Frank McSherry

19.4k citations

62 papers · 5.9k indexed · 5 hit papers · h-index 33

Impact in

Computer Science Applications top 0.2%
- Mobile Crowdsensing and Crowdsourcing
Artificial Intelligence top 0.1%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Stochastic Gradient Optimization Techniques
- Internet Traffic Analysis and Secure E-voting

Papers in

Computational Mathematics 2
Artificial Intelligence 32
- Privacy-Preserving Technologies in Data 25
- Cryptography and Data Security 17
- Internet Traffic Analysis and Secure E-voting 7

Co-authors: Kunal Talwar Ilya Mironov Cynthia Dwork Michael Isard Derek G. Murray Dimitris Achlioptas David Kempe Kobbi Nissim
Journals: Proceedings of the VLDB Endowment (7 papers)Communications of the ACM (2 papers)ACM SIGCOMM Computer Communication Review (1 paper)Journal of Computer and System Sciences (1 paper)ACM Transactions on Information and System Security (1 paper)
Partner nations: United States United Kingdom Switzerland

In The Last Decade

Frank McSherry

57 papers receiving 5.6k citations

Hit Papers

5 papers align trajectories log scale

Naiad 2013 · 462 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2013 Naiad
2009 Differentially private recommender systems
2009 Privacy integrated queries
2007 Mechanism Design via Differential Privacy
2005 Practical privacy

Peers

Countries citing papers authored by Frank McSherry

Since Specialization

Citations

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

Fields of papers citing papers by Frank McSherry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Frank McSherry, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Frank McSherry Line = papers co-authored together Frank McSherry links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Differentially Private Approximation Algorithms Figshare ·Anupam Gupta, Katrina Ligett, Frank McSherry, Aaron Roth, Kunal Talwar	2018	2
2	Distributed evaluation of subgraph queries using worst-case optimal low-memory dataflows Proceedings of the VLDB Endowment ·Khaled Ammar, Frank McSherry, Semih Salihoğlu, Manas Joglekar	2018	15
3	Faucet Kenichiro Hamanishi, Frank McSherry, Jesus Antonio Arribasplata	2016	5
4	Scalability! but at what cost? Frank McSherry, Michael Isard, Derek G. Murray	2015	147
5	Naiad Derek G. Murray, Frank McSherry, Rebecca Isaacs, Michael Isard, Paul Barham, Martı́n Abadi Hit paper breakdown →	2013	462
6	Managing large graphs on multi-cores with graph awareness USENIX Annual Technical Conference ·Vijayan Prabhakaran, Ming Wu, José Miguel Nicolau Pinto, Frank McSherry, Lidong Zhou, Maya Haridasan	2012	62
7	Probabilistic Inference and Differential Privacy Neural Information Processing Systems ·Oliver Williams, Frank McSherry	2010	51
8	Differentially Private Combinatorial Optimization Anupam Gupta, Katrina Ligett, Frank McSherry, Aaron Roth, Kunal Talwar	2010	63
9	A simple and practical algorithm for differentially private data release arXiv (Cornell University) ·Moritz Hardt, Katrina Ligett, Frank McSherry	2010	168
10	A data-parallel toolkit for information retrieval Dennis Fetterly, Frank McSherry	2010	0
11	Privacy Integrated Queries International Conference on Management of Data ·Frank McSherry	2009	33
12	Some sample programs written in DryadLINQ World Journal of Surgical Oncology ·Yuan Yu, Michael Isard, Dennis Fetterly, Mihai Budiu, Úlfar Erlingsson, Aline Borges de Carvalho, Jon Currey, Frank McSherry, Kannan Achan, 滝口邦彦	2009	7
13	Differentially private recommender systems Frank McSherry, Ilya Mironov Hit paper breakdown →	2009	422
14	Computing information retrieval performance measures efficiently in the presence of tied scores Frank McSherry, Marc Najork	2008	40
15	A decentralized algorithm for spectral analysis Journal of Computer and System Sciences ·David Kempe, Frank McSherry	2007	110
16	Consistent Weighted Sampling Mark S. Manasse, Frank McSherry, Kunal Talwar	2007	38
17	Our Data, Ourselves: Privacy via Distributed Noise Generation Cynthia Dwork, Krishnaram Kenthapadi, Frank McSherry, Ilya Mironov, Moni Naor	2006	2
18	On profit-maximizing envy-free pricing Symposium on Discrete Algorithms ·Venkatesan Guruswami, Jason D. Hartline, Anna R. Karlin, David Kempe, Claire Kenyon, Frank McSherry	2005	143
19	A uniform approach to accelerated PageRank computation Frank McSherry	2005	79
20	The Performance of Ad Hoc Networking Protocols in Highly Mobile Environments Frank McSherry, Gerome Miklau, Donald J. Patterson, Steven Swanson, (unknown)	2000	5

About Frank McSherry

Frank McSherry is a scholar working on Computational Mathematics, Artificial Intelligence, Hardware and Architecture, Information Systems and Management and Computer Networks and Communications, having authored 62 papers that have together received 5.9k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (25 papers), Cryptography and Data Security (17 papers), Advanced Database Systems and Queries (8 papers), Cloud Computing and Resource Management (8 papers), Graph Theory and Algorithms (7 papers), Distributed and Parallel Computing Systems (7 papers), Internet Traffic Analysis and Secure E-voting (7 papers) and Advanced Data Storage Technologies (7 papers). The work is most often cited by research in Computer Science Applications (775 citations), Artificial Intelligence (4.2k citations), Computational Mathematics (73 citations), Computer Networks and Communications (1.2k citations) and Information Systems (1.2k citations). Frank McSherry has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Kunal Talwar, Ilya Mironov, Cynthia Dwork, Michael Isard, Derek G. Murray, Dimitris Achlioptas, David Kempe, Kobbi Nissim, Avrim Blum and Rebecca Isaacs. Their work appears in journals such as Proceedings of the VLDB Endowment, Communications of the ACM, ACM SIGCOMM Computer Communication Review, Journal of Computer and System Sciences and ACM Transactions on Information and System Security.

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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