Itai Dattner

811 citations
22 papers · 373 · h-index 10

Impact in

Papers in

Itai Dattner

22 papers receiving 365 citations

Peers

Itai Dattner
Comparison fields: 5 of 106
  • Modeling and Simulation 76
  • Statistics and Probability 56
  • Applied Psychology 24
  • Statistics, Probability and Uncertainty 29
  • Infectious Diseases 67
Replace M. Amin Rahimian with:
M. Amin Rahimian United States
James Sharpnack United States
Cong Han United States
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Citations per year

Countries citing papers authored by Itai Dattner

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Itai Dattner Line = papers co-authored together Itai Dattner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021104
2 202042
3 202432
4 201528
5 201728
6 201128
7 202321
8 201518
9 201215
10 201410
11 20208
12 20207
13 20137
14 20225
15
Estimation in Systems of Ordinary Differential Equations Linear in the Parameters
20134
16 20084
17 20223
18 20173
19 20193
20 20241

About Itai Dattner

Itai Dattner is a scholar working on Control and Systems Engineering, Artificial Intelligence, Statistics and Probability, Modeling and Simulation and Infectious Diseases, having authored 22 papers that have together received 373 indexed citations. Recurring topics across this work include Control Systems and Identification (9 papers), Statistical Methods and Inference (6 papers), Gaussian Processes and Bayesian Inference (4 papers), Fault Detection and Control Systems (3 papers), COVID-19 epidemiological studies (3 papers), Advanced Control Systems Optimization (2 papers), Imbalanced Data Classification Techniques (2 papers) and Mental Health Research Topics (2 papers). The work is most often cited by research in Modeling and Simulation (76 citations), Statistics and Probability (56 citations), Applied Psychology (24 citations), Statistics, Probability and Uncertainty (29 citations) and Infectious Diseases (67 citations). Itai Dattner has collaborated with scholars based in Israel, Netherlands and United Kingdom. Frequent co-authors include Rami Yaari, Amit Huppert, Chris A. J. Klaassen, Philippe Fournier‐Viger, Yair Goldberg, Guy Katriel, Arnona Ziv, Rivka Sheffer, Alexander Goldenshluger and Anatoli Juditsky. Their work appears in journals such as Information Sciences, Frontiers in Psychiatry, British Journal of Mathematical and Statistical Psychology, Journal of Multivariate Analysis and Statistics and Computing.

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.

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