Marc Kaplan
Impact in
- Artificial Intelligence top 10%
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
- Logic, programming, and type systems
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
Papers in
-
- Quantum Computing Algorithms and Architecture 9
- Quantum Information and Cryptography 6
- Cryptography and Data Security 2
-
- Network Traffic and Congestion Control 3
- Co-authors
- Jeffrey D. Ullman (2 shared papers)A. S. Majumdar (1 shared paper)Tanumoy Pramanik (1 shared paper)Sophie Laplante (4 shared papers)Shay Kutten (3 shared papers)I. Gopal (1 shared paper)Israel Cidon (1 shared paper)Jérémie Roland (1 shared paper)
- Journals
- Quantum Information and Computation (2 papers)IEEE photonics journal (1 paper)npj Quantum Information (1 paper)Physical Review Letters (1 paper)Journal of the ACM (1 paper)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Marc Kaplan
17 papers receiving 241 citations
Peers
Comparison fields: 5 of 28
- Artificial Intelligence 189
- Hardware and Architecture 36
- Software 20
- Atomic and Molecular Physics, and Optics 114
- Computational Theory and Mathematics 60
Countries citing papers authored by Marc Kaplan
This map shows the geographic impact of Marc Kaplan'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 Marc Kaplan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Kaplan more than expected).
Fields of papers citing papers by Marc Kaplan
This network shows the impact of papers produced by Marc Kaplan. 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 Marc Kaplan. The network helps show where Marc Kaplan may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Kaplan, 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 | 2014 | 74 | |
| 2 | 1980 | 38 | |
| 3 | 1995 | 32 | |
| 4 | 1978 | 26 | |
| 5 | 2011 | 23 | |
| 6 | 2009 | 21 | |
| 7 | 2023 | 12 | |
| 8 | 2003 | 9 | |
| 9 | 2011 | 8 | |
| 10 | 2022 | 7 | |
| 11 | 1995 | 6 | |
| 12 | 2002 | 6 | |
| 13 | 2011 | 3 | |
| 14 | 2024 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2025 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2024 | 0 | |
| 19 | 2005 | 0 |
About Marc Kaplan
Marc Kaplan is a scholar working on Artificial Intelligence, Computer Networks and Communications, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics and Electrical and Electronic Engineering, having authored 19 papers that have together received 273 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (9 papers), Quantum Information and Cryptography (6 papers), Quantum Mechanics and Applications (4 papers), Complexity and Algorithms in Graphs (3 papers), Network Traffic and Congestion Control (3 papers), Advanced Optical Network Technologies (2 papers), Cryptography and Data Security (2 papers) and Advanced MIMO Systems Optimization (2 papers). The work is most often cited by research in Artificial Intelligence (189 citations), Hardware and Architecture (36 citations), Software (20 citations), Atomic and Molecular Physics, and Optics (114 citations) and Computational Theory and Mathematics (60 citations). Marc Kaplan has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Jeffrey D. Ullman, A. S. Majumdar, Tanumoy Pramanik, Sophie Laplante, Shay Kutten, I. Gopal, Israel Cidon, Jérémie Roland, Elham Kashefi and Peter Høyer. Their work appears in journals such as Quantum Information and Computation, IEEE photonics journal, npj Quantum Information, Physical Review Letters and Journal of the ACM.
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.