Jack Doerner
Impact in
- Artificial Intelligence top 5%
- Cryptography and Data Security
- Privacy-Preserving Technologies in Data
- Stochastic Gradient Optimization Techniques
- Internet Traffic Analysis and Secure E-voting
- Cryptographic Implementations and Security
- Information Systems top 5%
- Blockchain Technology Applications and Security
- Cloud Data Security Solutions
Papers in
-
- Cryptography and Data Security 9
- Privacy-Preserving Technologies in Data 5
- Stochastic Gradient Optimization Techniques 1
- Cryptographic Implementations and Security 1
- Internet Traffic Analysis and Secure E-voting 1
-
- Complexity and Algorithms in Graphs 3
- Co-authors
- Abhi ShelatEysa LeeYashvanth KondiDavid EvansMariana RaykovaSamee ZahurAdrià GascónPhillipp Schoppmann
- Journals
- Journal of Cryptology (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United StatesMexicoIsrael
In The Last Decade
Jack Doerner
9 papers receiving 366 citations
Peers
Comparison fields: 5 of 38
- Artificial Intelligence 341
- Information Systems 122
- Computational Theory and Mathematics 62
- Computer Networks and Communications 63
- Signal Processing 17
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-authorship network
The 12 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 | 2024 | 6 | |
| 2 | 2023 | 13 | |
| 3 | 2022 | 5 | |
| 4 | 2019 | 64 | |
| 5 | 2018 | 63 | |
| 6 | 2017 | 105 | |
| 7 | 2017 | 59 | |
| 8 | 2016 | 40 | |
| 9 | 2016 | 22 |
About Jack Doerner
Jack Doerner is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Computer Networks and Communications and Sociology and Political Science, having authored 9 papers that have together received 377 indexed citations. Recurring topics across this work include Cryptography and Data Security (9 papers), Privacy-Preserving Technologies in Data (5 papers), Complexity and Algorithms in Graphs (3 papers), Cryptography and Residue Arithmetic (3 papers), Stochastic Gradient Optimization Techniques (1 paper), Cryptographic Implementations and Security (1 paper), Blockchain Technology Applications and Security (1 paper) and Internet Traffic Analysis and Secure E-voting (1 paper). The work is most often cited by research in Artificial Intelligence (341 citations), Information Systems (122 citations), Computational Theory and Mathematics (62 citations), Computer Networks and Communications (63 citations) and Signal Processing (17 citations). Jack Doerner has collaborated with scholars based in United States, Mexico and Israel. Frequent co-authors include Abhi Shelat, Eysa Lee, Yashvanth Kondi, David Evans, Mariana Raykova, Samee Zahur, Adrià Gascón, Phillipp Schoppmann, Borja Balle and Jonathan Katz. Their work appears in journals such as Journal of Cryptology and SHILAP Revista de lepidopterología.
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.