Ya’acov Ritov

9.8k total citations · 3 hit papers
118 papers, 5.9k citations indexed

About

Ya’acov Ritov is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Ya’acov Ritov has authored 118 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Statistics and Probability, 26 papers in Artificial Intelligence and 16 papers in Statistics, Probability and Uncertainty. Recurrent topics in Ya’acov Ritov's work include Statistical Methods and Inference (52 papers), Statistical Methods and Bayesian Inference (20 papers) and Bayesian Methods and Mixture Models (17 papers). Ya’acov Ritov is often cited by papers focused on Statistical Methods and Inference (52 papers), Statistical Methods and Bayesian Inference (20 papers) and Bayesian Methods and Mixture Models (17 papers). Ya’acov Ritov collaborates with scholars based in Israel, United States and Australia. Ya’acov Ritov's co-authors include Peter J. Bickel, Alexandre B. Tsybakov, Jon A. Wellner, Chris A. J. Klaassen, Anton Schίck, James M. Robins, Eitan Greenshtein, Hagai Bergman, Tobias Rydén and Izhar Bar‐Gad and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Journal of the American Statistical Association.

In The Last Decade

Ya’acov Ritov

110 papers receiving 5.4k citations

Hit Papers

Simultaneous analysis of Lasso and Dantzig se... 1994 2026 2004 2015 2009 1994 1994 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ya’acov Ritov Israel 31 3.4k 1.4k 574 457 433 118 5.9k
Ming Yuan United States 38 4.0k 1.2× 2.9k 2.1× 1.9k 3.4× 429 0.9× 310 0.7× 174 10.6k
Sara van de Geer Switzerland 22 2.4k 0.7× 1.3k 1.0× 873 1.5× 357 0.8× 222 0.5× 64 4.7k
Robert Serfling United States 27 4.3k 1.2× 1.2k 0.9× 104 0.2× 505 1.1× 888 2.1× 76 6.5k
Keith Knight Canada 21 2.1k 0.6× 828 0.6× 562 1.0× 495 1.1× 675 1.6× 37 4.2k
Hao Helen Zhang United States 32 1.9k 0.5× 983 0.7× 322 0.6× 232 0.5× 99 0.2× 114 4.5k
László Györfi Hungary 27 2.5k 0.7× 3.2k 2.3× 434 0.8× 268 0.6× 604 1.4× 113 6.5k
Victor Solo Australia 27 451 0.1× 614 0.4× 678 1.2× 472 1.0× 532 1.2× 234 3.9k
Yuhong Yang United States 28 1.5k 0.4× 1.0k 0.8× 190 0.3× 387 0.8× 243 0.6× 124 3.9k
Elizaveta Levina United States 26 1.8k 0.5× 1.4k 1.1× 509 0.9× 318 0.7× 288 0.7× 53 4.6k
Thriyambakam Krishnan Netherlands 3 1.2k 0.3× 1.9k 1.4× 163 0.3× 231 0.5× 167 0.4× 3 4.6k

Countries citing papers authored by Ya’acov Ritov

Since Specialization
Citations

This map shows the geographic impact of Ya’acov Ritov'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 Ya’acov Ritov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya’acov Ritov more than expected).

Fields of papers citing papers by Ya’acov Ritov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ya’acov Ritov. 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 Ya’acov Ritov. The network helps show where Ya’acov Ritov may publish in the future.

