Jack Doerner
Impact in
- Artificial Intelligence top 5%
- Cryptography and Data Security
- Privacy-Preserving Technologies in Data
- Cryptographic Implementations and Security
- Internet Traffic Analysis and Secure E-voting
- Stochastic Gradient Optimization Techniques
-
- Complexity and Algorithms in Graphs
Papers in
-
- Cryptography and Data Security 15
- Privacy-Preserving Technologies in Data 6
- Cryptographic Implementations and Security 2
-
- Cryptography and Residue Arithmetic 6
- Cloud Data Security Solutions 1
- Co-authors
- Abhi Shelat (10 shared papers)Yashvanth Kondi (9 shared papers)Eysa Lee (6 shared papers)David Evans (3 shared papers)Mariana Raykova (2 shared papers)Samee Zahur (2 shared papers)Adrià Gascón (2 shared papers)Borja Balle (1 shared paper)
- Journals
- Journal of Cryptology (1 paper)Lecture notes in computer science (5 papers)Warwick Research Archive Portal (University of Warwick) (1 paper)Proceedings on Privacy Enhancing Technologies (1 paper)
- Partner nations
- United StatesIsraelMexico
In The Last Decade
Jack Doerner
13 papers receiving 591 citations
Peers
Comparison fields: 5 of 42
- Artificial Intelligence 554
- Computational Theory and Mathematics 149
- Information Systems 191
- Computer Networks and Communications 95
- Health Informatics 4
Countries citing papers authored by Jack Doerner
This map shows the geographic impact of Jack Doerner'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 Jack Doerner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack Doerner more than expected).
Fields of papers citing papers by Jack Doerner
This network shows the impact of papers produced by Jack Doerner. 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 Jack Doerner. The network helps show where Jack Doerner may publish in the future.
Co-authors
The 14 scholars most cited alongside Jack Doerner, 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 | 2017 | 128 | |
| 2 | 2017 | 109 | |
| 3 | 2018 | 102 | |
| 4 | 2019 | 96 | |
| 5 | 2016 | 68 | |
| 6 | 2016 | 31 | |
| 7 | 2023 | 22 | |
| 8 | 2020 | 20 | |
| 9 | 2024 | 12 | |
| 10 | 2022 | 7 | |
| 11 | 2022 | 4 | |
| 12 | 2024 | 2 | |
| 13 | 2024 | 2 | |
| 14 | 2024 | 0 | |
| 15 | 2025 | 0 |
About Jack Doerner
Jack Doerner is a scholar working on Artificial Intelligence, Information Systems, Computational Theory and Mathematics, Computer Networks and Communications and Sociology and Political Science, having authored 15 papers that have together received 603 indexed citations. Recurring topics across this work include Cryptography and Data Security (15 papers), Privacy-Preserving Technologies in Data (6 papers), Cryptography and Residue Arithmetic (6 papers), Complexity and Algorithms in Graphs (6 papers), Cryptographic Implementations and Security (2 papers), Cloud Data Security Solutions (1 paper), Security in Wireless Sensor Networks (1 paper) and Access Control and Trust (1 paper). The work is most often cited by research in Artificial Intelligence (554 citations), Computational Theory and Mathematics (149 citations), Information Systems (191 citations), Computer Networks and Communications (95 citations) and Health Informatics (4 citations). Jack Doerner has collaborated with scholars based in United States, Israel and Mexico. Frequent co-authors include Abhi Shelat, Yashvanth Kondi, Eysa Lee, David Evans, Mariana Raykova, Samee Zahur, Adrià Gascón, Borja Balle, Phillipp Schoppmann and Jonathan Katz. Their work appears in journals such as Journal of Cryptology, Lecture notes in computer science, Warwick Research Archive Portal (University of Warwick) and Proceedings on Privacy Enhancing Technologies.
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.