Or Sheffet

1.3k total citations
25 papers, 498 citations indexed

About

Or Sheffet is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Or Sheffet has authored 25 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 8 papers in Computational Theory and Mathematics and 6 papers in Management Science and Operations Research. Recurrent topics in Or Sheffet's work include Privacy-Preserving Technologies in Data (8 papers), Cryptography and Data Security (6 papers) and Complexity and Algorithms in Graphs (6 papers). Or Sheffet is often cited by papers focused on Privacy-Preserving Technologies in Data (8 papers), Cryptography and Data Security (6 papers) and Complexity and Algorithms in Graphs (6 papers). Or Sheffet collaborates with scholars based in United States, Canada and Israel. Or Sheffet's co-authors include Avrim Blum, Jeremiah Blocki, Anupam Datta, Pranjal Awasthi, Ariel D. Procaccia, Craig Boutilier, Ioannis Caragiannis, Tyler Lu, Simi Haber and Peter Bro Miltersen and has published in prestigious journals such as Artificial Intelligence, Information Processing Letters and Combinatorics Probability Computing.

In The Last Decade

Or Sheffet

24 papers receiving 473 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Or Sheffet United States	10	285	151	125	95	81	25	498
Xiaorui Sun United States	10	164 0.6×	143 0.9×	72 0.6×	62 0.7×	40 0.5×	31	614
Mukund Sundararajan United States	10	429 1.5×	67 0.4×	35 0.3×	34 0.4×	103 1.3×	13	539
Jonathan Ullman United States	15	588 2.1×	95 0.6×	28 0.2×	113 1.2×	122 1.5×	47	749
Jamie Morgenstern United States	12	195 0.7×	119 0.8×	49 0.4×	12 0.1×	39 0.5×	32	331
Eugene Nudelman United States	6	179 0.6×	262 1.7×	134 1.1×	53 0.6×	35 0.4×	7	445
L. Elisa Celis United States	10	160 0.6×	114 0.8×	41 0.3×	25 0.3×	37 0.5×	32	389
Eithan Ephrati Israel	10	326 1.1×	230 1.5×	169 1.4×	52 0.5×	27 0.3×	16	495
Ramasuri Narayanam India	9	155 0.5×	90 0.6×	32 0.3×	31 0.3×	55 0.7×	30	499
Zhaogang Ding China	10	260 0.9×	366 2.4×	31 0.2×	67 0.7×	182 2.2×	17	954

Countries citing papers authored by Or Sheffet

Since Specialization

Citations

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

Fields of papers citing papers by Or Sheffet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Or Sheffet. 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 Or Sheffet. The network helps show where Or Sheffet may publish in the future.

Co-authorship network of co-authors of Or Sheffet

This figure shows the co-authorship network connecting the top 25 collaborators of Or Sheffet. A scholar is included among the top collaborators of Or Sheffet 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 Or Sheffet. Or Sheffet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Sheffet, Or, et al.. (2020). Private k-Means Clustering with Stability Assumptions.. International Conference on Artificial Intelligence and Statistics. 2518–2528. 2 indexed citations

Beimel, Amos, Aleksandra Korolova, Kobbi Nissim, Or Sheffet, & Uri Stemmer. (2020). The power of synergy in differential privacy: Combining a small curator with local randomizers. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 25. 1 indexed citations

Sheffet, Or. (2019). Old Techniques in Differentially Private Linear Regression.. 788–826. 3 indexed citations

Sheffet, Or, et al.. (2019). An Optimal Private Stochastic-MAB Algorithm Based on an Optimal Private Stopping Rule. arXiv (Cornell University). 5579–5588. 3 indexed citations

Sheffet, Or, et al.. (2018). Differentially Private Contextual Linear Bandits. arXiv (Cornell University). 31. 4296–4306. 8 indexed citations

Gaboardi, Marco, Ryan Rogers, & Or Sheffet. (2018). Locally Private Mean Estimation: Z-test and Tight Confidence Intervals. arXiv (Cornell University). 2545–2554. 9 indexed citations

Awasthi, Pranjal, Avrim Blum, & Or Sheffet. (2018). Improved Guarantees for Agnostic Learning of Disjunctions. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University). 359–367. 2 indexed citations

Awasthi, Pranjal, Avrim Blum, & Or Sheffet. (2018). Clustering Under Natural Stability Assumptions. Figshare.

Sheffet, Or. (2015). Differentially Private Least Squares: Estimation, Confidence and Rejecting the Null Hypothesis.. arXiv (Cornell University). 5 indexed citations

10.

Boutilier, Craig, Ioannis Caragiannis, Simi Haber, et al.. (2015). Optimal social choice functions: A utilitarian view. Artificial Intelligence. 227. 190–213. 70 indexed citations

11.

Awasthi, Pranjal, Avrim Blum, Or Sheffet, & Aravindan Vijayaraghavan. (2014). Learning Mixtures of Ranking Models. arXiv (Cornell University). 13 indexed citations

12.

Sheffet, Or. (2013). Beyond Worst-Case Analysis in Privacy and Clustering: Exploiting Explicit and Implicit Assumptions. 1 indexed citations

13.

Blocki, Jeremiah, Saranga Komanduri, Ariel D. Procaccia, & Or Sheffet. (2013). Optimizing password composition policies. 105–122. 10 indexed citations

14.

Sheffet, Or, Nina Mishra, & Samuel Ieong. (2012). Predicting Consumer Behavior in Commerce Search.. International Conference on Machine Learning. 4 indexed citations

15.

Blocki, Jeremiah, Avrim Blum, Anupam Datta, & Or Sheffet. (2012). The Johnson-Lindenstrauss Transform Itself Preserves Differential Privacy. 410–419. 69 indexed citations

16.

Miltersen, Peter Bro & Or Sheffet. (2012). Send mixed signals. 234–247. 34 indexed citations

17.

Awasthi, Pranjal, Avrim Blum, & Or Sheffet. (2011). Center-based clustering under perturbation stability. Information Processing Letters. 112(1-2). 49–54. 45 indexed citations

18.

Awasthi, Pranjal, Maria-Florina Balcan, Avrim Blum, Or Sheffet, & Santosh Vempala. (2010). On nash-equilibria of approximation-stable games. 6386. 78–89. 3 indexed citations

19.

Awasthi, Pranjal, Avrim Blum, & Or Sheffet. (2010). Stability Yields a PTAS for k-Median and k-Means Clustering. View. 309–318. 34 indexed citations

20.

Linial, Nathan, Jiřı́ Matoušek, Or Sheffet, & Gábor Tardos. (2007). Graph coloring with no large monochromatic components. Electronic Notes in Discrete Mathematics. 29. 115–122. 5 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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