Uri Stemmer
Impact in
- Computer Science Applications top 10%
- Mobile Crowdsensing and Crowdsourcing
Papers in
-
- Privacy-Preserving Technologies in Data 16
- Cryptography and Data Security 11
- Machine Learning and Algorithms 5
- Stochastic Gradient Optimization Techniques 3
- Adversarial Robustness in Machine Learning 3
-
- Complexity and Algorithms in Graphs 4
- Co-authors
- Kobbi Nissim (10 shared papers)Mark Bun (3 shared papers)Jelani Nelson (4 shared papers)Amos Beimel (5 shared papers)Adam Smith (2 shared papers)Jonathan Ullman (2 shared papers)Thomas Steinke (2 shared papers)Raef Bassily (1 shared paper)
- Journals
- Algorithmica (2 papers)Journal of Machine Learning Research (2 papers)ACM Transactions on Algorithms (1 paper)Theory of Computing (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- IsraelUnited States
In The Last Decade
Uri Stemmer
19 papers receiving 216 citations
Peers
Comparison fields: 5 of 35
- Computer Science Applications 49
- Health Informatics 10
- Artificial Intelligence 215
- Management Science and Operations Research 16
- Statistics and Probability 10
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 22 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
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 51 | |
| 2 | 2016 | 50 | |
| 3 | 2019 | 24 | |
| 4 | 2016 | 22 | |
| 5 | 2021 | 22 | |
| 6 | 2013 | 18 | |
| 7 | Clustering Algorithms for the Centralized and Local Models | 2018 | 12 |
| 8 | 2015 | 5 | |
| 9 | 2021 | 4 | |
| 10 | Characterizing the Sample Complexity of Pure Private Learners | 2019 | 3 |
| 11 | 2023 | 3 | |
| 12 | Private k-Means Clustering with Stability Assumptions. | 2020 | 2 |
| 13 | The Limits of Post-Selection Generalization | 2018 | 2 |
| 14 | 2023 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2020 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2021 | 1 |
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 19 papers that have together received 226 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (16 papers), Cryptography and Data Security (11 papers), Machine Learning and Algorithms (5 papers), Complexity and Algorithms in Graphs (4 papers), Stochastic Gradient Optimization Techniques (3 papers), Adversarial Robustness in Machine Learning (3 papers), Advanced Bandit Algorithms Research (2 papers) and Mobile Crowdsensing and Crowdsourcing (2 papers). The work is most often cited by research in Computer Science Applications (49 citations), Health Informatics (10 citations), Artificial Intelligence (215 citations), Management Science and Operations Research (16 citations) and Statistics and Probability (10 citations). Uri Stemmer has collaborated with scholars based in Israel and United States. Frequent co-authors include Kobbi Nissim, Mark Bun, Jelani Nelson, Amos Beimel, Adam Smith, Jonathan Ullman, Thomas Steinke, Raef Bassily, Edith Cohen and Avinatan Hassidim. Their work appears in journals such as Algorithmica, Journal of Machine Learning Research, ACM Transactions on Algorithms, Theory of Computing and SHILAP Revista de lepidopterología.
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.