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Frank McSherry

Active 2001–2025

58
Papers
18,907
Citations
36
h-index
42
i10-index

Citations

Citations per year for Frank McSherry1967: 1 citations1990: 1 citations2000: 1 citations2001: 10 citations2002: 21 citations2003: 35 citations2004: 45 citations2005: 72 citations2006: 130 citations2007: 140 citations2008: 209 citations2009: 210 citations2010: 307 citations2011: 332 citations2012: 508 citations2013: 574 citations2014: 580 citations2015: 682 citations2016: 743 citations2017: 785 citations2018: 907 citations2019: 1,063 citations2020: 1,282 citations2021: 1,300 citations2022: 991 citations2023: 931 citations2024: 925 citations2025: 796 citations2026: 213 citations1968–1989: no citations, so these years are not shown1991–1999: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 4,300 citing papers, 32.8% of this breakdownChina: 2,366 citing papers, 18% of this breakdownUnited Kingdom: 615 citing papers, 4.7% of this breakdownAustralia: 560 citing papers, 4.3% of this breakdownCanada: 536 citing papers, 4.1% of this breakdownGermany: 473 citing papers, 3.6% of this breakdownFrance: 388 citing papers, 3% of this breakdownHong Kong: 348 citing papers, 2.6% of this breakdownSingapore: 290 citing papers, 2.2% of this breakdownJapan: 263 citing papers, 2% of this breakdownIsrael: 259 citing papers, 2% of this breakdownIndia: 231 citing papers, 1.8% of this breakdown
0%32.8%Other 18.9%

Institutions

Fields

  • Computer Science84.1%
  • Engineering3.9%
  • Decision Sciences3.1%
  • Physics and Astronomy2.9%
  • Mathematics1.7%
  • Social Sciences1.7%
  • Other2.6%

Topics

  • Privacy-Preserving Technologies in Data20.8%
  • Cryptography and Data Security10.4%
  • Privacy, Security, and Data Protection5.1%
  • Mobile Crowdsensing and Crowdsourcing3.9%
  • Stochastic Gradient Optimization Techniques3.4%
  • Internet Traffic Analysis and Secure E-voting2.7%
  • Other53.7%

Coauthors

All papers

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  1. Calibrating Noise to Sensitivity in Private Data Analysis

    Authors: Cynthia Dwork, Frank McSherry, Kobbi Nissim, Adam D. Smith - Journal of Privacy and Confidentiality, J. Priv. Confidentiality 2006 cited by 7,028

  2. Our Data, Ourselves: Privacy Via Distributed Noise Generation

    Authors: Cynthia Dwork, Krishnaram Kenthapadi, Frank McSherry, Ilya Mironov, Moni Naor - Lecture notes in computer science, EUROCRYPT 2006 cited by 1,802

  3. Mechanism Design via Differential Privacy

    Authors: Frank McSherry, Kunal Talwar - Annual IEEE Symposium on Foundations of Computer Science (FOCS'07) 2007 cited by 1,341

  4. Naiad: a timely dataflow system

    Authors: Derek G. Murray, Frank McSherry, Rebecca Isaacs, Michael Isard, Paul Barham, Martı́n Abadi - Twenty-Fourth ACM Symposium on Operating Systems Principles, Proceedings of the Twenty-Fourth ACM Symposium on Operating Systems Principles 2013 cited by 651

  5. Differentially Private Recommender Systems: Building Privacy into the Netflix Prize Contenders

    Authors: Frank McSherry, Ilya Mironov - SIGKDD international conference on Knowledge discovery and data mining 2009 cited by 664

  6. Practical privacy: the SuLQ framework

    Authors: Avrim Blum, Cynthia Dwork, Frank McSherry, Kobbi Nissim - twenty-fourth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, PODS 2005 cited by 823

  7. Privacy integrated queries: an extensible platform for privacy-preserving data analysis

    Authors: Frank McSherry - Communications of the ACM, Commun. ACM 2009 cited by 1,124

