Jack Raymond
Impact in
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- Theoretical and Computational Physics
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- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Neural Networks and Reservoir Computing
- Neural Networks and Applications
Papers in ⓘ
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- Theoretical and Computational Physics 6
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- Markov Chains and Monte Carlo Methods 3
- Co-authors
- David Saad (6 shared papers)Andrew D. King (4 shared papers)Helmut G. Katzgraber (2 shared papers)Kelly Boothby (3 shared papers)Federico Ricci‐Tersenghi (1 shared paper)Firas Hamze (2 shared papers)Andrea Sportiello (1 shared paper)Lenka Zdeborová (1 shared paper)
- Journals
- Physical review. E (2 papers)Journal of Statistical Physics (1 paper)Journal of Physics A Mathematical and Theoretical (1 paper)Nature Communications (1 paper)PRX Quantum (1 paper)
- Partner nations
- United KingdomHong KongUnited States
In The Last Decade
Jack Raymond
17 papers receiving 162 citations
Peers
Comparison fields: 5 of 41
- Condensed Matter Physics 37
- Artificial Intelligence 70
- Computational Mathematics 1
- Statistical and Nonlinear Physics 20
- Computational Theory and Mathematics 25
Countries citing papers authored by Jack Raymond
This map shows the geographic impact of Jack Raymond'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 Jack Raymond with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack Raymond more than expected).
Fields of papers citing papers by Jack Raymond
This network shows the impact of papers produced by Jack Raymond. 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 Jack Raymond. The network helps show where Jack Raymond may publish in the future.
Co-authors
The 25 scholars most cited alongside Jack Raymond, 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 | 2023 | 23 | |
| 2 | 2007 | 23 | |
| 3 | 2021 | 20 | |
| 4 | 2020 | 15 | |
| 5 | 2023 | 14 | |
| 6 | 2007 | 13 | |
| 7 | 2020 | 12 | |
| 8 | 2010 | 11 | |
| 9 | 2013 | 10 | |
| 10 | 2009 | 7 | |
| 11 | 2020 | 6 | |
| 12 | 2023 | 3 | |
| 13 | 2009 | 3 | |
| 14 | 2009 | 3 | |
| 15 | 2014 | 3 | |
| 16 | Show music on record : the first 100 years | 1992 | 1 |
| 17 | 2008 | 1 |
About Jack Raymond
Jack Raymond is a scholar working on Condensed Matter Physics, Statistics and Probability, Music, Computer Networks and Communications and Artificial Intelligence, having authored 17 papers that have together received 168 indexed citations. Recurring topics across this work include Theoretical and Computational Physics (6 papers), Quantum Computing Algorithms and Architecture (5 papers), Markov Chains and Monte Carlo Methods (3 papers), Error Correcting Code Techniques (3 papers), Quantum many-body systems (3 papers), Complex Network Analysis Techniques (2 papers), Bayesian Modeling and Causal Inference (2 papers) and Advanced Wireless Communication Techniques (2 papers). The work is most often cited by research in Condensed Matter Physics (37 citations), Artificial Intelligence (70 citations), Computational Mathematics (1 citation), Statistical and Nonlinear Physics (20 citations) and Computational Theory and Mathematics (25 citations). Jack Raymond has collaborated with scholars based in United Kingdom, Hong Kong and United States. Frequent co-authors include David Saad, Andrew D. King, Helmut G. Katzgraber, Kelly Boothby, Federico Ricci‐Tersenghi, Firas Hamze, Andrea Sportiello, Lenka Zdeborová, Catherine C. McGeoch and Pau Farré. Their work appears in journals such as Physical review. E, Journal of Statistical Physics, Journal of Physics A Mathematical and Theoretical, Nature Communications and PRX Quantum.
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.