Cynthia Dwork
Impact in
- Artificial Intelligence top 0.01%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Internet Traffic Analysis and Secure E-voting
- Stochastic Gradient Optimization Techniques
- Adversarial Robustness in Machine Learning
- Computer Science Applications top 0.01%
- Mobile Crowdsensing and Crowdsourcing
Papers in
-
- Cryptography and Data Security 74
- Privacy-Preserving Technologies in Data 63
- Cryptographic Implementations and Security 12
- Internet Traffic Analysis and Secure E-voting 11
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- Distributed systems and fault tolerance 38
- Optimization and Search Problems 21
- Co-authors
- Aaron Roth (7 shared papers)Moni Naor (27 shared papers)Frank McSherry (10 shared papers)Kobbi Nissim (7 shared papers)Adam Smith (7 shared papers)Danny Dolev (14 shared papers)Larry Stockmeyer (22 shared papers)Toniann Pitassi (7 shared papers)
- Journals
- Journal of the ACM (10 papers)SIAM Journal on Computing (10 papers)Lecture notes in computer science (34 papers)Communications of the ACM (3 papers)Information and Computation (3 papers)
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Cynthia Dwork
162 papers receiving 32.0k citations
Cynthia Dwork's Hit Papers
Peers
Comparison fields: 5 of 170
- Artificial Intelligence 26.8k
- Computer Science Applications 4.1k
- Health Informatics 524
- Computer Networks and Communications 6.3k
- Safety Research 2.0k
Countries citing papers authored by Cynthia Dwork
This map shows the geographic impact of Cynthia Dwork'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 Cynthia Dwork with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cynthia Dwork more than expected).
Fields of papers citing papers by Cynthia Dwork
This network shows the impact of papers produced by Cynthia Dwork. 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 Cynthia Dwork. The network helps show where Cynthia Dwork may publish in the future.
Co-authors
The 25 scholars most cited alongside Cynthia Dwork, 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 171 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Calibrating Noise to Sensitivity in Private Data Analysis Hit paper breakdown → | 2006 | 4297 |
| 2 | Differential Privacy Hit paper breakdown → | 2006 | 3635 |
| 3 | The Algorithmic Foundations of Differential Privacy Hit paper breakdown → | 2014 | 2726 |
| 4 | The Algorithmic Foundations of Differential Privacy Hit paper breakdown → | 2013 | 2364 |
| 5 | Differential Privacy: A Survey of Results Hit paper breakdown → | 2008 | 2322 |
| 6 | Fairness through awareness Hit paper breakdown → | 2012 | 1878 |
| 7 | Rank aggregation methods for the Web Hit paper breakdown → | 2001 | 1334 |
| 8 | Consensus in the presence of partial synchrony Hit paper breakdown → | 1988 | 1231 |
| 9 | Our Data, Ourselves: Privacy Via Distributed Noise Generation Hit paper breakdown → | 2006 | 1099 |
| 10 | Non-malleable cryptography Hit paper breakdown → | 1991 | 738 |
| 11 | Pricing via Processing or Combatting Junk Mail Hit paper breakdown → | 2007 | 723 |
| 12 | Wherefore art thou r3579x? Hit paper breakdown → | 2007 | 651 |
| 13 | A firm foundation for private data analysis Hit paper breakdown → | 2010 | 594 |
| 14 | Nonmalleable Cryptography Hit paper breakdown → | 2000 | 583 |
| 15 | Practical privacy Hit paper breakdown → | 2005 | 546 |
| 16 | Learning Fair Representations Hit paper breakdown → | 2013 | 451 |
| 17 | 1987 | 450 | |
| 18 | Boosting and Differential Privacy Hit paper breakdown → | 2010 | 439 |
| 19 | Differential privacy and robust statistics Hit paper breakdown → | 2009 | 373 |
| 20 | Differential privacy under continual observation Hit paper breakdown → | 2010 | 365 |
About Cynthia Dwork
Cynthia Dwork is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics, Sociology and Political Science and Information Systems, having authored 171 papers that have together received 33.8k indexed citations. Recurring topics across this work include Cryptography and Data Security (74 papers), Privacy-Preserving Technologies in Data (63 papers), Distributed systems and fault tolerance (38 papers), Complexity and Algorithms in Graphs (24 papers), Optimization and Search Problems (21 papers), Privacy, Security, and Data Protection (17 papers), Cryptographic Implementations and Security (12 papers) and Internet Traffic Analysis and Secure E-voting (11 papers). The work is most often cited by research in Artificial Intelligence (26.8k citations), Computer Science Applications (4.1k citations), Health Informatics (524 citations), Computer Networks and Communications (6.3k citations) and Safety Research (2.0k citations). Cynthia Dwork has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Aaron Roth, Moni Naor, Frank McSherry, Kobbi Nissim, Adam Smith, Danny Dolev, Larry Stockmeyer, Toniann Pitassi, Omer Reingold and Moritz Hardt. Their work appears in journals such as Journal of the ACM, SIAM Journal on Computing, Lecture notes in computer science, Communications of the ACM and Information and Computation.
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.