Mark Zhandry
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 10%
- Computer Vision and Pattern Recognition
- Information Systems
- Computer Networks and Communications
- Co-authors
- Dan BonehTakashi YamakawaMehdi TibouchiKristin LauterYuval IshaiAlice SilverbergAmit SahaiIlan Komargodski
- Topics
- Cryptography and Data Security (13 papers)Cryptographic Implementations and Security (9 papers)Quantum Computing Algorithms and Architecture (8 papers)
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaJournal of the ACMAlgorithmica
- Partner nations
- United StatesJapanIsrael
In The Last Decade
Mark Zhandry
15 papers receiving 144 citations
Peers
Comparison fields: 5 of 23
- Artificial Intelligence 139
- Computational Theory and Mathematics 38
- Computer Vision and Pattern Recognition 34
- Information Systems 30
- Computer Networks and Communications 14
Countries citing papers authored by Mark Zhandry
This map shows the geographic impact of Mark Zhandry'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 Mark Zhandry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Zhandry more than expected).
Fields of papers citing papers by Mark Zhandry
This network shows the impact of papers produced by Mark Zhandry. 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 Mark Zhandry. The network helps show where Mark Zhandry may publish in the future.
Co-authorship network of co-authors of Mark Zhandry
This figure shows the co-authorship network connecting the top 25 collaborators of Mark Zhandry. A scholar is included among the top collaborators of Mark Zhandry based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark Zhandry. Mark Zhandry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 13 | |
| 6 | 12 | |
| 7 | 6 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | Anonymous Traitor Tracing: How to Embed Arbitrary Information in a Key (from Eurocrypt 2016) | 1 |
| 12 | 24 | |
| 13 | 13 | |
| 14 | Secure Signatures and Chosen Ciphertext Security in a Quantum Computing World | 8 |
| 15 | Quantum-Secure Message Authentication Codes. | 1 |
| 16 | 46 | |
| 17 | Secure Identity-Based Encryption in the Quantum Random Oracle Model | 15 |
About Mark Zhandry
Mark Zhandry is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 151 indexed citations. Recurring topics across this work include Cryptography and Data Security (13 papers), Cryptographic Implementations and Security (9 papers) and Quantum Computing Algorithms and Architecture (8 papers). The work is most often cited by research in Artificial Intelligence (139 citations), Computational Theory and Mathematics (38 citations) and Computer Vision and Pattern Recognition (34 citations). Mark Zhandry has collaborated with scholars based in United States, Japan and Israel. Frequent co-authors include Dan Boneh, Takashi Yamakawa, Mehdi Tibouchi, Kristin Lauter, Yuval Ishai, Alice Silverberg, Amit Sahai, Ilan Komargodski, Fermi Ma and Aayush Jain. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the ACM and Algorithmica.
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.