Thomas Steinke

5.3k citations
103 papers · 2.3k · 1 hit paper · h-index 25

Impact in

Papers in

Thomas Steinke

98 papers receiving 2.2k citations

Thomas Steinke's Hit Papers

A Hybrid Approach to Privacy-Preserving Federated Learning 2019 · 576 citations
5760+2+4Years since publication100200300400500

Peers

Thomas Steinke
Comparison fields: 5 of 173
  • Artificial Intelligence 1.0k
  • Physical and Theoretical Chemistry 198
  • Health Informatics 28
  • Computer Science Applications 111
  • Information Systems and Management 112
Replace Alan Sussman with:
Alan Sussman United States
Michael S. Marshall United States
James D. Myers United States
Govind P. Gupta India
Jie Liu China
Leslie Vogt-Maranto United States
Tim Green United Kingdom
Ralph C. Merkle United States
Teodoro Laino Switzerland
Mark P. Waller Germany
Thomas Steinke relative to Alan Sussman United States Alan Sussman's profile →
Citations per field
00.5×5.5×
Alan Sussman · 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 103 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 →
2019576
2 1993149
3 2017124
4 2000113
5 201888
6 199183
7 197471
8 201559
9 201951
10 201650
11 201849
12 201449
13 201047
14 200847
15 200639
16 201139
17 200138
18 201534
19 200531
20 198930

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 103 papers that have together received 2.3k indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (24 papers), Parallel Computing and Optimization Techniques (22 papers), Privacy-Preserving Technologies in Data (16 papers), Advanced Data Storage Technologies (15 papers), Scientific Computing and Data Management (15 papers), Cryptography and Data Security (13 papers), Embedded Systems Design Techniques (6 papers) and Advanced Chemical Physics Studies (5 papers). The work is most often cited by research in Artificial Intelligence (1.0k citations), Physical and Theoretical Chemistry (198 citations), Health Informatics (28 citations), Computer Science Applications (111 citations) and Information Systems and Management (112 citations). Thomas Steinke has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Yi Zhou, Stacey Truex, Heiko Ludwig, Rui Zhang, Nathalie Baracaldo, Ali Anwar, Timothy Clark, Jonathan Ullman, Cynthia Dwork and Adam Smith. Their work appears in journals such as Journal of Cheminformatics, Chemical Physics Letters, Journal of Computational Chemistry, BMC Bioinformatics 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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