Experimental and Cognitive Psychology and Modeling and Simulation, having authored 25 papers that have together received 428 indexed citations. Recurring topics across this work include Control Systems and Identification (10 papers), Statistical Methods and Inference (7 papers), Gaussian Processes and Bayesian Inference (4 papers), COVID-19 epidemiological studies (3 papers), Mental Health Research Topics (3 papers), Fault Detection and Control Systems (3 papers), Data Mining Algorithms and Applications (2 papers) and Spectroscopy and Chemometric Analyses (2 papers). The work is most often cited by research in Modeling and Simulation (63 citations), Statistics and Probability (79 citations), Applied Psychology (26 citations), Statistics, Probability and Uncertainty (32 citations) and Control and Systems Engineering (74 citations). Itai Dattner has collaborated with scholars based in Israel, Netherlands and United States. Frequent co-authors include Rami Yaari, Chris A. J. Klaassen, Amit Huppert, Philippe Fournier‐Viger, Rivka Sheffer, Guy Katriel, Yair Goldberg, Arnona Ziv, Alexander Goldenshluger and Anatoli Juditsky. Their work appears in journals such as The Annals of Statistics, Frontiers in Psychiatry, Biometrics, PLoS Computational Biology and Sensors.
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.