George A. Alvarez

13.9k citations
141 papers · 9.1k indexed · 3 hit papers · h-index 46
Topics
Visual perception and processing mechanisms (74 papers)Neural and Behavioral Psychology Studies (62 papers)Neural dynamics and brain function (37 papers)

In The Last Decade

George A. Alvarez

132 papers receiving 8.8k citations

Hit Papers

The Capacity of Visual Short-Term Memory is Set Both by V...2004202620112018200420082011250500750

Peers

George A. Alvarez
Comparison fields: 5 of 169
  • Cognitive Neuroscience 7.5k
  • Experimental and Cognitive Psychology 1.7k
  • Computer Vision and Pattern Recognition 1.5k
  • Social Psychology 1.2k
  • Developmental and Educational Psychology 665
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George A. Alvarez relative to James T. Enns Canada James T. Enns's profile →
Citations per field
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Citations per year

Countries citing papers authored by George A. Alvarez

Since Specialization
Citations

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

Fields of papers citing papers by George A. Alvarez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George A. Alvarez

This figure shows the co-authorship network connecting the top 25 collaborators of George A. Alvarez. A scholar is included among the top collaborators of George A. Alvarez 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 George A. Alvarez. George A. Alvarez 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
#WorkIndexed citations
1 159
2 70
3 1
4 1
5 2
6 1
7 2
8 2
9 2
10 1
11 2
12 5
13 1
14 2
15 1
16 1
17
Explaining human multiple object tracking as resource-constrained approximate inference in a dynamic probabilistic model
72
18
Efficient Coding in Visual Short-Term Memory: Evidence for an Information-Limited Capacity
1
19
How many objects can you attentively track?: Evidence for a resource-limited tracking mechanism
26
20 13

About George A. Alvarez

George A. Alvarez is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology, having authored 141 papers that have together received 9.1k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (74 papers), Neural and Behavioral Psychology Studies (62 papers) and Neural dynamics and brain function (37 papers). The work is most often cited by research in Cognitive Neuroscience (7.5k citations), Experimental and Cognitive Psychology (1.7k citations) and Human-Computer Interaction (500 citations). George A. Alvarez has collaborated with scholars based in United States, France and Netherlands. Frequent co-authors include Timothy F. Brady, Patrick Cavanagh, Talia Konkle, Aude Oliva, Steven Franconeri, Daryl Fougnie, Viola S. Störmer, Jordan W. Suchow, Jeremy M. Wolfe and Todd S. Horowitz. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

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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