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
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- Quantum Computing Algorithms and Architecture 15
- Quantum Information and Cryptography 15
- Stochastic Gradient Optimization Techniques 1
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- Quantum Mechanics and Applications 6
- Quantum and electron transport phenomena 1
- Co-authors
- Marco Pistoia (15 shared papers)Yue Sun (9 shared papers)Romina Yalovetzky (9 shared papers)Shouvanik Chakrabarti (9 shared papers)Ruslan Shaydulin (8 shared papers)Ilya Safro (1 shared paper)Yuri Alexeev (1 shared paper)Alexey Galda (1 shared paper)
- Journals
- Scientific Reports (3 papers)Physical Review Research (2 papers)npj Quantum Information (2 papers)Nature Communications (1 paper)Nature Reviews Physics (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Dylan Herman
15 papers receiving 258 citations
Dylan Herman's Hit Papers
Peers
Comparison fields: 5 of 38
- Artificial Intelligence 223
- Computational Mathematics 2
- Computational Theory and Mathematics 46
- Atomic and Molecular Physics, and Optics 78
- Acoustics and Ultrasonics 1
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 | 97 |
| 2 | 2024 | 33 | |
| 3 | 2022 | 32 | |
| 4 | 2021 | 22 | |
| 5 | 2023 | 22 | |
| 6 | 2024 | 17 | |
| 7 | 2023 | 16 | |
| 8 | 2023 | 15 | |
| 9 | 2023 | 5 | |
| 10 | 2024 | 4 | |
| 11 | 2024 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2025 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 1 |
About Dylan Herman
Dylan Herman is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics, Information Systems and Materials Chemistry, having authored 15 papers that have together received 272 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), Quantum and electron transport phenomena (1 paper), Cloud Computing and Resource Management (1 paper), Computability, Logic, AI Algorithms (1 paper) and Stochastic Gradient Optimization Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (223 citations), Computational Mathematics (2 citations), Computational Theory and Mathematics (46 citations), Atomic and Molecular Physics, and Optics (78 citations) and Acoustics and Ultrasonics (1 citation). Dylan Herman has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Marco Pistoia, Yue Sun, Romina Yalovetzky, Shouvanik Chakrabarti, Ruslan Shaydulin, Ilya Safro, Yuri Alexeev, Alexey Galda, Xiaoyuan Liu and Shaohan Hu. Their work appears in journals such as Scientific Reports, Physical Review Research, npj Quantum Information, Nature Communications and Nature Reviews Physics.
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.