George A. Alvarez

13.9k total citations · 3 hit papers
141 papers, 9.1k citations indexed

About

George A. Alvarez is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, George A. Alvarez has authored 141 papers receiving a total of 9.1k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Cognitive Neuroscience, 31 papers in Computer Vision and Pattern Recognition and 15 papers in Experimental and Cognitive Psychology. Recurrent topics in George A. Alvarez's work include Visual perception and processing mechanisms (74 papers), Neural and Behavioral Psychology Studies (62 papers) and Neural dynamics and brain function (37 papers). George A. Alvarez is often cited by papers focused on Visual perception and processing mechanisms (74 papers), Neural and Behavioral Psychology Studies (62 papers) and Neural dynamics and brain function (37 papers). George A. Alvarez collaborates with scholars based in United States, France and Netherlands. George A. Alvarez's 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 and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

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... 2004 2026 2011 2018 2004 2008 2011 250 500 750

Peers

George A. Alvarez
Yuhong Jiang United States
Kyle R. Cave United States
Gordon E. Legge United States
George Sperling United States
Patrick Cavanagh United States
Dennis M. Levi United States
Barbara Anne Dosher United States
Todd S. Horowitz United States
George A. Alvarez
Citations per year, relative to George A. Alvarez George A. Alvarez (= 1×) peers James T. Enns

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
1.
Brady, Timothy F., Viola S. Störmer, & George A. Alvarez. (2016). Working memory is not fixed-capacity: More active storage capacity for real-world objects than for simple stimuli. Proceedings of the National Academy of Sciences. 113(27). 7459–7464. 159 indexed citations
2.
Cohen, Michael B., Talia Konkle, Juliana Y. Rhee, Ken Nakayama, & George A. Alvarez. (2014). Processing multiple visual objects is limited by overlap in neural channels. Proceedings of the National Academy of Sciences. 111(24). 8955–8960. 70 indexed citations
3.
Fougnie, Daryl, Timothy F. Brady, & George A. Alvarez. (2014). If at first you dont retrieve, try, try again: The role of retrieval failures in visual working memory. Journal of Vision. 14(10). 851–851. 1 indexed citations
4.
Suchow, Jordan W. & George A. Alvarez. (2014). The more you try to remember, the faster you forget: load-dependent forgetting and mnemonic overreaching. Journal of Vision. 14(10). 388–388. 1 indexed citations
5.
Fougnie, Daryl, Jordan W. Suchow, & George A. Alvarez. (2013). Gradual decay and death by natural causes in visual working memory.. Journal of Vision. 13(9). 19–19. 2 indexed citations
6.
Störmer, Viola S., Patrick Cavanagh, & George A. Alvarez. (2013). The profile of multifocal attention: surround-suppression between and within hemifields. Journal of Vision. 13(9). 1283–1283. 1 indexed citations
7.
Suchow, Jordan W., Benjamin Allen, Martin A. Nowak, & George A. Alvarez. (2013). Evolutionary dynamics of visual memory. Journal of Vision. 13(9). 20–20. 2 indexed citations
8.
Herman, L., Jordan W. Suchow, & George A. Alvarez. (2013). Frequency-Based Synesthetic Associations between Letters and Colors. Journal of Vision. 13(9). 880–880. 2 indexed citations
9.
Fougnie, Daryl, et al.. (2012). Object-based benefits without object-based representations.. Journal of Vision. 12(9). 300–300. 2 indexed citations
10.
Alvarez, George A., et al.. (2012). Estimating the quantity and quality of working memory representations with continuous report versus change detection. Journal of Vision. 12(9). 345–345. 1 indexed citations
11.
Brady, Timothy F. & George A. Alvarez. (2012). Structured representations in visual working memory: Using results from individual displays to constrain cognitive theory. Journal of Vision. 12(9). 711–711. 2 indexed citations
12.
Suchow, Jordan W. & George A. Alvarez. (2011). Which kinds of motion silence awareness of visual change?. Journal of Vision. 11(11). 734–734. 5 indexed citations
13.
Brady, Thomas J., Talia Konkle, George A. Alvarez, & Aude Oliva. (2011). Are real-world objects represented as bound units? Independent decay of object details from short-term to long-term memory. Journal of Vision. 11(11). 1289–1289. 1 indexed citations
14.
Thompson, T. W., John D. E. Gabrieli, & George A. Alvarez. (2010). Adaptive Training in Multiple Object Tracking Expands Attentional Capacity. Journal of Vision. 10(7). 308–308. 2 indexed citations
15.
Alvarez, George A., et al.. (2010). A Cost for Hemifield "Crossover" During Attentional Tracking. Journal of Vision. 10(7). 313–313. 1 indexed citations
16.
Suchow, Jordan W. & George A. Alvarez. (2010). Silent updating: cross-dimensional change suppression. Journal of Vision. 10(7). 299–299. 1 indexed citations
17.
Vul, Ed, George A. Alvarez, Joshua B. Tenenbaum, & Michael J. Black. (2009). Explaining human multiple object tracking as resource-constrained approximate inference in a dynamic probabilistic model. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 22. 1955–1963. 72 indexed citations
18.
Brady, Timothy F., Talia Konkle, & George A. Alvarez. (2008). Efficient Coding in Visual Short-Term Memory: Evidence for an Information-Limited Capacity. eScholarship (California Digital Library). 30(30). 1 indexed citations
19.
Alvarez, George A. & Steven Franconeri. (2007). How many objects can you attentively track?: Evidence for a resource-limited tracking mechanism. Journal of Vision. 7(13). 26 indexed citations
20.
Alvarez, George A., et al.. (1980). Finger wrinkling after immersion in water.. BMJ. 281(6240). 586.2–587. 13 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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