Albert Yonas

3.6k total citations
108 papers, 2.5k citations indexed

About

Albert Yonas is a scholar working on Cognitive Neuroscience, Automotive Engineering and Developmental and Educational Psychology. According to data from OpenAlex, Albert Yonas has authored 108 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Cognitive Neuroscience, 43 papers in Automotive Engineering and 26 papers in Developmental and Educational Psychology. Recurrent topics in Albert Yonas's work include Visual perception and processing mechanisms (49 papers), Spatial Cognition and Navigation (43 papers) and Child and Animal Learning Development (23 papers). Albert Yonas is often cited by papers focused on Visual perception and processing mechanisms (49 papers), Spatial Cognition and Navigation (43 papers) and Child and Animal Learning Development (23 papers). Albert Yonas collaborates with scholars based in United States, Japan and Germany. Albert Yonas's co-authors include Carl E. Granrud, Martha E. Arterberry, Linda Pettersen, Eleanor J. Gibson, Lincoln G. Craton, Sherryse Corrow, Michael Kavšek, William B. Thompson, Michael A. Kuskowski and Jeffrey J. Lockman and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Albert Yonas

104 papers receiving 2.3k citations

Peers

Albert Yonas
Comparison fields: 5 of 118
  • Cognitive Neuroscience 1.6k
  • Developmental and Educational Psychology 768
  • Automotive Engineering 672
  • Social Psychology 536
  • Experimental and Cognitive Psychology 471
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Citations per field, relative to Albert Yonas
Albert Yonas · 1×
Citations per year, relative to Albert Yonas
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Countries citing papers authored by Albert Yonas

Since Specialization
Citations

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

Fields of papers citing papers by Albert Yonas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Albert Yonas

This figure shows the co-authorship network connecting the top 25 collaborators of Albert Yonas. A scholar is included among the top collaborators of Albert Yonas 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 Albert Yonas. Albert Yonas 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 1
2 5
3 2
4 31
5 23
6 8
7 29
8 10
9 6
10 25
11 2
12 55
13 6
14 10
15 12
16 46
17
What should be computed in low level vision systems
0
18 15
19 29
20
A developmental study of feature-processing strategies in letter discrimination
6

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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