S. Grossberg

1.6k total citations
22 papers, 1.2k citations indexed

About

S. Grossberg is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, S. Grossberg has authored 22 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 6 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in S. Grossberg's work include Visual perception and processing mechanisms (14 papers), Neural dynamics and brain function (10 papers) and Neural Networks and Applications (6 papers). S. Grossberg is often cited by papers focused on Visual perception and processing mechanisms (14 papers), Neural dynamics and brain function (10 papers) and Neural Networks and Applications (6 papers). S. Grossberg collaborates with scholars based in United States and Italy. S. Grossberg's co-authors include Néstor A. Schmajuk, Ennio Mingolla, William D. Ross, Michael E. Rudd, Tsung-Ren Huang, James R. Williamson, Gail A. Carpenter, Julia Berzhanskaya, Piers D. L. Howe and Vassilis G. Kaburlasos and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Psychological Review and Trends in Cognitive Sciences.

In The Last Decade

S. Grossberg

19 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Grossberg United States 11 993 196 152 136 129 22 1.2k
Bart De Bruyn Belgium 19 928 0.9× 114 0.6× 133 0.9× 90 0.7× 334 2.6× 193 1.8k
Daniel J. Felleman United States 12 1.4k 1.5× 374 1.9× 120 0.8× 134 1.0× 70 0.5× 17 1.7k
Shigeru Yamane Japan 10 1.3k 1.3× 173 0.9× 186 1.2× 320 2.4× 90 0.7× 31 1.5k
James A. Bednar United Kingdom 21 829 0.8× 188 1.0× 96 0.6× 152 1.1× 206 1.6× 61 1.1k
Martin Luessi United States 11 1.1k 1.1× 95 0.5× 117 0.8× 154 1.1× 55 0.4× 18 1.5k
Alan A. Stocker United States 20 1.6k 1.6× 201 1.0× 244 1.6× 347 2.6× 124 1.0× 60 2.0k
Scott L. Brincat United States 20 1.8k 1.8× 521 2.7× 105 0.7× 110 0.8× 76 0.6× 40 2.0k
Giedrius T. Buračas United States 16 1.5k 1.6× 287 1.5× 139 0.9× 180 1.3× 34 0.3× 24 1.7k
Shimon Edelman Israel 11 1.4k 1.4× 91 0.5× 273 1.8× 221 1.6× 124 1.0× 15 1.6k
Benoit R. Cottereau France 20 1.4k 1.5× 203 1.0× 71 0.5× 148 1.1× 41 0.3× 57 1.6k

Countries citing papers authored by S. Grossberg

Since Specialization
Citations

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

Fields of papers citing papers by S. Grossberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Grossberg. 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 S. Grossberg. The network helps show where S. Grossberg may publish in the future.

Co-authorship network of co-authors of S. Grossberg

This figure shows the co-authorship network connecting the top 25 collaborators of S. Grossberg. A scholar is included among the top collaborators of S. Grossberg 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 S. Grossberg. S. Grossberg 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
1.
Mingolla, Ennio, N. Andrew Browning, & S. Grossberg. (2010). Neural dynamics of visually-based object segmentation and navigation in complex environments. Journal of Vision. 8(6). 1154–1154.
2.
Grossberg, S., et al.. (2010). Probing Perceptual Antinomies with the Watercolor Illusion and Explaining How the Brain Resolves Them. PubMed. 23(4). 295–333. 8 indexed citations
3.
Grossberg, S., et al.. (2010). How does perceptual grouping synchronize quickly under realistic neural constraints?. Journal of Vision. 3(9). 757–757.
4.
Howe, Piers D. L. & S. Grossberg. (2010). A laminar cortical model of monocular and binocular interactions in depth perception. Journal of Vision. 2(7). 324–324. 2 indexed citations
5.
Grossberg, S. & Tsung-Ren Huang. (2009). ARTSCENE: A neural system for natural scene classification. Journal of Vision. 9(4). 6–6. 46 indexed citations
6.
Grossberg, S., et al.. (2005). Laminar cortical dynamics of binocular rivalry. Journal of Vision. 5(8). 1046–1046. 1 indexed citations
7.
Berzhanskaya, Julia, S. Grossberg, & Ennio Mingolla. (2004). Motion-to-Form cortical projections and the distortion of position maps.. Journal of Vision. 4(8). 573–573. 2 indexed citations
8.
Grossberg, S., et al.. (2004). A Laminar Cortical Model of Stereopsis and 3D Surface Perception: Closure and da Vinci Stereopsis. Journal of Vision. 4(8). 599–599. 7 indexed citations
9.
Grossberg, S.. (2003). Laminar Development of Receptive Fields, Maps and Columns in Visual Cortex: The Coordinating Role of the Subplate. Cerebral Cortex. 13(8). 852–863. 58 indexed citations
10.
Goodman, Philip H., Vassilis G. Kaburlasos, Gail A. Carpenter, et al.. (2003). Fuzzy ARTMAP neural network compared to linear discriminant analysis prediction of the length of hospital stay in patients with pneumonia. 748–753. 3 indexed citations
11.
Grossberg, S.. (2000). The complementary brain: unifying brain dynamics and modularity. Trends in Cognitive Sciences. 4(6). 233–246. 165 indexed citations
12.
Grossberg, S.. (2000). How hallucinations may arise from brain mechanisms of learning, attention, and volition. Journal of the International Neuropsychological Society. 6(5). 583–592. 144 indexed citations
13.
Grossberg, S. & James R. Williamson. (1999). A self-organizing neural system for learning to recognize textured scenes. Vision Research. 39(7). 1385–1406. 25 indexed citations
14.
Grossberg, S., Ennio Mingolla, & William D. Ross. (1994). A neural theory of attentive visual search: Interactions of boundary, surface, spatial, and object representations.. Psychological Review. 101(3). 470–489. 173 indexed citations
15.
Grossberg, S., et al.. (1994). Cortical dynamics of feature binding and reset: Control of visual persistence. Vision Research. 34(8). 1089–1104. 119 indexed citations
16.
Grossberg, S. & Michael E. Rudd. (1992). Cortical dynamics of visual motion perception: Short-range and long-range apparent motion.. Psychological Review. 99(1). 78–121. 70 indexed citations
17.
Carpenter, Gail A., et al.. (1992). A NEURAL NETWORK ARCHITECTURE FOR INCREMENTAL SUPERVISED LEARNING OF ANALOG MULTIDIMENSIONAL MAPS. 3. 698–713. 8 indexed citations
18.
Grossberg, S. & Néstor A. Schmajuk. (1989). Neural dynamics of adaptive timing and temporal discrimination during associative learning. Neural Networks. 2(2). 79–102. 271 indexed citations
19.
Carpenter, Gail A. & S. Grossberg. (1986). Absolutely stable learning of recognition codes by a self-organizing neural network. AIP conference proceedings. 151. 77–85. 3 indexed citations
20.
Grossberg, S.. (1967). Nonlinear difference-differential equations in prediction and learning theory.. Proceedings of the National Academy of Sciences. 58(4). 1329–1334. 76 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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