Dylan Herman
Impact in
- Artificial Intelligence top 5%
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Neural Networks and Reservoir Computing
- Stochastic Gradient Optimization Techniques
Papers in
-
- Quantum Computing Algorithms and Architecture 15
- Quantum Information and Cryptography 15
- Neural Networks and Reservoir Computing 1
-
- Quantum Mechanics and Applications 6
- Co-authors
- Marco Pistoia (15 shared papers)Yue Sun (9 shared papers)Romina Yalovetzky (9 shared papers)Shouvanik Chakrabarti (9 shared papers)Ilya Safro (1 shared paper)Xiaoyuan Liu (1 shared paper)Alexey Galda (1 shared paper)Ruslan Shaydulin (8 shared papers)
- Journals
- Scientific Reports (3 papers)npj Quantum Information (2 papers)Physical Review Research (2 papers)Nature Communications (1 paper)BMC Pregnancy and Childbirth (1 paper)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Dylan Herman
18 papers receiving 326 citations
Dylan Herman's Hit Papers
Peers
Comparison fields: 5 of 58
- Artificial Intelligence 255
- Computational Mathematics 2
- Computational Theory and Mathematics 48
- Atomic and Molecular Physics, and Optics 87
- Hardware and Architecture 9
Countries citing papers authored by Dylan Herman
This map shows the geographic impact of Dylan Herman'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 Dylan Herman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dylan Herman more than expected).
Fields of papers citing papers by Dylan Herman
This network shows the impact of papers produced by Dylan Herman. 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 Dylan Herman. The network helps show where Dylan Herman may publish in the future.
Co-authors
The 25 scholars most cited alongside Dylan Herman, 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 | Quantum computing for finance Hit paper breakdown → | 2023 | 123 |
| 2 | 2024 | 34 | |
| 3 | 2022 | 34 | |
| 4 | 2021 | 28 | |
| 5 | 2023 | 24 | |
| 6 | 2023 | 20 | |
| 7 | 2024 | 18 | |
| 8 | 2023 | 16 | |
| 9 | 2021 | 15 | |
| 10 | 2023 | 6 | |
| 11 | 2024 | 5 | |
| 12 | 2021 | 4 | |
| 13 | 2024 | 4 | |
| 14 | 2020 | 3 | |
| 15 | 2025 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 1 |
About Dylan Herman
Dylan Herman is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics, Sociology and Political Science and Information Systems, having authored 18 papers that have together received 340 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (15 papers), Quantum Information and Cryptography (15 papers), Quantum Mechanics and Applications (6 papers), Quantum-Dot Cellular Automata (3 papers), Computability, Logic, AI Algorithms (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper), Cloud Computing and Resource Management (1 paper) and Neural Networks and Reservoir Computing (1 paper). The work is most often cited by research in Artificial Intelligence (255 citations), Computational Mathematics (2 citations), Computational Theory and Mathematics (48 citations), Atomic and Molecular Physics, and Optics (87 citations) and Hardware and Architecture (9 citations). Dylan Herman has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Marco Pistoia, Yue Sun, Romina Yalovetzky, Shouvanik Chakrabarti, Ilya Safro, Xiaoyuan Liu, Alexey Galda, Ruslan Shaydulin, Yuri Alexeev and Pierre Minssen. Their work appears in journals such as Scientific Reports, npj Quantum Information, Physical Review Research, Nature Communications and BMC Pregnancy and Childbirth.
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.