Javid Sadr

2.1k total citations · 1 hit paper
19 papers, 1.5k citations indexed

About

Javid Sadr is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Javid Sadr has authored 19 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in Javid Sadr's work include Face Recognition and Perception (11 papers), Visual perception and processing mechanisms (8 papers) and Visual Attention and Saliency Detection (5 papers). Javid Sadr is often cited by papers focused on Face Recognition and Perception (11 papers), Visual perception and processing mechanisms (8 papers) and Visual Attention and Saliency Detection (5 papers). Javid Sadr collaborates with scholars based in United States, Canada and Germany. Javid Sadr's co-authors include Pawan Sinha, Verena Willenbockel, Daniel Fiset, James W. Tanaka, Frédéric Gosselin, Izzat Jarudi, Nikolaus F. Troje, Ken Nakayama, Michael L. Mack and L. Gauthier and has published in prestigious journals such as Vision Research, Psychonomic Bulletin & Review and Cognitive Science.

In The Last Decade

Javid Sadr

18 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Controlling low-level image properties: The SHINE toolbox

2010 805 citations Verena Willenbockel, Javid Sadr et al. Behavior Research Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Javid Sadr United States	10	1.2k	456	331	224	90	19	1.5k
Lúcia Garrido United Kingdom	19	1.3k 1.1×	610 1.3×	343 1.0×	274 1.2×	41 0.5×	37	1.6k
Taosheng Liu United States	27	2.1k 1.8×	422 0.9×	194 0.6×	276 1.2×	104 1.2×	77	2.4k
Nicholas Furl United Kingdom	22	1.2k 1.0×	492 1.1×	347 1.0×	159 0.7×	25 0.3×	35	1.5k
Jürgen M. Kaufmann Germany	20	1.8k 1.5×	897 2.0×	490 1.5×	167 0.7×	46 0.5×	48	1.9k
Stéphanie Caharel France	17	1.3k 1.1×	492 1.1×	281 0.8×	139 0.6×	42 0.5×	28	1.4k
Dejan Draschkow United Kingdom	17	997 0.8×	289 0.6×	355 1.1×	172 0.8×	71 0.8×	39	1.4k
Erik Perez Israel	2	2.3k 1.9×	824 1.8×	387 1.2×	242 1.1×	73 0.8×	2	2.4k
Jessica Taubert Australia	20	1.1k 0.9×	431 0.9×	272 0.8×	291 1.3×	91 1.0×	70	1.3k
Vaidehi Natu United States	20	1.6k 1.3×	344 0.8×	332 1.0×	149 0.7×	30 0.3×	35	1.9k
Ian Charest United Kingdom	20	1.4k 1.2×	496 1.1×	121 0.4×	179 0.8×	56 0.6×	44	1.7k

Countries citing papers authored by Javid Sadr

Since Specialization

Citations

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

Fields of papers citing papers by Javid Sadr

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javid Sadr

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

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

1.

Sadr, Javid, et al.. (2019). Face perception loves a challenge: Less information sparks more attraction. Vision Research. 157. 61–83. 15 indexed citations

2.

Sadr, Javid. (2011). Preparing and Presenting Complex Images for Perceptual Cognitive Studies. Cognitive Science. 33(33). 1 indexed citations

3.

Willenbockel, Verena, et al.. (2010). The SHINE toolbox for controlling low-level image properties. Journal of Vision. 10(7). 653–653. 36 indexed citations

4.

Willenbockel, Verena, et al.. (2010). Controlling low-level image properties: The SHINE toolbox. Behavior Research Methods. 42(3). 671–684. 805 indexed citations breakdown →

5.

Sadr, Javid, et al.. (2010). Perception of biological motion at varying eccentricity. Journal of Vision. 5(8). 16–16. 4 indexed citations

6.

Sadr, Javid, Nikolaus F. Troje, & Keizo Nakayama. (2010). A pedestrian courtship: Attractiveness and symmetry of humans walking. Journal of Vision. 6(6). 797–797. 5 indexed citations

7.

Sadr, Javid & Pawan Sinha. (2010). Characterizing object-specific neural correlates of perception. Journal of Vision. 3(9). 513–513. 2 indexed citations

8.

Sadr, Javid & P. P. Sinha. (2010). Random image structure evolution (RISE). Journal of Vision. 1(3). 295–295. 1 indexed citations

9.

Sadr, Javid, et al.. (2010). Aesthetic judgments of faces in degraded images. Journal of Vision. 2(7). 743–743. 3 indexed citations

10.

Mack, Michael L., L. Gauthier, Javid Sadr, & Thomas J. Palmeri. (2008). Object detection and basic-level categorization: Sometimes you know it is there before you know what it is. Psychonomic Bulletin & Review. 15(1). 28–35. 85 indexed citations

11.

Troje, Nikolaus F., et al.. (2006). Adaptation aftereffects in the perception of gender from biological motion. Journal of Vision. 6(8). 7–7. 103 indexed citations

12.

Sadr, Javid, et al.. (2006). Axes versus averages: High-level representations of dynamic point-light forms. 14(1). 4 indexed citations

13.

Sadr, Javid, et al.. (2005). Attractiveness, averageness, and sexual dimorphism in biological motion. Journal of Vision. 5(8). 943–943. 1 indexed citations

14.

Sadr, Javid, et al.. (2004). The perception of facial attractiveness in prosopagnosia. Journal of Vision. 4(8). 914–914. 4 indexed citations

15.

Sadr, Javid & Pawan Sinha. (2004). Object recognition and Random Image Structure Evolution. Cognitive Science. 28(2). 259–287. 65 indexed citations

16.

Sadr, Javid & Pawan Sinha. (2004). Object recognition and Random Image Structure Evolution. Cognitive Science. 28(2). 259–287. 74 indexed citations

17.

Sadr, Javid, Izzat Jarudi, & Pawan Sinha. (2003). The Role of Eyebrows in Face Recognition. Perception. 32(3). 285–293. 252 indexed citations

18.

Sadr, Javid, et al.. (2001). The Fidelity of Local Ordinal Encoding. neural information processing systems. 14. 1279–1286. 13 indexed citations

19.

Sadr, Javid & Pawan Sinha. (2001). Exploring Object Perception with Random Image Structure Evolution. DSpace@MIT (Massachusetts Institute of Technology). 14 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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