J. Wray

417 total citations
14 papers, 279 citations indexed

About

J. Wray is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, J. Wray has authored 14 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 4 papers in Artificial Intelligence and 4 papers in Electrical and Electronic Engineering. Recurrent topics in J. Wray's work include Neural dynamics and brain function (6 papers), Neural Networks and Applications (4 papers) and Advanced Vision and Imaging (3 papers). J. Wray is often cited by papers focused on Neural dynamics and brain function (6 papers), Neural Networks and Applications (4 papers) and Advanced Vision and Imaging (3 papers). J. Wray collaborates with scholars based in United States, United Kingdom and Hong Kong. J. Wray's co-authors include Gerald M. Edelman, Michele Rucci, Alan V. Whitmore, Gesine Reinert, Charlotte M. Deane, Gary Green, Giulio Tononi, Olaf Sporns, Paul F. M. J. Verschure and Terrence Mak and has published in prestigious journals such as BMC Bioinformatics, IEEE Transactions on Robotics and Automation and Robotics and Autonomous Systems.

In The Last Decade

J. Wray

13 papers receiving 262 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J. Wray United States 7 72 44 33 31 30 14 279
Long Ma China 11 41 0.6× 40 0.9× 39 1.2× 11 0.4× 12 0.4× 41 326
Jianguo Xin China 13 274 3.8× 132 3.0× 60 1.8× 27 0.9× 43 1.4× 82 506
Pranab Banerjee India 9 54 0.8× 11 0.3× 15 0.5× 21 0.7× 30 1.0× 30 280
J. M. Lloyd United States 5 88 1.2× 37 0.8× 40 1.2× 70 2.3× 14 0.5× 7 384
Santanu Kumar Nayak India 9 101 1.4× 31 0.7× 20 0.6× 7 0.2× 11 0.4× 29 342
Wei Dong China 11 35 0.5× 38 0.9× 51 1.5× 50 1.6× 2 0.1× 63 429
Amihai Meiri Israel 11 28 0.4× 38 0.9× 90 2.7× 36 1.2× 42 1.4× 40 479
Jaime F. Cárdenas‐García United States 12 45 0.6× 48 1.1× 68 2.1× 17 0.5× 50 1.7× 59 401
Divya Sharma India 14 187 2.6× 76 1.7× 142 4.3× 46 1.5× 9 0.3× 43 409

Countries citing papers authored by J. Wray

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of J. Wray

This figure shows the co-authorship network connecting the top 25 collaborators of J. Wray. A scholar is included among the top collaborators of J. Wray based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. Wray. J. Wray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Wray, J. & Alan V. Whitmore. (2021). Network-Driven Drug Discovery. Methods in molecular biology. 2390. 177–190. 1 indexed citations
2.
Whitmore, Alan V., et al.. (2019). Measuring rank robustness in scored protein interaction networks. BMC Bioinformatics. 20(1). 446–446. 42 indexed citations
3.
4.
Rucci, Michele, J. Wray, & Gerald M. Edelman. (2002). Spatial localization and the refinement of orienting behavior: What can be learned from the barn owl?. 74. 253–258. 1 indexed citations
5.
Rucci, Michele, J. Wray, & Gerald M. Edelman. (2002). Adaptation of orienting behavior: from the barn owl to a robotic system. 17. 91–93. 3 indexed citations
6.
Rucci, Michele, J. Wray, Giulio Tononi, & Gerald M. Edelman. (2002). A robotic system emulating the adaptive orienting behavior of the barn owl. 1. 443–448. 3 indexed citations
7.
Rucci, Michele, J. Wray, & Gerald M. Edelman. (2000). Robust localization of auditory and visual targets in a robotic barn owl. Robotics and Autonomous Systems. 30(1-2). 181–193. 12 indexed citations
8.
Rucci, Michele, Gerald M. Edelman, & J. Wray. (1999). Adaptation of orienting behavior: from the barn owl to a robotic system. IEEE Transactions on Robotics and Automation. 15(1). 96–110. 21 indexed citations
9.
Verschure, Paul F. M. J., J. Wray, Olaf Sporns, Giulio Tononi, & Gerald M. Edelman. (1995). Multilevel analysis of classical conditioning in a behaving real world artifact. Robotics and Autonomous Systems. 16(2-4). 247–265. 20 indexed citations
10.
Wray, J. & Gary Green. (1991). Analysis of networks that have learnt control problems. 261–265. 7 indexed citations
11.
Wray, J. & Gary Green. (1991). How Neural Networks Work : The Mathematics of Networks Used to Solve Standard Engineering Problems. 2311–2313. 2 indexed citations
12.
Wray, J. & Gary Green. (1991). The practical use of artificial networks: an investigation using Taylor series expansions of the network equations. 995 vol.2–995 vol.2. 3 indexed citations
13.
Wray, J., et al.. (1969). Refractive Index of Several Glasses as a Function of Wavelength and Temperature*. Journal of the Optical Society of America. 59(6). 774–774. 155 indexed citations
14.
Wray, J., et al.. (1951). Antiviral chemotherapy. V. Further report on flavonoids.. PubMed. 9(4). 236–42. 9 indexed citations

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.

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