Mark A. Changizi

1.7k total citations
38 papers, 1.1k citations indexed

About

Mark A. Changizi is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Cultural Studies. According to data from OpenAlex, Mark A. Changizi has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 5 papers in Artificial Intelligence and 4 papers in Cultural Studies. Recurrent topics in Mark A. Changizi's work include Visual perception and processing mechanisms (10 papers), Neural dynamics and brain function (9 papers) and Language and cultural evolution (4 papers). Mark A. Changizi is often cited by papers focused on Visual perception and processing mechanisms (10 papers), Neural dynamics and brain function (9 papers) and Language and cultural evolution (4 papers). Mark A. Changizi collaborates with scholars based in United States, Ireland and Japan. Mark A. Changizi's co-authors include Shinsuke Shimojo, Qiong Zhang, Christopher Cherniak, Qiong Zhang, Hao Ye, W. G. Hall, David M Widders, Ryota Kanai, Romi Nijhawan and Ritesh R. Kotecha and has published in prestigious journals such as The American Naturalist, Proceedings of the Royal Society B Biological Sciences and Behavioral and Brain Sciences.

In The Last Decade

Mark A. Changizi

37 papers receiving 1.1k citations

Peers

Mark A. Changizi
Comparison fields: 5 of 133
  • Cognitive Neuroscience 488
  • Social Psychology 327
  • Experimental and Cognitive Psychology 226
  • Ecology, Evolution, Behavior and Systematics 138
  • Sensory Systems 110
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Citations per field, relative to Mark A. Changizi
Mark A. Changizi · 1×
Citations per year, relative to Mark A. Changizi
Mark A. Changizi · 1×

Countries citing papers authored by Mark A. Changizi

Since Specialization
Citations

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

Fields of papers citing papers by Mark A. Changizi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark A. Changizi

This figure shows the co-authorship network connecting the top 25 collaborators of Mark A. Changizi. A scholar is included among the top collaborators of Mark A. Changizi 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 Mark A. Changizi. Mark A. Changizi 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 5
2 4
3 26
4 1
5
The Brain from 25,000 Feet: High Level Explorations of Brain Complexity, Perception, Induction and Vagueness
5
6 17
7 41
8 53
9 107
10 3
11 264
12 57
13 5
14 52
15
Universal laws for hierarchical systems
4
16 25
17 5
18 102
19 48
20 1

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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