Jonathan A. Marshall

2.4k total citations · 1 hit paper
24 papers, 2.0k citations indexed

About

Jonathan A. Marshall is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Jonathan A. Marshall has authored 24 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 9 papers in Computer Vision and Pattern Recognition and 9 papers in Artificial Intelligence. Recurrent topics in Jonathan A. Marshall's work include Visual perception and processing mechanisms (16 papers), Neural dynamics and brain function (11 papers) and Neural Networks and Applications (9 papers). Jonathan A. Marshall is often cited by papers focused on Visual perception and processing mechanisms (16 papers), Neural dynamics and brain function (11 papers) and Neural Networks and Applications (9 papers). Jonathan A. Marshall collaborates with scholars based in United States. Jonathan A. Marshall's co-authors include Stephen Grossberg, Dan Ariely, Christina A. Burbeck and Jannick P. Rolland and has published in prestigious journals such as Neurocomputing, Neural Networks and Journal of the Optical Society of America A.

In The Last Decade

Jonathan A. Marshall

24 papers receiving 1.9k citations

Hit Papers

Neural networks for pattern recognition 1995 2026 2005 2015 1995 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan A. Marshall United States 10 675 441 354 178 175 24 2.0k
Gordon Stoll United States 9 586 0.9× 413 0.9× 303 0.9× 137 0.8× 128 0.7× 15 2.0k
Katrien Van Driessen Belgium 5 860 1.3× 265 0.6× 133 0.4× 261 1.5× 200 1.1× 5 3.2k
Robert Hecht-Nielsen United States 15 999 1.5× 354 0.8× 139 0.4× 307 1.7× 170 1.0× 40 2.0k
Matthew Kabrisky United States 17 665 1.0× 389 0.9× 121 0.3× 150 0.8× 158 0.9× 54 1.5k
Habiboulaye Amadou Boubacar France 3 798 1.2× 477 1.1× 181 0.5× 133 0.7× 159 0.9× 6 1.8k
Andrew R. Webb United Kingdom 11 631 0.9× 505 1.1× 98 0.3× 159 0.9× 216 1.2× 24 1.7k
Theofanis Sapatinas Cyprus 20 585 0.9× 874 2.0× 141 0.4× 206 1.2× 265 1.5× 61 2.9k
Tom White United Kingdom 4 855 1.3× 987 2.2× 174 0.5× 189 1.1× 232 1.3× 7 2.9k
Filip Mulier United States 8 906 1.3× 390 0.9× 94 0.3× 279 1.6× 190 1.1× 10 1.9k
Lawrence D. Jackel United States 7 1.1k 1.6× 1.0k 2.3× 110 0.3× 176 1.0× 209 1.2× 8 2.5k

Countries citing papers authored by Jonathan A. Marshall

Since Specialization
Citations

This map shows the geographic impact of Jonathan A. Marshall'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 Jonathan A. Marshall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan A. Marshall more than expected).

Fields of papers citing papers by Jonathan A. Marshall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan A. Marshall. 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 Jonathan A. Marshall. The network helps show where Jonathan A. Marshall may publish in the future.

Co-authorship network of co-authors of Jonathan A. Marshall

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan A. Marshall. A scholar is included among the top collaborators of Jonathan A. Marshall 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 Jonathan A. Marshall. Jonathan A. Marshall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Marshall, Jonathan A., et al.. (2000). CURVED TRAJECTORY PREDICTION USING A SELF-ORGANIZING NEURAL NETWORK. International Journal of Neural Systems. 10(1). 59–70. 5 indexed citations
3.
Marshall, Jonathan A., et al.. (2000). Neural model of temporal and stochastic properties of binocular rivalry. Neurocomputing. 32-33. 843–853. 47 indexed citations
4.
Marshall, Jonathan A., et al.. (1999). Models of receptive-field dynamics in visual cortex. Visual Neuroscience. 16(6). 1055–1081. 6 indexed citations
5.
Marshall, Jonathan A.. (1998). Motion perception: self-organization. MIT Press eBooks. 589–591. 3 indexed citations
6.
Marshall, Jonathan A., et al.. (1998). Generalization and exclusive allocation of credit in unsupervised category learning. Network Computation in Neural Systems. 9(2). 279–302. 2 indexed citations
7.
Marshall, Jonathan A., et al.. (1998). Generalization and exclusive allocation of credit in unsupervised category learning. Network Computation in Neural Systems. 9(2). 279–302. 5 indexed citations
8.
Marshall, Jonathan A., et al.. (1996). Occlusion edge blur: a cue to relative visual depth. Journal of the Optical Society of America A. 13(4). 681–681. 82 indexed citations
9.
Marshall, Jonathan A., et al.. (1996). Neural model of visual stereomatching: slant, transparency and clouds. Network Computation in Neural Systems. 7(4). 635–669. 11 indexed citations
10.
Marshall, Jonathan A., et al.. (1995). Learning to Predict Visibility and Invisibility from Occlusion Events. CogPrints (University of Southampton). 8. 816–822. 4 indexed citations
11.
Marshall, Jonathan A.. (1995). Neural networks for pattern recognition. Neural Networks. 8(3). 493–494. 1636 indexed citations breakdown →
12.
Marshall, Jonathan A., et al.. (1993). A Self-Organizing Neural Network That Learns to Detect and Represent Visual Depth from Occlusion Events. CogPrints (University of Southampton). 4 indexed citations
13.
Marshall, Jonathan A., et al.. (1992). Unsmearing Visual Motion: Development of Long-Range Horizontal Intrinsic Connections. CogPrints (University of Southampton). 5. 417–424. 17 indexed citations
14.
Marshall, Jonathan A.. (1992). <title>Unsupervised learning of contextual constraints in neural networks for simultaneous visual processing of multiple objects</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1766. 84–93. 6 indexed citations
15.
Marshall, Jonathan A.. (1991). <title>Challenges of vision theory: self-organization of neural mechanisms for stable steering of object-grouping data in visual motion perception</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1569. 200–215. 5 indexed citations
16.
Marshall, Jonathan A.. (1991). <title>Adaptive neural methods for multiplexing oriented edges</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1382. 282–291. 6 indexed citations
17.
Marshall, Jonathan A.. (1990). A self-organizing scale-sensitive neural network. 649–654 vol.3. 15 indexed citations
18.
Marshall, Jonathan A.. (1990). Self-organizing neural network for computing stereo disparity and transparency. Optical Society of America Annual Meeting. FDD6–FDD6. 1 indexed citations
19.
Marshall, Jonathan A.. (1990). Self-organizing neural networks for perception of visual motion. Neural Networks. 3(1). 45–74. 49 indexed citations
20.
Marshall, Jonathan A.. (1989). Neural networks for computational vision: motion segmentation and stereo fusion. 5 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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