Greg Davis

7.1k total citations · 2 hit papers
52 papers, 4.1k citations indexed

About

Greg Davis is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Greg Davis has authored 52 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Cognitive Neuroscience, 7 papers in Developmental and Educational Psychology and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Greg Davis's work include Visual perception and processing mechanisms (20 papers), Neural and Behavioral Psychology Studies (19 papers) and Neural dynamics and brain function (11 papers). Greg Davis is often cited by papers focused on Visual perception and processing mechanisms (20 papers), Neural and Behavioral Psychology Studies (19 papers) and Neural dynamics and brain function (11 papers). Greg Davis collaborates with scholars based in United Kingdom, United States and Canada. Greg Davis's co-authors include Jon Driver, Simon Baron‐Cohen, Paola Ricciardelli, Emma Maxwell, Peter M. Ravdin, Laura A. Siminoff, Mary Beth Mercer, Helen L. Parker, Christoph Teufel and Jason B. Mattingley and has published in prestigious journals such as Nature, Science and Journal of Clinical Oncology.

In The Last Decade

Greg Davis

51 papers receiving 3.9k citations

Hit Papers

Gaze Perception Triggers ... 1999 2026 2008 2017 1999 2001 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Greg Davis 2.4k 831 705 603 529 52 4.1k
David A. Gutman 1.7k 0.7× 630 0.8× 468 0.7× 475 0.8× 917 1.7× 113 6.9k
Antonella Marchetti 1.1k 0.5× 156 0.2× 437 0.6× 477 0.8× 910 1.7× 215 3.4k
Maureen J. O’Sullivan 946 0.4× 452 0.5× 332 0.5× 832 1.4× 1.1k 2.2× 117 5.0k
Roberto Nicoletti 2.8k 1.2× 401 0.5× 1.1k 1.5× 827 1.4× 1.4k 2.6× 182 5.6k
Christopher T. Barry 2.3k 1.0× 397 0.5× 258 0.4× 957 1.6× 2.1k 3.9× 182 10.0k
Mary Jo Nissen 4.5k 1.9× 267 0.3× 614 0.9× 1.1k 1.8× 1.5k 2.9× 41 6.8k
Mark Rijpkema 2.3k 1.0× 123 0.1× 472 0.7× 668 1.1× 515 1.0× 120 5.6k
Stefan Scherer 437 0.2× 454 0.5× 905 1.3× 1.8k 3.0× 1.3k 2.4× 159 5.8k
Peter J. Bailey 837 0.4× 721 0.9× 1.1k 1.5× 470 0.8× 40 0.1× 144 4.8k
Marialuisa Martelli 718 0.3× 241 0.3× 551 0.8× 132 0.2× 78 0.1× 89 2.7k

Countries citing papers authored by Greg Davis

Since Specialization
Citations

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

Fields of papers citing papers by Greg Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Greg Davis

This figure shows the co-authorship network connecting the top 25 collaborators of Greg Davis. A scholar is included among the top collaborators of Greg Davis 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 Greg Davis. Greg Davis 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.
Davis, Greg, et al.. (2024). An evaluation of image enhancements in three-dimensional computed tomography baggage screening. Applied Ergonomics. 122. 104394–104394. 3 indexed citations
2.
Davis, Greg, et al.. (2022). Enhanced threat detection in three dimensions: An image-matched comparison of computed tomography and dual-view X-ray baggage screening. Applied Ergonomics. 105. 103834–103834. 5 indexed citations
3.
Davis, Greg, et al.. (2022). Attenuating the ‘attentional white bear’ effect enhances suppressive attention. Attention Perception & Psychophysics. 84(8). 2444–2460.
4.
Davis, Greg, et al.. (2021). Improved X-ray baggage screening sensitivity with ‘targetless’ search training. Cognitive Research Principles and Implications. 6(1). 33–33. 5 indexed citations
5.
Plaisted-Grant, Kate, et al.. (2020). Enhanced detection of gaze toward an object: Sociocognitive influences on visual search. Psychonomic Bulletin & Review. 28(2). 494–502. 2 indexed citations
6.
Plaisted-Grant, Kate, et al.. (2020). Attention neglects a stare-in-the-crowd: Unanticipated consequences of prediction-error coding. Cognition. 207. 104519–104519. 2 indexed citations
7.
Plaisted-Grant, Kate, et al.. (2019). Fractionating the stare-in-the-crowd effect: Two distinct, obligatory biases in search for gaze.. Journal of Experimental Psychology Human Perception & Performance. 45(8). 1015–1030. 9 indexed citations
8.
Davis, Greg, et al.. (2018). Unconscious priming dissociates ‘free choice’ from ‘spontaneous urge’ responses. Consciousness and Cognition. 60. 72–85. 5 indexed citations
9.
Davis, Greg, et al.. (2016). Target templates specify visual, not semantic, features to guide search: A marked asymmetry between seeking and ignoring. Attention Perception & Psychophysics. 78(7). 2049–2065. 10 indexed citations
10.
Manly, Tom, et al.. (2014). Unconscious Priming of Task-Switching Generalizes to an Untrained Task. PLoS ONE. 9(2). e88416–e88416. 9 indexed citations
11.
Moore, James W., Christoph Teufel, Naresh Subramaniam, Greg Davis, & Paul C. Fletcher. (2013). Attribution of Intentional Causation Influences the Perception of Observed Movements: Behavioral Evidence and Neural Correlates. Frontiers in Psychology. 4. 23–23. 24 indexed citations
12.
Teufel, Christoph, Elisabeth von dem Hagen, Kate Plaisted-Grant, et al.. (2013). What is social about social perception research?. Frontiers in Integrative Neuroscience. 6. 128–128. 13 indexed citations
13.
Teufel, Christoph, Paul C. Fletcher, & Greg Davis. (2010). Seeing other minds: attributed mental states influence perception. Trends in Cognitive Sciences. 14(8). 376–382. 138 indexed citations
14.
Teufel, Christoph, et al.. (2009). Social Cognition Modulates the Sensory Coding of Observed Gaze Direction. Current Biology. 19(15). 1274–1277. 78 indexed citations
15.
Falter, Christine M., Kate Plaisted, & Greg Davis. (2007). Visuo-spatial Processing in Autism—Testing the Predictions of Extreme Male Brain Theory. Journal of Autism and Developmental Disorders. 38(3). 507–515. 87 indexed citations
16.
Plaisted, Kate, et al.. (2006). The Microgenesis of Global Perception in Autism. Journal of Autism and Developmental Disorders. 36(1). 107–116. 33 indexed citations
17.
Davis, Greg & Amanda Holmes. (2005). What is enumerated by subitization mechanisms?. Perception & Psychophysics. 67(7). 1229–1241. 2 indexed citations
18.
Shepherd, Alex J., et al.. (2002). Increased visual after-effects in migraine following pattern adaptation extend to simultaneous tilt illusion. Spatial Vision. 16(1). 33–43. 15 indexed citations
19.
Driver, Jon, Greg Davis, Charlotte Russell, Massimo Turatto, & Elliot Freeman. (2001). Segmentation, attention and phenomenal visual objects. Cognition. 80(1-2). 61–95. 193 indexed citations
20.
Davis, Greg, Jon Driver, Francesco Pavani, & Alex J. Shepherd. (2000). Reappraising the apparent costs of attending to two separate visual objects. Vision Research. 40(10-12). 1323–1332. 51 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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