Antoine Barbot

1.6k total citations
48 papers, 935 citations indexed

About

Antoine Barbot is a scholar working on Cognitive Neuroscience, Epidemiology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Antoine Barbot has authored 48 papers receiving a total of 935 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Cognitive Neuroscience, 15 papers in Epidemiology and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Antoine Barbot's work include Visual perception and processing mechanisms (35 papers), Neural and Behavioral Psychology Studies (17 papers) and Ophthalmology and Visual Impairment Studies (15 papers). Antoine Barbot is often cited by papers focused on Visual perception and processing mechanisms (35 papers), Neural and Behavioral Psychology Studies (17 papers) and Ophthalmology and Visual Impairment Studies (15 papers). Antoine Barbot collaborates with scholars based in United States, Netherlands and France. Antoine Barbot's co-authors include Marisa Carrasco, Geunyoung Yoon, Michael S. Landy, Len Zheleznyak, Hsin-Hung Li, Jared Abrams, Sid Kouider, Krystel R. Huxlin, Ramkumar Sabesan and Jonathan Winawer and has published in prestigious journals such as Nature Communications, NeuroImage and Current Biology.

In The Last Decade

Antoine Barbot

48 papers receiving 925 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Antoine Barbot United States 17 800 156 144 97 92 48 935
Arash Sahraie United Kingdom 16 995 1.2× 148 0.9× 105 0.7× 114 1.2× 44 0.5× 35 1.1k
M. Palomares United States 12 931 1.2× 165 1.1× 128 0.9× 93 1.0× 48 0.5× 22 1.1k
Srimant P. Tripathy United Kingdom 17 993 1.2× 120 0.8× 142 1.0× 134 1.4× 41 0.4× 40 1.1k
Min Bao China 15 624 0.8× 102 0.7× 120 0.8× 65 0.7× 44 0.5× 54 751
Lora T. Likova United States 13 536 0.7× 133 0.9× 72 0.5× 60 0.6× 39 0.4× 51 655
T. Knutsen United States 3 877 1.1× 143 0.9× 50 0.3× 140 1.4× 59 0.6× 4 941
Clara Casco Italy 21 1.2k 1.5× 290 1.9× 106 0.7× 164 1.7× 41 0.4× 77 1.4k
Pascal Despretz France 15 416 0.5× 70 0.4× 88 0.6× 56 0.6× 78 0.8× 21 548
Erich W. Graf United Kingdom 18 908 1.1× 238 1.5× 115 0.8× 193 2.0× 20 0.2× 50 1.1k
Marcello Maniglia United States 15 430 0.5× 67 0.4× 134 0.9× 51 0.5× 72 0.8× 40 544

Countries citing papers authored by Antoine Barbot

Since Specialization
Citations

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

Fields of papers citing papers by Antoine Barbot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antoine Barbot

This figure shows the co-authorship network connecting the top 25 collaborators of Antoine Barbot. A scholar is included among the top collaborators of Antoine Barbot 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 Antoine Barbot. Antoine Barbot 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.
Barbot, Antoine, et al.. (2023). Visual perceptual learning modulates microsaccade rate and directionality. Scientific Reports. 13(1). 4 indexed citations
2.
3.
Barbot, Antoine, Anasuya Das, Michael D. Melnick, et al.. (2021). Spared perilesional V1 activity underlies training-induced recovery of luminance detection sensitivity in cortically-blind patients. Nature Communications. 12(1). 6102–6102. 33 indexed citations
4.
Benson, Noah C., et al.. (2020). Visual Performance Fields. OSF Preprints (OSF Preprints). 2 indexed citations
5.
Barbot, Antoine, et al.. (2018). Orientation specific impairment in contrast sensitivity following long-term neural adaptation to optical blur in keratoconus. Investigative Ophthalmology & Visual Science. 59(9). 4941–4941. 2 indexed citations
6.
Barbot, Antoine & Marisa Carrasco. (2018). Emotion and anxiety potentiate the way attention alters visual appearance. Scientific Reports. 8(1). 5938–5938. 24 indexed citations
7.
Barbot, Antoine, Ramkumar Sabesan, Deborah S. Jacobs, et al.. (2017). Neural re-adaptation to improved optical quality with customized aberration correction. Investigative Ophthalmology & Visual Science. 58(8). 2496–2496. 1 indexed citations
8.
Zheleznyak, Len, et al.. (2016). Neural adaptation to peripheral blur in myopes and emmetropes. Vision Research. 132. 69–77. 17 indexed citations
9.
Li, Hsin-Hung, Antoine Barbot, & Marisa Carrasco. (2016). Saccade Preparation Reshapes Sensory Tuning. Current Biology. 26(12). 1564–1570. 75 indexed citations
10.
Kouider, Sid, Antoine Barbot, Kristoffer H. Madsen, Stéphane Lehéricy, & Christopher Summerfield. (2016). Task relevance differentially shapes ventral visual stream sensitivity to visible and invisible faces. Neuroscience of Consciousness. 2016(1). niw021–niw021. 4 indexed citations
11.
Sabesan, Ramkumar, Antoine Barbot, & Geunyoung Yoon. (2016). Enhanced neural function in highly aberrated eyes following perceptual learning with adaptive optics. Vision Research. 132. 78–84. 31 indexed citations
12.
Barbot, Antoine, et al.. (2014). Spatial and feature-based attention differentially affect the gain and tuning of orientation-selective filters. Journal of Vision. 14(10). 703–703. 6 indexed citations
13.
Carrasco, Marisa & Antoine Barbot. (2014). How Attention Affects Spatial Resolution. Cold Spring Harbor Symposia on Quantitative Biology. 79. 149–160. 61 indexed citations
14.
Barbot, Antoine, et al.. (2013). Diverting attention impairs or improves performance by decreasing spatial resolution. Perception. 42. 90–90. 1 indexed citations
15.
Barbot, Antoine, Michael S. Landy, & Marisa Carrasco. (2012). Differential effects of exogenous and endogenous attention on second-order texture contrast sensitivityAttention and second-order contrast sensitivity. Journal of Vision. 12(8). 6–6. 12 indexed citations
16.
Barbot, Antoine, Michael S. Landy, & Marisa Carrasco. (2011). Differential effects of endogenous and exogenous attention on second-order contrast sensitivity. Journal of Vision. 11(11). 116–116. 8 indexed citations
17.
Barbot, Antoine, et al.. (2011). Endogenous attention optimizes spatial resolution depending on task demands. Perception. 40. 191–191. 3 indexed citations
18.
Barbot, Antoine, Michael S. Landy, & Marisa Carrasco. (2011). Exogenous attention enhances 2nd-order contrast sensitivity. Vision Research. 51(9). 1086–1098. 24 indexed citations
19.
Barbot, Antoine & Sid Kouider. (2011). Longer is not better: nonconscious overstimulation reverses priming influences under interocular suppression. Attention Perception & Psychophysics. 74(1). 174–184. 37 indexed citations
20.
Abrams, Jared, et al.. (2010). Voluntary attention increases perceived spatial frequency. Attention Perception & Psychophysics. 72(6). 1510–1521. 61 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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