J. Wray
Impact in
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- Glass properties and applications
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- Neural dynamics and brain function
Papers in
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- Neural dynamics and brain function 8
- Co-authors
- Gerald M. Edelman (6 shared papers)Michele Rucci (5 shared papers)Alan V. Whitmore (3 shared papers)Gesine Reinert (1 shared paper)Charlotte Mary Deane (1 shared paper)Gary Green (4 shared papers)Giulio Tononi (2 shared papers)Paul F. M. J. Verschure (1 shared paper)
- Journals
- Robotics and Autonomous Systems (2 papers)Future Medicinal Chemistry (1 paper)IEEE Transactions on Robotics and Automation (1 paper)BMC Bioinformatics (1 paper)Journal of the Optical Society of America (1 paper)
- Partner nations
- United StatesUnited KingdomRussia
In The Last Decade
J. Wray
17 papers receiving 307 citations
Peers
Comparison fields: 5 of 106
- Ceramics and Composites 31
- Cognitive Neuroscience 38
- Signal Processing 20
- Computational Mechanics 33
- Atomic and Molecular Physics, and Optics 46
Countries citing papers authored by J. Wray
This map shows the geographic impact of J. Wray'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 J. Wray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Wray more than expected).
Fields of papers citing papers by J. Wray
This network shows the impact of papers produced by J. Wray. 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 J. Wray. The network helps show where J. Wray may publish in the future.
Co-authors
The 16 scholars most cited alongside J. Wray, 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 | 1969 | 166 | |
| 2 | 2019 | 50 | |
| 3 | 1995 | 31 | |
| 4 | 1999 | 27 | |
| 5 | 2000 | 16 | |
| 6 | Analysis of networks that have learnt control problems | 1991 | 10 |
| 7 | Antiviral chemotherapy. V. Further report on flavonoids. | 1951 | 9 |
| 8 | 2002 | 5 | |
| 9 | 2002 | 3 | |
| 10 | 1991 | 3 | |
| 11 | 2018 | 2 | |
| 12 | 2002 | 1 | |
| 13 | 1994 | 1 | |
| 14 | 2017 | 1 | |
| 15 | 2021 | 1 | |
| 16 | 2018 | 1 | |
| 17 | 1993 | 1 | |
| 18 | 2013 | 0 |
About J. Wray
J. Wray is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition, Cellular and Molecular Neuroscience and Artificial Intelligence, having authored 18 papers that have together received 328 indexed citations. Recurring topics across this work include Neural dynamics and brain function (8 papers), Bioinformatics and Genomic Networks (3 papers), Neural Networks and Applications (3 papers), Advanced Vision and Imaging (3 papers), Advanced Memory and Neural Computing (3 papers), Gene Regulatory Network Analysis (2 papers), Neuroscience and Neural Engineering (2 papers) and Interconnection Networks and Systems (2 papers). The work is most often cited by research in Ceramics and Composites (31 citations), Cognitive Neuroscience (38 citations), Signal Processing (20 citations), Computational Mechanics (33 citations) and Atomic and Molecular Physics, and Optics (46 citations). J. Wray has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Gerald M. Edelman, Michele Rucci, Alan V. Whitmore, Gesine Reinert, Charlotte Mary Deane, Gary Green, Giulio Tononi, Paul F. M. J. Verschure, Olaf Sporns and Andrew D. Brown. Their work appears in journals such as Robotics and Autonomous Systems, Future Medicinal Chemistry, IEEE Transactions on Robotics and Automation, BMC Bioinformatics and Journal of the Optical Society of America.
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.