Andrew Haun

1.5k total citations · 1 hit paper
38 papers, 859 citations indexed

About

Andrew Haun is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Andrew Haun has authored 38 papers receiving a total of 859 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Cognitive Neuroscience, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Andrew Haun's work include Visual perception and processing mechanisms (28 papers), Neural dynamics and brain function (12 papers) and Color Science and Applications (7 papers). Andrew Haun is often cited by papers focused on Visual perception and processing mechanisms (28 papers), Neural dynamics and brain function (12 papers) and Color Science and Applications (7 papers). Andrew Haun collaborates with scholars based in United States, Canada and Australia. Andrew Haun's co-authors include Giulio Tononi, Bruce C. Hansen, Edward A. Essock, Yufeng Zheng, Eli Peli, Naotsugu Tsuchiya, Yeon Jin Kim, Matteo Grasso, Christof Koch and Larissa Albantakis and has published in prestigious journals such as PLoS ONE, Trends in Cognitive Sciences and Vision Research.

In The Last Decade

Andrew Haun

36 papers receiving 827 citations

Hit Papers

Integrated information theory (IIT) 4.0: Formulating the ... 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Haun United States 15 511 246 232 76 71 38 859
Yael Adini Israel 12 645 1.3× 709 2.9× 122 0.5× 70 0.9× 100 1.4× 20 1.4k
Christina A. Burbeck United States 18 667 1.3× 313 1.3× 104 0.4× 181 2.4× 77 1.1× 28 952
F. Heitger Switzerland 9 430 0.8× 222 0.9× 86 0.4× 99 1.3× 21 0.3× 20 772
Tomihisa F. Welsh United States 4 492 1.0× 811 3.3× 190 0.8× 159 2.1× 68 1.0× 8 1.5k
Floris L. van Nes Netherlands 8 598 1.2× 149 0.6× 74 0.3× 211 2.8× 55 0.8× 24 884
A. J. Ahumada United States 10 395 0.8× 236 1.0× 66 0.3× 72 0.9× 36 0.5× 36 676
T. Troscianko United Kingdom 17 563 1.1× 331 1.3× 91 0.4× 172 2.3× 103 1.5× 37 938
Yoav Tadmor United Kingdom 10 668 1.3× 264 1.1× 86 0.4× 205 2.7× 63 0.9× 15 858
Ian R. Moorhead United Kingdom 8 344 0.7× 165 0.7× 68 0.3× 152 2.0× 32 0.5× 15 557
Fulvio Domini United States 20 1.0k 2.0× 291 1.2× 62 0.3× 139 1.8× 138 1.9× 92 1.1k

Countries citing papers authored by Andrew Haun

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Haun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Haun

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Haun. A scholar is included among the top collaborators of Andrew Haun 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 Andrew Haun. Andrew Haun 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.
Haun, Andrew & Giulio Tononi. (2025). Limits of iconic capacity for spatial position. Attention Perception & Psychophysics. 87(7). 2041–2047. 1 indexed citations
2.
Haun, Andrew & Giulio Tononi. (2025). The unfathomable richness of seeing. Trends in Cognitive Sciences. 29(10). 892–902. 1 indexed citations
3.
Albantakis, Larissa, Graham Findlay, Matteo Grasso, et al.. (2023). Integrated information theory (IIT) 4.0: Formulating the properties of phenomenal existence in physical terms. PLoS Computational Biology. 19(10). e1011465–e1011465. 100 indexed citations breakdown →
4.
Afrasiabi, Mohsen, Michelle J. Redinbaugh, Jessica M. Phillips, et al.. (2021). Consciousness depends on integration between parietal cortex, striatum, and thalamus. Cell Systems. 12(4). 363–373.e11. 55 indexed citations
5.
Haun, Andrew, Masafumi Oizumi, Christopher K. Kovach, et al.. (2017). Conscious Perception as Integrated Information Patterns in Human Electrocorticography. eNeuro. 4(5). ENEURO.0085–17.2017. 22 indexed citations
6.
Song, Chen, Andrew Haun, & Giulio Tononi. (2017). Plasticity in the Structure of Visual Space. eNeuro. 4(3). ENEURO.0080–17.2017. 17 indexed citations
7.
Hansen, Bruce C., Andrew Haun, Aaron Johnson, & Dave Ellemberg. (2016). On the Differentiation of Foveal and Peripheral Early Visual Evoked Potentials. Brain Topography. 29(4). 506–514. 20 indexed citations
8.
Haun, Andrew & Eli Peli. (2015). Similar Sensitivity to Ladder Contours in Macular Degeneration Patients and Controls. PLoS ONE. 10(7). e0128119–e0128119. 5 indexed citations
9.
Haun, Andrew & Eli Peli. (2014). Binocular rivalry with peripheral prisms used for hemianopia rehabilitation. Ophthalmic and Physiological Optics. 34(5). 573–579. 7 indexed citations
10.
Haun, Andrew & Eli Peli. (2013). Adaptation to blurred and sharpened video. Journal of Vision. 13(8). 12–12. 7 indexed citations
11.
Sawides, Lucie, Carlos Dorronsoro, Andrew Haun, Eli Peli, & Susana Marcos. (2013). Using Pattern Classification to Measure Adaptation to the Orientation of High Order Aberrations. PLoS ONE. 8(8). e70856–e70856. 16 indexed citations
12.
Haun, Andrew & Eli Peli. (2013). Perceived contrast in complex images. Journal of Vision. 13(13). 3–3. 37 indexed citations
13.
Haun, Andrew, et al.. (2012). Aesthetic preference of oriented content in broadband images. Journal of Vision. 12(9). 1084–1084. 1 indexed citations
14.
Haun, Andrew & Eli Peli. (2011). 24.1: Measuring the Perceived Contrast of Natural Images. SID Symposium Digest of Technical Papers. 42(1). 302–304. 8 indexed citations
15.
Haun, Andrew, Russell L. Woods, & Eli Peli. (2011). Perceived contrast of electronically magnified video. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7865. 78650N–78650N. 2 indexed citations
16.
Haun, Andrew & Eli Peli. (2011). Complexities of complex contrast. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8292. 82920E–82920E. 3 indexed citations
17.
Haun, Andrew, et al.. (2010). Contrast sensitivity for oriented patterns in 1/f noise: Contrast response and the horizontal effect. Journal of Vision. 10(10). 1–1. 26 indexed citations
18.
Kim, Yeon Jin, Andrew Haun, & Edward A. Essock. (2010). The horizontal effect in suppression: Anisotropic overlay and surround suppression at high and low speeds. Vision Research. 50(9). 838–849. 11 indexed citations
19.
Haun, Andrew, et al.. (2009). An anisotropy of orientation-tuned suppression that matches the anisotropy of typical natural scenes. Journal of Vision. 9(1). 35–35. 31 indexed citations
20.
Essock, Edward A., Bruce C. Hansen, & Andrew Haun. (2007). Illusory Bands in Orientation and Spatial Frequency: A Cortical Analog to Mach Bands. Perception. 36(5). 639–649. 4 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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