Shimon Edelman

8.6k total citations · 2 hit papers
152 papers, 5.2k citations indexed

About

Shimon Edelman is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Shimon Edelman has authored 152 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Cognitive Neuroscience, 38 papers in Computer Vision and Pattern Recognition and 38 papers in Artificial Intelligence. Recurrent topics in Shimon Edelman's work include Visual perception and processing mechanisms (38 papers), Neural dynamics and brain function (33 papers) and Face Recognition and Perception (29 papers). Shimon Edelman is often cited by papers focused on Visual perception and processing mechanisms (38 papers), Neural dynamics and brain function (33 papers) and Face Recognition and Perception (29 papers). Shimon Edelman collaborates with scholars based in United States, Israel and United Kingdom. Shimon Edelman's co-authors include HH Bülthoff, Tomaso Poggio, Manfred Fahle, Tamar Flash, Michael J. Tarr, Rafael Malach, Nathan Intrator, Oren Kolodny, Y Itzchak and Kalanit Grill‐Spector and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Shimon Edelman

144 papers receiving 4.9k citations

Hit Papers

A network that learns to recognize three-dimensional objects 1990 2026 2002 2014 1990 1992 200 400 600

Peers

Shimon Edelman
Comparison fields: 5 of 152
  • Cognitive Neuroscience 3.2k
  • Computer Vision and Pattern Recognition 1.6k
  • Artificial Intelligence 809
  • Experimental and Cognitive Psychology 738
  • Developmental and Educational Psychology 550
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Citations per field, relative to Shimon Edelman
Shimon Edelman · 1×
Citations per year, relative to Shimon Edelman
Shimon Edelman · 1×

Countries citing papers authored by Shimon Edelman

Since Specialization
Citations

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

Fields of papers citing papers by Shimon Edelman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shimon Edelman

This figure shows the co-authorship network connecting the top 25 collaborators of Shimon Edelman. A scholar is included among the top collaborators of Shimon Edelman 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 Shimon Edelman. Shimon Edelman 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
# Work Indexed citations
1
Dynamical Emergence of Phenomenal Consciousness: an Outline of a Theory.
1
2 39
3 9
4
The Role of Hierarchy in Learning to Categorize Images
2
5
Machine Translation Using Automatically Inferred Construction-Based Correspondence and Language Models
7
6
Trade-off Between Capacity and Generalization in a Model of Memory
1
7 28
8
Variation Sets Facilitate Artificial Language Learning
6
9 24
10
Bridging computational, formal and psycholinguistic approaches to language
8
11 0
12
Unsupervised Context Sensitive Language Acquisition from a Large Corpus
16
13
Unsupervised Efficient Learning and Representation of Language Structure
9
14
Automatic Acquisition and Efficient Representation of Syntactic Structures
17
15 21
16
"Language is Spatial": Experimental Evidence for Image Schemas of Concrete and Abstract Verbs
32
17
A Productive, Systematic Framework for the Representation of Visual Structure
9
18 43
19
3D Object Recognition Using Unsupervised Feature Extraction
2
20
Quadtrees in Concurrent PROLOG.
3

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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