Thomas Steinke
- Artificial Intelligence top 1%
- Privacy-Preserving Technologies in Data 16
- Cryptography and Data Security 13
- Health Informatics top 5%
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- Scientific Computing and Data Management 15
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- Distributed and Parallel Computing Systems 24
- Advanced Data Storage Technologies 15
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- Parallel Computing and Optimization Techniques 22
- Embedded Systems Design Techniques 6
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- Advanced Chemical Physics Studies 5
- Co-authors
- Heiko LudwigRui ZhangNathalie BaracaldoYi ZhouStacey TruexAli AnwarTimothy ClarkJonathan Ullman
- Journals
- Journal of Cheminformatics (4 papers)Chemical Physics Letters (3 papers)Journal of Computational Chemistry (2 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Thomas Steinke
98 papers receiving 2.2k citations
Hit Papers
Peers
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
Countries citing papers authored by Thomas Steinke
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2022 | 7 | |
| 3 | Leveraging Public Data for Practical Private Query Release | 2021 | 7 |
| 4 | Evading the Curse of Dimensionality in Unconstrained Private GLMs | 2021 | 5 |
| 5 | Open Problem: Information Complexity of VC Learning | 2020 | 1 |
| 6 | Differential Privacy: A Primer for a Non-Technical Audience | 2018 | 13 |
| 7 | Bridging the Gap between Computer Science and Legal Approaches to Privacy | 2018 | 24 |
| 8 | The Limits of Post-Selection Generalization | 2018 | 2 |
| 9 | 2017 | 3 | |
| 10 | 2017 | 8 | |
| 11 | 2015 | 16 | |
| 12 | A Rigorous Extension of the Schönhage-Strassen Integer Multiplication Algorithm Using Complex Interval Arithmetic. | 2013 | 1 |
| 13 | Pseudorandomness for Permutation Branching Programs Without the Group Theory. | 2012 | 15 |
| 14 | 2012 | 0 | |
| 15 | 2011 | 3 | |
| 16 | 2011 | 39 | |
| 17 | 2010 | 1 | |
| 18 | 2006 | 13 | |
| 19 | 2005 | 31 | |
| 20 | 1987 | 21 |
About Thomas Steinke
Thomas Steinke is a scholar working on Hardware and Architecture, Information Systems and Management, Computer Networks and Communications, Artificial Intelligence and Architecture, 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 Heiko Ludwig, Rui Zhang, Nathalie Baracaldo, Yi Zhou, Stacey Truex, 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 Journal of the American Chemical Society.
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.