Uri Stemmer
Impact in
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- Mobile Crowdsensing and Crowdsourcing
- Health Informatics top 10%
Papers in
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- Privacy-Preserving Technologies in Data 22
- Cryptography and Data Security 17
- Machine Learning and Algorithms 6
- Adversarial Robustness in Machine Learning 3
- Internet Traffic Analysis and Secure E-voting 3
- Stochastic Gradient Optimization Techniques 3
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- Complexity and Algorithms in Graphs 6
- Co-authors
- Kobbi Nissim (15 shared papers)Amos Beimel (7 shared papers)Mark Bun (3 shared papers)Jelani Nelson (4 shared papers)Jonathan Ullman (2 shared papers)Adam Smith (2 shared papers)Thomas Steinke (2 shared papers)Raef Bassily (1 shared paper)
- Journals
- Algorithmica (2 papers)Journal of Machine Learning Research (2 papers)Theory of Computing (1 paper)ACM Transactions on Algorithms (1 paper)Lecture notes in computer science (5 papers)
- Partner nations
- IsraelUnited States
In The Last Decade
Uri Stemmer
24 papers receiving 316 citations
Peers
Comparison fields: 5 of 38
- Computer Science Applications 67
- Health Informatics 15
- Artificial Intelligence 305
- Management Science and Operations Research 21
- Computational Theory and Mathematics 25
Countries citing papers authored by Uri Stemmer
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
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-authors
The 25 scholars most cited alongside Uri Stemmer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 55 | |
| 2 | 2018 | 54 | |
| 3 | 2013 | 45 | |
| 4 | 2019 | 27 | |
| 5 | 2016 | 26 | |
| 6 | 2021 | 26 | |
| 7 | 2013 | 21 | |
| 8 | 2019 | 17 | |
| 9 | Clustering Algorithms for the Centralized and Local Models | 2018 | 12 |
| 10 | 2021 | 7 | |
| 11 | 2015 | 6 | |
| 12 | 2023 | 4 | |
| 13 | 2021 | 4 | |
| 14 | 2024 | 3 | |
| 15 | Characterizing the Sample Complexity of Pure Private Learners | 2019 | 3 |
| 16 | 2023 | 3 | |
| 17 | 2023 | 3 | |
| 18 | 2020 | 3 | |
| 19 | Private k-Means Clustering with Stability Assumptions. | 2020 | 2 |
| 20 | The Limits of Post-Selection Generalization | 2018 | 2 |
About Uri Stemmer
Uri Stemmer is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Management Science and Operations Research and Computer Science Applications, having authored 27 papers that have together received 328 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (22 papers), Cryptography and Data Security (17 papers), Machine Learning and Algorithms (6 papers), Complexity and Algorithms in Graphs (6 papers), Adversarial Robustness in Machine Learning (3 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Stochastic Gradient Optimization Techniques (3 papers) and Mobile Crowdsensing and Crowdsourcing (2 papers). The work is most often cited by research in Computer Science Applications (67 citations), Health Informatics (15 citations), Artificial Intelligence (305 citations), Management Science and Operations Research (21 citations) and Computational Theory and Mathematics (25 citations). Uri Stemmer has collaborated with scholars based in Israel and United States. Frequent co-authors include Kobbi Nissim, Amos Beimel, Mark Bun, Jelani Nelson, Jonathan Ullman, Adam Smith, Thomas Steinke, Raef Bassily, Avichai Tendler and Yossi Matias. Their work appears in journals such as Algorithmica, Journal of Machine Learning Research, Theory of Computing, ACM Transactions on Algorithms and Lecture notes in computer science.
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.