Brad Wyble

3.9k total citations
92 papers, 2.5k citations indexed

About

Brad Wyble is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Brad Wyble has authored 92 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Cognitive Neuroscience, 14 papers in Experimental and Cognitive Psychology and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Brad Wyble's work include Neural and Behavioral Psychology Studies (57 papers), Visual perception and processing mechanisms (45 papers) and Neural dynamics and brain function (32 papers). Brad Wyble is often cited by papers focused on Neural and Behavioral Psychology Studies (57 papers), Visual perception and processing mechanisms (45 papers) and Neural dynamics and brain function (32 papers). Brad Wyble collaborates with scholars based in United States, United Kingdom and China. Brad Wyble's co-authors include Howard Bowman, Mary C. Potter, Mark Nieuwenstein, Sander Martens, Garrett Swan, Carl Erick Hagmann, Hui Chen, Hui Chen, Charles L. Folk and Srivas Chennu and has published in prestigious journals such as Nature Communications, Neuron and Journal of Neuroscience.

In The Last Decade

Brad Wyble

85 papers receiving 2.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Brad Wyble United States 24 2.1k 470 227 205 150 92 2.5k
Alex O. Holcombe Australia 27 2.0k 0.9× 628 1.3× 372 1.6× 292 1.4× 104 0.7× 104 2.7k
Alejandro Lleras United States 24 1.9k 0.9× 557 1.2× 352 1.6× 247 1.2× 102 0.7× 92 2.4k
Michael Zehetleitner Germany 26 1.6k 0.8× 406 0.9× 239 1.1× 300 1.5× 95 0.6× 54 2.0k
Julie D. Golomb United States 21 1.8k 0.9× 448 1.0× 248 1.1× 208 1.0× 67 0.4× 65 2.2k
Thomas A. Busey United States 19 1.1k 0.5× 363 0.8× 222 1.0× 194 0.9× 145 1.0× 62 1.5k
Michael A. Cohen United States 25 1.6k 0.7× 448 1.0× 282 1.2× 163 0.8× 125 0.8× 72 2.3k
Casimir J. H. Ludwig United Kingdom 23 1.4k 0.7× 341 0.7× 163 0.7× 238 1.2× 150 1.0× 55 1.7k
Weiwei Zhang United States 20 2.5k 1.2× 664 1.4× 430 1.9× 179 0.9× 56 0.4× 70 2.9k
Stefanie I. Becker Australia 30 2.0k 0.9× 435 0.9× 308 1.4× 428 2.1× 166 1.1× 132 2.6k
Anne P. Hillstrom United Kingdom 15 1.5k 0.7× 420 0.9× 229 1.0× 269 1.3× 112 0.7× 29 1.7k

Countries citing papers authored by Brad Wyble

Since Specialization
Citations

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

Fields of papers citing papers by Brad Wyble

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brad Wyble

This figure shows the co-authorship network connecting the top 25 collaborators of Brad Wyble. A scholar is included among the top collaborators of Brad Wyble 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 Brad Wyble. Brad Wyble 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.
Tam, Joyce, et al.. (2025). Memorability effects emerge in incidental visual working memory.. Journal of Experimental Psychology Learning Memory and Cognition. 51(9). 1376–1391. 1 indexed citations
2.
Tam, Joyce, et al.. (2024). Conceptual information of meaningful objects is stored incidentally.. Journal of Experimental Psychology Learning Memory and Cognition. 51(1). 82–96. 1 indexed citations
3.
Tam, Joyce, et al.. (2023). Attention with or without working memory: mnemonic reselection of attended information. Trends in Cognitive Sciences. 27(12). 1111–1122. 13 indexed citations
4.
Tam, Joyce, et al.. (2022). What the Flip? What the P-N Flip Can Tell Us about Proactive Suppression. Journal of Cognitive Neuroscience. 34(11). 2100–2112. 11 indexed citations
5.
Momennejad, Ida, et al.. (2021). The Learning Salon: Toward a new participatory science. Neuron. 109(19). 3036–3040. 1 indexed citations
6.
Tam, Joyce, et al.. (2021). And like that, they were gone: A failure to remember recently attended unique faces. Psychonomic Bulletin & Review. 28(6). 2027–2034. 5 indexed citations
7.
Powell, Michael, et al.. (2020). I tried a bunch of things: The dangers of unexpected overfitting in classification of brain data. Neuroscience & Biobehavioral Reviews. 119. 456–467. 101 indexed citations
8.
Russo, Natalie, Wendy R. Kates, & Brad Wyble. (2017). Developmental changes in feature detection across time: Evidence from the attentional blink. Journal of Experimental Child Psychology. 164. 32–44. 3 indexed citations
9.
Chen, Hui, Garrett Swan, & Brad Wyble. (2015). Prolonged focal attention without binding: Tracking a ball for half a minute without remembering its color. Cognition. 147. 144–148. 28 indexed citations
10.
Chen, Hui & Brad Wyble. (2014). Encoding suppression: Linking spatial cueing costs to the attentional blink. Journal of Vision. 14(10). 1037–1037. 1 indexed citations
11.
Swan, Garrett & Brad Wyble. (2014). The Binding Pool model of VWM: A model for storing individuated objects in a shared resource pool. Journal of Vision. 14(10). 160–160. 1 indexed citations
12.
Potter, Mary C., et al.. (2013). Detecting meaning in RSVP at 13 ms per picture. Springer US. 3 indexed citations
13.
Potter, Mary C., et al.. (2013). Detecting meaning in RSVP at 13 ms per picture. Attention Perception & Psychophysics. 76(2). 270–279. 273 indexed citations
14.
Wyble, Brad, et al.. (2011). Target detection at 50 or 33 ms/picture in RSVP. Journal of Vision. 11(11). 275–275. 1 indexed citations
15.
Chennu, Srivas, Howard Bowman, & Brad Wyble. (2011). Fortunate Conjunctions Revived: Feature Binding with the 2f-ST2 Model. Cognitive Science. 33(33). 5 indexed citations
16.
Wyble, Brad, Mary C. Potter, & Marcelo G. Mattar. (2011). RSVP in orbit: Identification of single and dual targets in motion. Attention Perception & Psychophysics. 74(3). 553–562. 2 indexed citations
17.
Bowman, Howard, et al.. (2009). The inuence of target discriminability on the time course of attentional selection. eScholarship (California Digital Library). 31(31). 1 indexed citations
18.
Wyble, Brad, et al.. (2008). Modelling the formation of attentional episodes: it's about time. Perception. 37. 45–45. 2 indexed citations
19.
Bowman, Howard & Brad Wyble. (2007). The simultaneous type, serial token model of temporal attention and working memory.. Psychological Review. 114(1). 38–70. 238 indexed citations
20.
Su, Li, Howard Bowman, & Brad Wyble. (2005). Symbolic Encoding of Neural Networks using Communicating Automata with Applications to Verification of Neural Network Based Controllers. Kent Academic Repository (University of Kent). 1 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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