Corbin A. Cunningham

592 total citations
18 papers, 374 citations indexed

About

Corbin A. Cunningham is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Corbin A. Cunningham has authored 18 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in Corbin A. Cunningham's work include Neural and Behavioral Psychology Studies (9 papers), Visual Attention and Saliency Detection (6 papers) and Memory Processes and Influences (4 papers). Corbin A. Cunningham is often cited by papers focused on Neural and Behavioral Psychology Studies (9 papers), Visual Attention and Saliency Detection (6 papers) and Memory Processes and Influences (4 papers). Corbin A. Cunningham collaborates with scholars based in United States, Germany and Canada. Corbin A. Cunningham's co-authors include Howard E. Egeth, Jeremy M. Wolfe, Trafton Drew, Michael A. Yassa, Juan Acosta‐Urquidi, Gary B. Melton, Todd L. Richards, George H. Kraft, Sage Boettcher and Michael C. Hout and has published in prestigious journals such as American Journal of Clinical Nutrition, Psychological Science and Journal of Experimental Psychology Human Perception & Performance.

In The Last Decade

Corbin A. Cunningham

18 papers receiving 360 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Corbin A. Cunningham United States 10 249 52 50 38 27 18 374
Jens Madsen United States 9 241 1.0× 19 0.4× 83 1.7× 59 1.6× 18 0.7× 20 396
Garrett Swan United States 11 224 0.9× 16 0.3× 40 0.8× 57 1.5× 23 0.9× 21 342
Xuemin Wang China 6 152 0.6× 24 0.5× 36 0.7× 50 1.3× 33 1.2× 30 293
Johannes Rennig United States 10 420 1.7× 22 0.4× 85 1.7× 38 1.0× 56 2.1× 31 516
Yu Takagi Japan 6 144 0.6× 40 0.8× 46 0.9× 13 0.3× 34 1.3× 10 243
Michal Bernstein‐Eliav Israel 9 286 1.1× 43 0.8× 76 1.5× 47 1.2× 40 1.5× 10 321
Petra Hermann Hungary 11 208 0.8× 27 0.5× 52 1.0× 14 0.4× 71 2.6× 24 297
Gustaf Öqvist Seimyr Sweden 9 150 0.6× 14 0.3× 21 0.4× 33 0.9× 30 1.1× 17 347
David Hoppe Germany 10 136 0.5× 71 1.4× 24 0.5× 28 0.7× 6 0.2× 21 371
Helena Melero Spain 7 110 0.4× 15 0.3× 56 1.1× 16 0.4× 64 2.4× 15 255

Countries citing papers authored by Corbin A. Cunningham

Since Specialization
Citations

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

Fields of papers citing papers by Corbin A. Cunningham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Corbin A. Cunningham

This figure shows the co-authorship network connecting the top 25 collaborators of Corbin A. Cunningham. A scholar is included among the top collaborators of Corbin A. Cunningham 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 Corbin A. Cunningham. Corbin A. Cunningham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Cunningham, Corbin A., et al.. (2022). From Message to Expression: Exploring Non-Verbal Communication for Appearance-Constrained Robots. 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). 1193–1200. 2 indexed citations
2.
García-Álvarez, Alicia, Corbin A. Cunningham, Erin M. Spaulding, et al.. (2020). A randomized, placebo-controlled crossover trial of a decaffeinated energy drink shows no significant acute effect on mental energy. American Journal of Clinical Nutrition. 111(3). 719–727. 3 indexed citations
3.
Cunningham, Corbin A., et al.. (2019). You’re looking for what? Comparing search for familiar, nameable objects to search for unfamiliar, novel objects. Visual Cognition. 27(1). 8–20. 5 indexed citations
5.
Cunningham, Corbin A., et al.. (2018). The Power of Negative Thinking: Paradoxical but Effective Ignoring of Salient-but-Irrelevant Stimuli by a Spatial Cue. Journal of Vision. 18(10). 471–471. 5 indexed citations
6.
Cunningham, Corbin A., et al.. (2018). The power of negative thinking: Paradoxical but effective ignoring of salient-but-irrelevant stimuli with a spatial cue. Visual Cognition. 27(3-4). 199–213. 10 indexed citations
7.
Draschkow, Dejan, et al.. (2018). The lower bounds of massive memory: Investigating memory for object details after incidental encoding. Quarterly Journal of Experimental Psychology. 72(5). 1176–1182. 9 indexed citations
8.
Cunningham, Corbin A. & Howard E. Egeth. (2017). The capture of attention by entirely irrelevant pictures of calorie-dense foods. Psychonomic Bulletin & Review. 25(2). 586–595. 29 indexed citations
9.
Cunningham, Corbin A., Trafton Drew, & Jeremy M. Wolfe. (2016). Analog Computer-Aided Detection (CAD) information can be more effective than binary marks. Attention Perception & Psychophysics. 79(2). 679–690. 11 indexed citations
10.
Cunningham, Corbin A. & Howard E. Egeth. (2016). Taming the White Bear. Psychological Science. 27(4). 476–485. 108 indexed citations
11.
Cunningham, Corbin A. & Howard E. Egeth. (2016). Real World Goals Are Fickle and Volatile: Consuming High Fat Foods Reduces Distraction from Entirely Irrelevant High-Fat Foods. Journal of Vision. 16(12). 1136–1136. 1 indexed citations
12.
Wolfe, Jeremy M., et al.. (2015). You look familiar, but I don’t care: Lure rejection in hybrid visual and memory search is not based on familiarity.. Journal of Experimental Psychology Human Perception & Performance. 41(6). 1576–1587. 16 indexed citations
13.
Cunningham, Corbin A. & Howard E. Egeth. (2015). Loosening the Snare: Top-down goals overcome singleton driven attentional capture. Journal of Vision. 15(12). 320–320. 1 indexed citations
14.
Cunningham, Corbin A., Michael A. Yassa, & Howard E. Egeth. (2015). Massive memory revisited: Limitations on storage capacity for object details in visual long-term memory. Learning & Memory. 22(11). 563–566. 24 indexed citations
15.
Cunningham, Corbin A. & Jeremy M. Wolfe. (2014). The role of object categories in hybrid visual and memory search.. Journal of Experimental Psychology General. 143(4). 1585–1599. 67 indexed citations
16.
Drew, Trafton, Corbin A. Cunningham, & Jeremy M. Wolfe. (2012). When and Why Might a Computer-aided Detection (CAD) System Interfere with Visual Search? An Eye-tracking Study. Academic Radiology. 19(10). 1260–1267. 38 indexed citations
17.
Cunningham, Corbin A. & Jeremy M. Wolfe. (2012). Lions or tigers or bears: Oh my! Hybrid visual and memory search for categorical targets. Visual Cognition. 20(9). 1024–1027. 5 indexed citations
18.
Richards, Todd L., et al.. (1997). Double-Blind Study of Pulsing Magnetic Field Effects on Multiple Sclerosis. The Journal of Alternative and Complementary Medicine. 3(1). 21–29. 36 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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