Uri Stemmer

1.0k total citations
19 papers, 226 citations indexed

About

Uri Stemmer is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Uri Stemmer has authored 19 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 2 papers in Computer Networks and Communications. Recurrent topics in Uri Stemmer's work include Privacy-Preserving Technologies in Data (16 papers), Cryptography and Data Security (11 papers) and Machine Learning and Algorithms (5 papers). Uri Stemmer is often cited by papers focused on Privacy-Preserving Technologies in Data (16 papers), Cryptography and Data Security (11 papers) and Machine Learning and Algorithms (5 papers). Uri Stemmer collaborates with scholars based in Israel and United States. Uri Stemmer's co-authors include Kobbi Nissim, Mark Bun, Jelani Nelson, Amos Beimel, Adam Smith, Jonathan Ullman, Thomas Steinke, Raef Bassily, Amir Feder and Hootan Nakhost and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Machine Learning Research and Algorithmica.

In The Last Decade

Uri Stemmer

19 papers receiving 216 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Uri Stemmer Israel	7	215	49	37	20	16	19	226
Srivatsava Ranjit Ganta United States	4	239 1.1×	37 0.8×	105 2.8×	21 1.1×	21 1.3×	5	255
Damien Desfontaines Switzerland	6	129 0.6×	16 0.3×	33 0.9×	11 0.6×	18 1.1×	9	162
Shuguo Han Singapore	8	157 0.7×	14 0.3×	15 0.4×	12 0.6×	16 1.0×	9	179
Shahab Asoodeh Canada	7	161 0.7×	16 0.3×	14 0.4×	66 3.3×	35 2.2×	26	200
Michael Zhu United States	5	116 0.5×	10 0.2×	18 0.5×	10 0.5×	11 0.7×	14	151
Bargav Jayaraman United States	5	141 0.7×	15 0.3×	17 0.5×	4 0.2×	9 0.6×	7	158
Phillipp Schoppmann United States	5	171 0.8×	7 0.1×	9 0.2×	10 0.5×	16 1.0×	11	189
Guangyuan Piao Ireland	9	116 0.5×	26 0.5×	27 0.7×	10 0.5×	10 0.6×	19	183
Jinshuo Dong United States	3	84 0.4×	7 0.1×	16 0.4×	8 0.4×	10 0.6×	7	111
Gautam Kamath United States	7	81 0.4×	6 0.1×	11 0.3×	3 0.1×	8 0.5×	19	112

Countries citing papers authored by Uri Stemmer

Since Specialization

Citations

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

Fields of papers citing papers by Uri Stemmer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uri Stemmer

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

All Works

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19 of 19 papers shown

Cohen, Edith, et al.. (2024). A Framework for Adversarial Streaming Via Differential Privacy and Difference Estimators. Algorithmica. 86(11). 3339–3394. 2 indexed citations

Cohen, Edith, Jelani Nelson, Tamás Sarlós, & Uri Stemmer. (2023). Tricking the Hashing Trick: A Tight Lower Bound on the Robustness of CountSketch to Adaptive Inputs. Proceedings of the AAAI Conference on Artificial Intelligence. 37(6). 7235–7243. 3 indexed citations

Cohen, Edith, Xin Lyu, Jelani Nelson, Tamás Sarlós, & Uri Stemmer. (2023). Optimal Differentially Private Learning of Thresholds and Quasi-Concave Optimization. 472–482. 2 indexed citations

Hoory, Shlomo, Amir Feder, Avichai Tendler, et al.. (2021). Learning and Evaluating a Differentially Private Pre-trained Language Model. 1178–1189. 22 indexed citations

Cohen, Edith, et al.. (2021). Differentially-Private Clustering of Easy Instances. arXiv (Cornell University). 2049–2059. 1 indexed citations

Feder, Amir, Avichai Tendler, Alon Cohen, et al.. (2021). Learning and Evaluating a Differentially Private Pre-trained Language Model. 21–29. 4 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, et al.. (2020). Private k-Means Clustering with Stability Assumptions.. International Conference on Artificial Intelligence and Statistics. 2518–2528. 2 indexed citations

Beimel, Amos, Kobbi Nissim, & Uri Stemmer. (2020). Learning Privately with Labeled and Unlabeled Examples. Algorithmica. 83(1). 177–215. 1 indexed citations

10.

Beimel, Amos, Kobbi Nissim, & Uri Stemmer. (2019). Characterizing the Sample Complexity of Pure Private Learners. Journal of Machine Learning Research. 20(146). 1–33. 3 indexed citations

11.

Stemmer, Uri & Kobbi Nissim. (2019). Concentration Bounds for High Sensitivity Functions Through Differential Privacy. SHILAP Revista de lepidopterología. 9(1). 1 indexed citations

12.

Bun, Mark, Jelani Nelson, & Uri Stemmer. (2019). Heavy Hitters and the Structure of Local Privacy. ACM Transactions on Algorithms. 15(4). 1–40. 24 indexed citations

13.

Nissim, Kobbi & Uri Stemmer. (2018). Clustering Algorithms for the Centralized and Local Models. 619–653. 12 indexed citations

14.

Ullman, Jonathan, Adam Smith, Kobbi Nissim, Uri Stemmer, & Thomas Steinke. (2018). The Limits of Post-Selection Generalization. Neural Information Processing Systems. 31. 6400–6409. 2 indexed citations

15.

Bun, Mark, Jelani Nelson, & Uri Stemmer. (2018). Heavy Hitters and the Structure of Local Privacy. 435–447. 51 indexed citations

16.

Beimel, Amos, Kobbi Nissim, & Uri Stemmer. (2016). . Theory of Computing. 12(1). 1–61. 22 indexed citations

17.

Bassily, Raef, Kobbi Nissim, Adam Smith, et al.. (2016). Algorithmic stability for adaptive data analysis. 1046–1059. 50 indexed citations

18.

Bun, Mark, Kobbi Nissim, & Uri Stemmer. (2015). Simultaneous Private Learning of Multiple Concepts. Journal of Machine Learning Research. 20(94). 1–34. 5 indexed citations

19.

Beimel, Amos, Kobbi Nissim, & Uri Stemmer. (2013). Characterizing the sample complexity of private learners. 97–110. 18 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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