Thomas Steinke

5.4k citations
121 papers · 3.2k · 2 hit papers · h-index 27

Impact in

    • Privacy-Preserving Technologies in Data
    • Cryptography and Data Security
    • Stochastic Gradient Optimization Techniques
    • Adversarial Robustness in Machine Learning
    • Mobile Crowdsensing and Crowdsourcing

Papers in

Thomas Steinke

119 papers receiving 3.0k citations

Thomas Steinke's Hit Papers

A Hybrid Approach to Privacy-Preserving Federated Learning 2019 · 652 citations
6520+3+6Years since publication200400600

Peers

Thomas Steinke
Comparison fields: 5 of 181
  • Artificial Intelligence 1.5k
  • Computer Science Applications 169
  • Hardware and Architecture 168
  • Physical and Theoretical Chemistry 206
  • Health Informatics 30
Replace José Miguel Hernández-Lobato with:
José Miguel Hernández-Lobato United Kingdom
Michael S. Marshall United States
Wei Pan China
Jeremy G. Frey United Kingdom
Osvaldo Gervasi Italy
Ralph C. Merkle United States
Javier Muguerza Spain
Włodzisław Duch Poland
James Lu United States
Yaohang Li United States
Thomas Steinke relative to José Miguel Hernández-Lobato United Kingdom José Miguel Hernández-Lobato's profile →
Citations per field
00.5×4.5×
José Miguel Hernández-Lobato · 1×
Citations per year

Countries citing papers authored by Thomas Steinke

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Steinke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Thomas Steinke, 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 Thomas Steinke Line = papers co-authored together Thomas Steinke links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Hybrid Approach to Privacy-Preserving Federated Learning
Hit paper breakdown →
2019652
2
Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds
Hit paper breakdown →
2016309
3 1993157
4 2017141
5 2006141
6 2000116
7 2018102
8 199187
9 197477
10 201566
11 201655
12 201954
13 200854
14 201853
15 201052
16 201451
17 200642
18 201141
19 200138
20 200537

About Thomas Steinke

Thomas Steinke is a scholar working on Computer Networks and Communications, Artificial Intelligence, Hardware and Architecture, Information Systems and Management and Molecular Biology, having authored 121 papers that have together received 3.2k indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (29 papers), Parallel Computing and Optimization Techniques (27 papers), Advanced Data Storage Technologies (20 papers), Cryptography and Data Security (18 papers), Privacy-Preserving Technologies in Data (18 papers), Scientific Computing and Data Management (17 papers), Embedded Systems Design Techniques (7 papers) and Optimization and Search Problems (6 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Computer Science Applications (169 citations), Hardware and Architecture (168 citations), Physical and Theoretical Chemistry (206 citations) and Health Informatics (30 citations). Thomas Steinke has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Mark Bun, Rui Zhang, Stacey Truex, Ali Anwar, Yi Zhou, Heiko Ludwig, Nathalie Baracaldo, Jonathan Ullman, Cynthia Dwork and Timothy Clark. Their work appears in journals such as Journal of Cheminformatics, Chemical Physics Letters, Journal of Computational Chemistry, Journal of the American Chemical Society and The Journal of Clinical Pharmacology.

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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