Co-authorship network of co-authors of Ya’acov Ritov

This figure shows the co-authorship network connecting the top 25 collaborators of Ya’acov Ritov. A scholar is included among the top collaborators of Ya’acov Ritov 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 Ya’acov Ritov. Ya’acov Ritov 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.
Goldberg, Yair, et al.. (2022). Self‐reporting and screening: Data with right‐censored, left‐censored, and complete observations. Statistics in Medicine. 41(18). 3561–3578. 4 indexed citations
2.
Abramovich, Felix & Ya’acov Ritov. (2022). Statistical Theory.
3.
Banerjee, Moulinath, et al.. (2019). Inference In General Single-Index Models Under High-dimensional Symmetric Designs. arXiv (Cornell University).
4.
Rosenblatt, Jonathan D., Ya’acov Ritov, & Jelle J. Goeman. (2018). Discussion of ‘Gene hunting with hidden Markov model knockoffs’. Biometrika. 106(1). 29–33. 4 indexed citations
5.
Brown, Lawrence D., Eitan Greenshtein, & Ya’acov Ritov. (2013). The Poisson Compound Decision Problem Revisited. Journal of the American Statistical Association. 108(502). 741–749. 15 indexed citations
6.
Zakai, Alon & Ya’acov Ritov. (2009). Consistency and Localizability. Journal of Machine Learning Research. 10(30). 827–856. 19 indexed citations
7.
Lach, Saul, Ya’acov Ritov, & Avi Simhon. (2008). The Transmission of Longevity Across Generations. SSRN Electronic Journal. 2 indexed citations
8.
Ritov, Ya’acov, et al.. (2008). Semiparametric shift estimation for alignment of ECG data. European Signal Processing Conference. 1–5. 1 indexed citations
9.
Bickel, Peter J. & Ya’acov Ritov. (2008). Response to Mease and Wyner, Evidence Contrary to the Statistical View of Boosting, JMLR 9:131-156, 2008: And Yet It Overfits. Journal of Machine Learning Research. 9. 181–186.
10.
Zakai, Alon & Ya’acov Ritov. (2008). How local should a learning method be. Conference on Learning Theory. 205–216. 3 indexed citations
11.
Ritov, Ya’acov, et al.. (2008). Semiparametric density estimation of shifts between curves. arXiv (Cornell University). 2 indexed citations
12.
Goldberg, Yair, Alon Zakai, Dan Kushnir, & Ya’acov Ritov. (2008). Manifold Learning: The Price of Normalization. Journal of Machine Learning Research. 9(63). 1909–1939. 45 indexed citations
13.
Bickel, Peter J., Ya’acov Ritov, & Alon Zakai. (2006). Some Theory for Generalized Boosting Algorithms. Journal of Machine Learning Research. 7(25). 705–732. 32 indexed citations
14.
Haitovsky, Yoel, Hans Rudolf Lerche, & Ya’acov Ritov. (2003). Foundations of statistical inference : proceedings of the Shoresh Conference 2000. CERN Document Server (European Organization for Nuclear Research). 2 indexed citations
15.
Levy, Moshe & Ya’acov Ritov. (2001). Portfolio Optimization with Many Assets: The Importance of Short-Selling. eScholarship (California Digital Library). 7 indexed citations
16.
Schίck, Anton, Peter J. Bickel, Chris A. J. Klaassen, Ya’acov Ritov, & Jon A. Wellner. (1994). Efficient and Adaptive Estimation for Semiparametric Models.. Journal of the American Statistical Association. 89(428). 1565–1565. 792 indexed citations breakdown →
17.
Ritov, Ya’acov & Zvi Gilula. (1993). Analysis of Contingency Tables by Correspondence Models Subject to Order Constraints. Journal of the American Statistical Association. 88(424). 1380–1387. 36 indexed citations
18.
Assaf, David, Moshe Pollak, & Ya’acov Ritov. (1992). A New Look at Warning and Action Lines of Surveillance Schemes. Journal of the American Statistical Association. 87(419). 889–895. 6 indexed citations
19.
Haviv, Moshe, Ya’acov Ritov, & Uriel G. Rothblum. (1992). Taylor expansions of eigenvalues of perturbed matrices with applications to spectral radii of nonnegative matrices. Linear Algebra and its Applications. 168. 159–188. 17 indexed citations
20.
Bickel, Peter J. & Ya’acov Ritov. (1988). Estimating integrated squared density derivatives. UC Berkeley. 14 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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