Dan Shepherd
Impact in
- Artificial Intelligence top 5%
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Neural Networks and Reservoir Computing
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- Quantum Mechanics and Applications
- Quantum many-body systems
- Quantum and electron transport phenomena
Papers in
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- Quantum Computing Algorithms and Architecture 3
- Quantum Information and Cryptography 1
- Machine Learning and Algorithms 1
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- Quantum many-body systems 1
- Quantum Mechanics and Applications 1
Dan Shepherd
3 papers receiving 350 citations
Peers
Comparison fields: 5 of 19
- Artificial Intelligence 363
- Atomic and Molecular Physics, and Optics 179
- Computational Theory and Mathematics 82
- Hardware and Architecture 12
- Statistics and Probability 7
Countries citing papers authored by Dan Shepherd
This map shows the geographic impact of Dan Shepherd'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 Dan Shepherd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Shepherd more than expected).
Fields of papers citing papers by Dan Shepherd
This network shows the impact of papers produced by Dan Shepherd. 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 Dan Shepherd. The network helps show where Dan Shepherd may publish in the future.
Co-authors
The 2 scholars most cited alongside Dan Shepherd, 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 Dan Shepherd
Dan Shepherd is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Statistics and Probability and Infectious Diseases, having authored 3 papers that have together received 375 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (3 papers), Quantum Information and Cryptography (1 paper), Machine Learning and Algorithms (1 paper), Quantum many-body systems (1 paper), Low-power high-performance VLSI design (1 paper), Quantum Mechanics and Applications (1 paper) and Markov Chains and Monte Carlo Methods (1 paper). The work is most often cited by research in Artificial Intelligence (363 citations), Atomic and Molecular Physics, and Optics (179 citations), Computational Theory and Mathematics (82 citations), Hardware and Architecture (12 citations) and Statistics and Probability (7 citations). Dan Shepherd has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Michael J. Bremner and Ashley Montanaro. Their work appears in journals such as Quantum, Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences and Physical Review Letters.
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.