Itai Dattner

811 total citations
22 papers, 373 citations indexed

About

Itai Dattner is a scholar working on Control and Systems Engineering, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Itai Dattner has authored 22 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Control and Systems Engineering, 6 papers in Artificial Intelligence and 6 papers in Statistics and Probability. Recurrent topics in Itai Dattner's work include Control Systems and Identification (9 papers), Statistical Methods and Inference (6 papers) and Gaussian Processes and Bayesian Inference (4 papers). Itai Dattner is often cited by papers focused on Control Systems and Identification (9 papers), Statistical Methods and Inference (6 papers) and Gaussian Processes and Bayesian Inference (4 papers). Itai Dattner collaborates with scholars based in Israel, Netherlands and United Kingdom. Itai Dattner's co-authors include Rami Yaari, Amit Huppert, Chris A. J. Klaassen, Yair Goldberg, Philippe Fournier‐Viger, Guy Katriel, Rivka Sheffer, Arnona Ziv, Alexander Goldenshluger and Anatoli Juditsky and has published in prestigious journals such as Biometrics, The Annals of Statistics and Information Sciences.

In The Last Decade

Itai Dattner

22 papers receiving 365 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Itai Dattner Israel 10 76 67 61 56 56 22 373
M. Amin Rahimian United States 14 134 1.8× 29 0.4× 73 1.2× 167 3.0× 9 0.2× 53 685
Kim-Hung Pho Vietnam 11 189 2.5× 30 0.4× 129 2.1× 25 0.4× 77 1.4× 27 487
Henning Mortveit United States 15 129 1.7× 40 0.6× 53 0.9× 15 0.3× 18 0.3× 67 665
Nadya Bliss United States 14 34 0.4× 41 0.6× 203 3.3× 4 0.1× 8 0.1× 37 652
Vaibhav Bhatnagar India 9 155 2.0× 31 0.5× 99 1.6× 9 0.2× 4 0.1× 34 458
Argha Mondal India 12 455 6.0× 127 1.9× 78 1.3× 22 0.4× 5 0.1× 34 943
Wangli Xu China 12 14 0.2× 27 0.4× 75 1.2× 15 0.3× 271 4.8× 69 473
Benyun Shi China 16 193 2.5× 81 1.2× 154 2.5× 30 0.5× 11 0.2× 74 807
James Sharpnack United States 11 22 0.3× 14 0.2× 181 3.0× 6 0.1× 39 0.7× 32 405
Robert HC Chen United States 9 75 1.0× 349 5.2× 31 0.5× 10 0.2× 13 0.2× 25 779

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-authorship network of co-authors of Itai Dattner

This figure shows the co-authorship network connecting the top 25 collaborators of Itai Dattner. A scholar is included among the top collaborators of Itai Dattner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Itai Dattner. Itai Dattner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Dattner, Itai, et al.. (2024). A systematic literature review of deep learning for vibration-based fault diagnosis of critical rotating machinery: Limitations and challenges. Journal of Sound and Vibration. 590. 118562–118562. 32 indexed citations
2.
Shir, Ofer M., et al.. (2024). Physics-Guided Inverse Regression for Crop Quality Assessment. Journal of Agricultural Biological and Environmental Statistics. 31(1). 121–144. 1 indexed citations
3.
Spitzer, Michael, Itai Dattner, & Sigal Zilcha‐Mano. (2023). Digital twins and the future of precision mental health. Frontiers in Psychiatry. 14. 1082598–1082598. 21 indexed citations
4.
Dattner, Itai, Reuven Gal, Yair Goldberg, et al.. (2022). The role of statisticians in the response to COVID-19 in Israel: a holistic point of view. Israel Journal of Health Policy Research. 11(1). 22–22. 5 indexed citations
5.
Yaari, Rami, Amit Huppert, & Itai Dattner. (2022). Data-driven clustering of infectious disease incidence into age groups. Statistical Methods in Medical Research. 31(12). 2486–2499. 3 indexed citations
6.
Dattner, Itai, Yair Goldberg, Guy Katriel, et al.. (2021). The role of children in the spread of COVID-19: Using household data from Bnei Brak, Israel, to estimate the relative susceptibility and infectivity of children. PLoS Computational Biology. 17(2). e1008559–e1008559. 104 indexed citations
7.
Dattner, Itai. (2020). Differential equations in data analysis. Wiley Interdisciplinary Reviews Computational Statistics. 13(6). 8 indexed citations
8.
Dattner, Itai, et al.. (2020). Separable Nonlinear Least-Squares Parameter Estimation for Complex Dynamic Systems. Complexity. 2020. 1–11. 7 indexed citations
9.
Fournier‐Viger, Philippe, et al.. (2020). A guided FP-Growth algorithm for mining multitude-targeted item-sets and class association rules in imbalanced data. Information Sciences. 553. 353–375. 42 indexed citations
10.
Yaari, Rami & Itai Dattner. (2019). simode: R Package for Statistical Inference of Ordinary Differential Equations using Separable Integral-Matching. The Journal of Open Source Software. 4(44). 1850–1850. 3 indexed citations
11.
Yaari, Rami, et al.. (2018). A Guided FP-growth algorithm for fast mining of frequent itemsets from big data.. 1 indexed citations
12.
Dattner, Itai, et al.. (2017). Modelling and parameter inference of predator–prey dynamics in heterogeneous environments using the direct integral approach. Journal of The Royal Society Interface. 14(126). 20160525–20160525. 28 indexed citations
13.
Dattner, Itai, et al.. (2017). Consistency of direct integral estimator for partially observed systems of ordinary differential equations. Statistics & Probability Letters. 132. 40–45. 3 indexed citations
14.
Dattner, Itai & Chris A. J. Klaassen. (2015). Optimal rate of direct estimators in systems of ordinary differential equations linear in functions of the parameters. Electronic Journal of Statistics. 9(2). 28 indexed citations
15.
Dattner, Itai. (2015). A Model-Based Initial Guess for Estimating Parameters in Systems of Ordinary Differential Equations. Biometrics. 71(4). 1176–1184. 18 indexed citations
16.
Dattner, Itai, et al.. (2014). Time-course window estimator for ordinary differential equations linear in the parameters. Statistics and Computing. 25(6). 1057–1070. 10 indexed citations
17.
Dattner, Itai. (2013). Deconvolution of with supersmooth error distributions. Statistics & Probability Letters. 83(8). 1880–1887. 7 indexed citations
18.
Dattner, Itai & Chris A. J. Klaassen. (2013). Estimation in Systems of Ordinary Differential Equations Linear in the Parameters. 4 indexed citations
19.
Dattner, Itai & Benjamin Reiser. (2012). Estimation of distribution functions in measurement error models. Journal of Statistical Planning and Inference. 143(3). 479–493. 15 indexed citations
20.
Dattner, Itai. (2008). Statistical properties of the Hough transform estimator in the presence of measurement errors. Journal of Multivariate Analysis. 100(1). 112–125. 4 indexed citations

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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