  8. DBSP: Automatic Incremental View Maintenance for Rich Query Languages

    Authors: Mihai Budiu, Tej Chajed, Frank McSherry, Leonid Ryzhyk, Val Tannen - VLDB Endowment, Proc. VLDB Endow. 2023 cited by 26

  9. Privacy, accuracy, and consistency too: a holistic solution to contingency table release

    Authors: Boaz Barak, Kamalika Chaudhuri, Cynthia Dwork, Satyen Kale, Frank McSherry, Kunal Talwar - twenty-sixth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, PODS 2007 cited by 487

  10. Spectral Partitioning of Random Graphs

    Authors: Frank McSherry - Proceedings 42nd IEEE Symposium on Foundations of Computer Science, FOCS 2001 cited by 629

  11. The price of privacy and the limits of LP decoding

    Authors: Cynthia Dwork, Frank McSherry, Kunal Talwar - thirty-ninth annual ACM symposium on Theory of computing, STOC 2007 cited by 219

  12. A Simple and Practical Algorithm for Differentially Private Data Release

    Authors: Moritz Hardt, Katrina Ligett, Frank McSherry - NIPS 2012 cited by 552

  13. Calibrating Data to Sensitivity in Private Data Analysis

    Authors: Davide Proserpio, Sharon Goldberg, Frank McSherry - workshop on Workshop on online social networks, Proc. VLDB Endow. 2012 cited by 128

  14. Incremental, iterative data processing with timely dataflow

    Authors: Derek Gordon Murray, Frank McSherry, Michael Isard, Rebecca Isaacs, Paul Barham, Martín Abadi - Communications of the ACM, Commun. ACM 2016 cited by 37

  15. Distributed Evaluation of Subgraph Queries Using Worst-case Optimal and Low-Memory Dataflows

    Authors: Khaled Ammar, Frank McSherry, Semih Salihoglu, Manas Joglekar - VLDB Endowment, Proc. VLDB Endow. 2018 cited by 70

  16. Fast computation of low-rank matrix approximations

    Authors: Dimitris Achlioptas, Frank McSherry - Journal of the ACM, J. ACM 2001 cited by 298

  17. Spectral analysis of data

    Authors: Yossi Azar, Amos Fiat, Anna R. Karlin, Frank McSherry, Jared Saia - thirty-third annual ACM symposium on Theory of computing, STOC 2001 cited by 294

  18. Probabilistic Inference and Differential Privacy

    Authors: Oliver Williams, Frank McSherry - http://books.nips.cc/papers/files/nips23/NIPS2010_1276.pdf 2010 cited by 146

  19. On Spectral Learning of Mixtures of Distributions

    Authors: Dimitris Achlioptas, Frank McSherry - Lecture notes in computer science, COLT 2005 cited by 248

  20. A decentralized algorithm for spectral analysis

    Authors: David Kempe, Frank McSherry - Journal of Computer and System Sciences, J. Comput. Syst. Sci. 2004 cited by 181

  21. Differentially Private Combinatorial Optimization

    Authors: Anupam Gupta, Katrina Ligett, Frank McSherry, Aaron Roth, Kunal Talwar - Twenty-First Annual ACM-SIAM Symposium on Discrete Algorithms, Parameterized complexity and approximation algorithms 2009 cited by 127

  22. Explaining Outputs in Modern Data Analytics

    Authors: Zaheer Chothia, John Liagouris, Frank McSherry, Timothy Roscoe - VLDB Endowment, Proc. VLDB Endow. 2016 cited by 34

  23. Foundations of Differential Dataflow

    Authors: Martín Abadi, Frank McSherry, Gordon D. Plotkin - Lecture notes in computer science, FoSSaCS 2015 cited by 20

  24. Distributed Evaluation of Subgraph Queries Using Worstcase Optimal LowMemory Dataflows

    Authors: Khaled Ammar, Frank McSherry, Semih Salihoglu, Manas Joglekar - arXiv (Cornell University), CoRR 2018 cited by 6