Arash Afraz

1.5k total citations
21 papers, 851 citations indexed

About

Arash Afraz is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Arash Afraz has authored 21 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 7 papers in Cellular and Molecular Neuroscience and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Arash Afraz's work include Neural dynamics and brain function (11 papers), Visual perception and processing mechanisms (10 papers) and Face Recognition and Perception (7 papers). Arash Afraz is often cited by papers focused on Neural dynamics and brain function (11 papers), Visual perception and processing mechanisms (10 papers) and Face Recognition and Perception (7 papers). Arash Afraz collaborates with scholars based in United States, France and Czechia. Arash Afraz's co-authors include Patrick Cavanagh, Mehrdad Jazayeri, Amelia R. Hunt, Martin Rolfs, James J. DiCarlo, Edward S. Boyden, Ali Ezzati, Rishi Rajalingham, Rosa Lafer-Sousa and Bevil R. Conway and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Arash Afraz

20 papers receiving 842 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Arash Afraz United States	10	749	195	109	107	88	21	851
Sang‐Hun Lee South Korea	15	1.1k 1.4×	194 1.0×	73 0.7×	148 1.4×	101 1.1×	46	1.2k
Justin M. Ales United States	18	1.4k 1.9×	245 1.3×	77 0.7×	163 1.5×	117 1.3×	35	1.6k
Andrea Pavan Italy	22	1.1k 1.4×	187 1.0×	84 0.8×	194 1.8×	59 0.7×	67	1.2k
Igor Kagan Germany	15	842 1.1×	188 1.0×	39 0.4×	58 0.5×	118 1.3×	40	954
Choongkil Lee South Korea	11	679 0.9×	181 0.9×	49 0.4×	113 1.1×	68 0.8×	23	827
P. Christiaan Klink Netherlands	15	1.2k 1.6×	208 1.1×	38 0.3×	183 1.7×	80 0.9×	29	1.3k
Yasuko Sugase-Miyamoto Japan	11	837 1.1×	147 0.8×	113 1.0×	123 1.1×	63 0.7×	22	958
Jay Hegdé United States	15	790 1.1×	160 0.8×	174 1.6×	59 0.6×	58 0.7×	41	931
Kristina J. Nielsen United States	13	499 0.7×	238 1.2×	55 0.5×	42 0.4×	156 1.8×	20	652
Alan W. Freeman Australia	13	847 1.1×	232 1.2×	40 0.4×	103 1.0×	201 2.3×	34	947

Countries citing papers authored by Arash Afraz

Since Specialization

Citations

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

Fields of papers citing papers by Arash Afraz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arash Afraz

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

All Works

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20 of 20 papers shown

Scheirer, Walter J., et al.. (2024). Perceptography unveils the causal contribution of inferior temporal cortex to visual perception. Nature Communications. 15(1). 3347–3347. 5 indexed citations

Taubert, Jessica, et al.. (2024). Inactivation of face-selective neurons alters eye movements when free viewing faces. Proceedings of the National Academy of Sciences. 121(3). e2309906121–e2309906121. 9 indexed citations

Eldridge, Mark A. G., et al.. (2023). Surgical Procedure for Implantation of Opto‐Array in Nonhuman Primates. Current Protocols. 3(3). e704–e704. 4 indexed citations

Afraz, Arash, et al.. (2023). Perceptography: Revealing the causal contribution of the inferior temporal cortex to visual perception.. Journal of Vision. 23(9). 5871–5871.

Lafer-Sousa, Rosa, et al.. (2023). Image-dependence of the detectability of optogenetic stimulation in macaque inferotemporal cortex. Current Biology. 33(3). 581–588.e4. 10 indexed citations

Taubert, Jessica, et al.. (2023). The causal link between neural activity in inferotemporal cortex and free viewing eye movements. Journal of Vision. 23(9). 5739–5739. 1 indexed citations

Afraz, Arash. (2023). Behavioral optogenetics in nonhuman primates; a psychological perspective. SHILAP Revista de lepidopterología. 5. 100101–100101. 4 indexed citations

Lafer-Sousa, Rosa, Karen Wang, & Arash Afraz. (2022). Detectability of optogenetic stimulation of inferior temporal cortex depends significantly on visibility of visual input. Journal of Vision. 22(14). 3768–3768. 1 indexed citations

Lafer-Sousa, Rosa, et al.. (2022). Behavioral detectability of optogenetic stimulation of inferior temporal cortex varies with the size of concurrently viewed objects. SHILAP Revista de lepidopterología. 4. 100063–100063. 5 indexed citations

10.

Rajalingham, Rishi, et al.. (2021). Chronically implantable LED arrays for behavioral optogenetics in primates. Nature Methods. 18(9). 1112–1116. 54 indexed citations

11.

Afraz, Arash, et al.. (2020). Richer color vocabulary is associated with better color memory but not color perception. Proceedings of the National Academy of Sciences. 117(49). 31046–31052. 8 indexed citations

12.

Lafer-Sousa, Rosa, et al.. (2019). Paradoxical impact of memory on color appearance of faces. Nature Communications. 10(1). 3010–3010. 20 indexed citations

13.

Jazayeri, Mehrdad & Arash Afraz. (2017). Navigating the Neural Space in Search of the Neural Code. Neuron. 93(5). 1003–1014. 151 indexed citations

14.

Afraz, Arash, Edward S. Boyden, & James J. DiCarlo. (2015). Optogenetic and pharmacological suppression of spatial clusters of face neurons reveal their causal role in face gender discrimination. Proceedings of the National Academy of Sciences. 112(21). 6730–6735. 102 indexed citations

15.

Afraz, Arash, Daniel Yamins, & James J. DiCarlo. (2014). Neural Mechanisms Underlying Visual Object Recognition. Cold Spring Harbor Symposia on Quantitative Biology. 79. 99–107. 15 indexed citations

16.

Cavanagh, Patrick, Amelia R. Hunt, Arash Afraz, & Martin Rolfs. (2010). Visual stability based on remapping of attention pointers. Trends in Cognitive Sciences. 14(4). 147–153. 286 indexed citations

17.

Cavanagh, Patrick, Amelia R. Hunt, Arash Afraz, & Martin Rolfs. (2010). Attention Pointers: Response to Mayo and Sommer. Trends in Cognitive Sciences. 14(9). 390–391. 3 indexed citations

18.

Afraz, Arash, et al.. (2010). Spatial Heterogeneity in the Perception of Face and Form Attributes. Current Biology. 20(23). 2112–2116. 54 indexed citations

19.

Afraz, Arash & Patrick Cavanagh. (2009). The gender-specific face aftereffect is based in retinotopic not spatiotopic coordinates across several natural image transformations. Journal of Vision. 9(10). 10–10. 81 indexed citations

20.

Ezzati, Ali, et al.. (2008). Topography of the motion aftereffect with and without eye movements. Journal of Vision. 8(14). 23–23. 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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