Daniel Apon
Impact in
-
- Cryptography and Data Security
- Privacy-Preserving Technologies in Data
- Cryptographic Implementations and Security
- Security and Verification in Computing
- Internet Traffic Analysis and Secure E-voting
Papers in ⓘ
-
- Limits and Structures in Graph Theory 2
-
- Complexity and Algorithms in Graphs 3
- Advanced Graph Theory Research 2
- Co-authors
- Arkady Yerukhimovich (2 shared papers)Daniel S. Roche (1 shared paper)Seung Geol Choi (1 shared paper)Dana Dachman-Soled (1 shared paper)Nico Döttling (1 shared paper)Sanjam Garg (1 shared paper)Andrew Kwong (1 shared paper)Daniel Genkin (1 shared paper)
- Journals
- Theoretical Computer Science (1 paper)Theory of Computing Systems (1 paper)arXiv (Cornell University) (1 paper)Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security (1 paper)DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) (1 paper)
- Partner nations
- United StatesDenmark
In The Last Decade
Daniel Apon
4 papers receiving 72 citations
Peers
Comparison fields: 5 of 13
- Artificial Intelligence 70
- Hardware and Architecture 8
- Information Systems 18
- Signal Processing 8
- Computational Theory and Mathematics 11
Countries citing papers authored by Daniel Apon
This map shows the geographic impact of Daniel Apon'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 Daniel Apon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Apon more than expected).
Fields of papers citing papers by Daniel Apon
This network shows the impact of papers produced by Daniel Apon. 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 Daniel Apon. The network helps show where Daniel Apon may publish in the future.
Co-authors
The 20 scholars most cited alongside Daniel Apon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
About Daniel Apon
Daniel Apon is a scholar working on Discrete Mathematics and Combinatorics, Computational Theory and Mathematics, Artificial Intelligence, Geometry and Topology and Electrical and Electronic Engineering, having authored 7 papers that have together received 80 indexed citations. Recurring topics across this work include Cryptography and Data Security (5 papers), Complexity and Algorithms in Graphs (3 papers), Cryptographic Implementations and Security (3 papers), Limits and Structures in Graph Theory (2 papers), Advanced Graph Theory Research (2 papers), Privacy-Preserving Technologies in Data (1 paper), Advanced Topology and Set Theory (1 paper) and Security and Verification in Computing (1 paper). The work is most often cited by research in Artificial Intelligence (70 citations), Hardware and Architecture (8 citations), Information Systems (18 citations), Signal Processing (8 citations) and Computational Theory and Mathematics (11 citations). Daniel Apon has collaborated with scholars based in United States and Denmark. Frequent co-authors include Arkady Yerukhimovich, Daniel S. Roche, Seung Geol Choi, Dana Dachman-Soled, Nico Döttling, Sanjam Garg, Andrew Kwong, Daniel Genkin, Ray Perlner and Alexander Nelson. Their work appears in journals such as Theoretical Computer Science, Theory of Computing Systems, arXiv (Cornell University), Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security and DROPS (Schloss Dagstuhl – Leibniz Center for Informatics).
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.