David Alais

9.9k total citations · 1 hit paper
188 papers, 6.9k citations indexed

About

David Alais is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, David Alais has authored 188 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 172 papers in Cognitive Neuroscience, 90 papers in Experimental and Cognitive Psychology and 24 papers in Social Psychology. Recurrent topics in David Alais's work include Visual perception and processing mechanisms (134 papers), Multisensory perception and integration (81 papers) and Neural dynamics and brain function (50 papers). David Alais is often cited by papers focused on Visual perception and processing mechanisms (134 papers), Multisensory perception and integration (81 papers) and Neural dynamics and brain function (50 papers). David Alais collaborates with scholars based in Australia, Netherlands and United States. David Alais's co-authors include David C. Burr, John Cass, Erik Van der Burg, Randolph Blake, Jessica Taubert, Deborah Apthorp, Chris Paffen, Amanda Parker, Maria Concetta Morrone and Simon Carlile and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

David Alais

180 papers receiving 6.8k citations

Hit Papers

The Ventriloquist Effect Results from Near-Optimal Bimoda... 2004 2026 2011 2018 2004 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Alais Australia 42 5.8k 3.5k 1.2k 1.2k 481 188 6.9k
Shin’ya Nishida Japan 38 4.5k 0.8× 1.7k 0.5× 946 0.8× 571 0.5× 785 1.6× 197 5.3k
Marisa Carrasco United States 57 12.1k 2.1× 2.3k 0.7× 1.5k 1.2× 903 0.8× 1.4k 3.0× 238 13.6k
Raymond van Ee Netherlands 42 3.8k 0.7× 1.0k 0.3× 712 0.6× 362 0.3× 342 0.7× 144 5.0k
Frank Tong United States 35 7.9k 1.4× 1.4k 0.4× 825 0.7× 244 0.2× 807 1.7× 121 8.7k
Colin W. G. Clifford Australia 45 5.7k 1.0× 1.7k 0.5× 918 0.8× 291 0.2× 815 1.7× 205 6.4k
Geoffrey M. Boynton United States 44 7.5k 1.3× 1.3k 0.4× 633 0.5× 412 0.3× 604 1.3× 111 8.7k
Vincent Di Lollo Canada 41 6.9k 1.2× 1.6k 0.5× 656 0.5× 423 0.4× 535 1.1× 180 7.5k
Bruce Bridgeman United States 45 6.0k 1.0× 1.2k 0.4× 1.2k 1.0× 227 0.2× 417 0.9× 173 7.0k
Kimron L. Shapiro United Kingdom 42 10.0k 1.7× 2.6k 0.7× 880 0.7× 937 0.8× 377 0.8× 128 11.1k
Naotsugu Tsuchiya Australia 33 5.1k 0.9× 1.1k 0.3× 830 0.7× 301 0.3× 277 0.6× 113 6.1k

Countries citing papers authored by David Alais

Since Specialization
Citations

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

Fields of papers citing papers by David Alais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Alais

This figure shows the co-authorship network connecting the top 25 collaborators of David Alais. A scholar is included among the top collaborators of David Alais 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 David Alais. David Alais 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.
Tonelli, Alessia, et al.. (2025). Sensory reliability takes priority over the central tendency effect in temporal and spatial estimation. Scientific Reports. 15(1). 38886–38886. 1 indexed citations
3.
Davidson, Matthew, Frans A.J. Verstraten, & David Alais. (2024). Walking modulates visual detection performance according to stride cycle phase. Nature Communications. 15(1). 2027–2027. 6 indexed citations
4.
Burr, David C., et al.. (2021). Propagation and update of auditory perceptual priors through alpha and theta rhythms. European Journal of Neuroscience. 55(11-12). 3083–3099. 6 indexed citations
5.
Noel, Jean‐Paul, Nathan Faivre, Elisa Magosso, et al.. (2019). Multisensory perceptual awareness: Categorical or graded?. Cortex. 120. 169–180. 3 indexed citations
6.
Alais, David, et al.. (2018). Eye gaze direction shows a positive serial dependency. Journal of Vision. 18(4). 11–11. 34 indexed citations
7.
Alais, David, et al.. (2018). Continuous flash suppression operates in local spatial zones: Effects of mask size and contrast. Vision Research. 154. 105–114. 5 indexed citations
8.
Davidson, Matthew, David Alais, Jeroen J. A. van Boxtel, & Naotsugu Tsuchiya. (2018). Attention periodically samples competing stimuli during binocular rivalry. eLife. 7. 17 indexed citations
9.
Apthorp, Deborah, Scott Griffiths, David Alais, & John Cass. (2017). Adaptation-Induced Blindness Is Orientation-Tuned and Monocular. i-Perception. 8(2). 978969701–978969701. 2 indexed citations
10.
Taubert, Jessica, Erik Van der Burg, & David Alais. (2016). Love at second sight: Sequential dependence of facial attractiveness in an on-line dating paradigm. Scientific Reports. 6(1). 22740–22740. 85 indexed citations
11.
Poulton, Alison, et al.. (2015). Piloting a New Approach to the Treatment of Obesity Using Dexamphetamine. Frontiers in Endocrinology. 6. 14–14. 8 indexed citations
12.
Alais, David, Claudia Lunghi, & Maria Concetta Morrone. (2014). Auditory and tactile signals combine to influence vision during binocular rivalry. Journal of Vision. 14(10). 434–434. 1 indexed citations
13.
Burg, Erik Van der, et al.. (2013). Amplitude-modulated auditory stimuli influence selection of visual spatial frequencies. Journal of Vision. 13(3). 6–6. 19 indexed citations
14.
Cass, John, et al.. (2011). Synchronized audio-visual transients drive efficient visual search for motion-in-depth. Journal of Vision. 11(11). 792–792. 1 indexed citations
15.
Apthorp, Deborah, et al.. (2010). Motion streaks in the brain: an fMRI study. UCL Discovery (University College London). 3 indexed citations
16.
Dakin, Steven C., Deborah Apthorp, & David Alais. (2010). Anisotropies in judging the direction of moving natural scenes. Journal of Vision. 10(11). 5–5. 8 indexed citations
17.
Alais, David & Simon Carlile. (2005). Synchronizing to real events: Subjective audiovisual alignment scales with perceived auditory depth and speed of sound. Proceedings of the National Academy of Sciences. 102(6). 2244–2247. 82 indexed citations
18.
Alais, David, Jean Lorenceau, Roberto Arrighi, & John Cass. (2005). Contour interactions between pairs of Gabors engaged in binocular rivalry reveal a map of the association field. Vision Research. 46(8-9). 1473–1487. 23 indexed citations
19.
Alais, David, Frans A.J. Verstraten, & David C. Burr. (2004). The motion aftereffect of transparent motion: Two temporal channels account for perceived direction. Vision Research. 45(4). 403–412. 27 indexed citations
20.
Alais, David, Peter Wenderoth, & Darren Burke. (1997). The Size and Number of Plaid Blobs Mediate the Misperception of Type-II Plaid Direction. Vision Research. 37(1). 143–150. 18 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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