David G. Jones
- Cognitive Neuroscience top 10%
- Cellular and Molecular Neuroscience top 10%
- Computer Vision and Pattern Recognition top 10%
- Molecular Biology
- Media Technology top 10%
- Co-authors
- Kathryn M. MurphyJitendra MalikNicole D. AndersonKevin R. DuffyBrian J. BurkettSuzanne FenstemakerMatthew L. SenjemDavid S. Knopman
- Topics
- Visual perception and processing mechanisms (10 papers)Neuroscience and Neuropharmacology Research (9 papers)Neural dynamics and brain function (5 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
David G. Jones
22 papers receiving 429 citations
Peers
Comparison fields: 5 of 72
- Cognitive Neuroscience 202
- Cellular and Molecular Neuroscience 157
- Computer Vision and Pattern Recognition 133
- Molecular Biology 102
- Media Technology 37
Countries citing papers authored by David G. Jones
This map shows the geographic impact of David G. Jones'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 David G. Jones with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David G. Jones more than expected).
Fields of papers citing papers by David G. Jones
This network shows the impact of papers produced by David G. Jones. 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 David G. Jones. The network helps show where David G. Jones may publish in the future.
Co-authorship network of co-authors of David G. Jones
This figure shows the co-authorship network connecting the top 25 collaborators of David G. Jones. A scholar is included among the top collaborators of David G. Jones 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 David G. Jones. David G. Jones is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 12 | |
| 5 | 19 | |
| 6 | 28 | |
| 7 | 27 | |
| 8 | 38 | |
| 9 | 13 | |
| 10 | 28 | |
| 11 | 5 | |
| 12 | 3 | |
| 13 | 68 | |
| 14 | 14 | |
| 15 | 14 | |
| 16 | Periodicity of visual cortical modules in normal and strabismic monkeys | 2 |
| 17 | 150 | |
| 18 | A Computational Framework for Determining Stereo Correspondence from a | 1 |
| 19 | Determining Three-Dimensional Shape from Orientation and Spatial | 1 |
| 20 | 2 |
About David G. Jones
David G. Jones is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Computer Graphics and Computer-Aided Design, having authored 22 papers that have together received 449 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (10 papers), Neuroscience and Neuropharmacology Research (9 papers) and Neural dynamics and brain function (5 papers). The work is most often cited by research in Cognitive Neuroscience (202 citations), Cellular and Molecular Neuroscience (157 citations) and Developmental Neuroscience (32 citations). David G. Jones has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Kathryn M. Murphy, Jitendra Malik, Nicole D. Anderson, Kevin R. Duffy, Brian J. Burkett, Suzanne Fenstemaker, Matthew L. Senjem, David S. Knopman, J. Anthony Movshon and Jeyeon Lee. Their work appears in journals such as Vision Research, Investigative Ophthalmology & Visual Science and Journal of Nuclear Medicine.
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.