James V. Stone
Impact in
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function
- Visual perception and processing mechanisms
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Signal Processing top 2%
- Blind Source Separation Techniques
Papers in
-
- Visual perception and processing mechanisms 11
- Neural dynamics and brain function 10
- Memory and Neural Mechanisms 3
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- Blind Source Separation Techniques 6
- Co-authors
- John PorrillPaul DeanNoah PorterIain D. WilkinsonNicola M. HunkinMichael PortR. Kevin WoodRolf Kötter
- Journals
- Perception (7 papers)Proceedings of the Royal Society B Biological Sciences (4 papers)Neural Computation (4 papers)PLoS Computational Biology (3 papers)Vision Research (3 papers)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
James V. Stone
43 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 144
- Cognitive Neuroscience 842
- Signal Processing 437
- Sensory Systems 107
- Experimental and Cognitive Psychology 221
- Analytical Chemistry 153
Countries citing papers authored by James V. Stone
This map shows the geographic impact of James V. Stone'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 James V. Stone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James V. Stone more than expected).
Fields of papers citing papers by James V. Stone
This network shows the impact of papers produced by James V. Stone. 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 James V. Stone. The network helps show where James V. Stone may publish in the future.
Co-authorship network
The 25 scholars most cited alongside James V. Stone, 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 | 2015 | 13 | |
| 2 | 2014 | 11 | |
| 3 | 2013 | 8 | |
| 4 | Seeing, Second Edition: The Computational Approach to Biological Vision | 2010 | 10 |
| 5 | 2007 | 2 | |
| 6 | 2006 | 2 | |
| 7 | 2004 | 15 | |
| 8 | 2003 | 6 | |
| 9 | 2002 | 30 | |
| 10 | 2001 | 16 | |
| 11 | 2001 | 165 | |
| 12 | 2000 | 4 | |
| 13 | 2000 | 10 | |
| 14 | 1999 | 4 | |
| 15 | 1999 | 1 | |
| 16 | 1998 | 1 | |
| 17 | 1998 | 82 | |
| 18 | 1997 | 25 | |
| 19 | 1995 | 18 | |
| 20 | 1993 | 7 |
About James V. Stone
James V. Stone is a scholar working on Cognitive Neuroscience, Signal Processing, Computer Vision and Pattern Recognition, Neurology and Experimental and Cognitive Psychology, having authored 44 papers that have together received 1.7k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (11 papers), Neural dynamics and brain function (10 papers), Neural Networks and Applications (7 papers), Blind Source Separation Techniques (6 papers), Advanced Vision and Imaging (5 papers), Image Retrieval and Classification Techniques (3 papers), Color Science and Applications (3 papers) and Memory and Neural Mechanisms (3 papers). The work is most often cited by research in Cognitive Neuroscience (842 citations), Signal Processing (437 citations), Sensory Systems (107 citations), Experimental and Cognitive Psychology (221 citations) and Analytical Chemistry (153 citations). James V. Stone has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include John Porrill, Paul Dean, Noah Porter, Iain D. Wilkinson, Nicola M. Hunkin, Michael Port, R. Kevin Wood, Rolf Kötter, Stephen Isard and Stuart P. Wilson. Their work appears in journals such as Perception, Proceedings of the Royal Society B Biological Sciences, Neural Computation, PLoS Computational Biology and Vision Research.
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.