Caitlin Mullin

694 total citations
20 papers, 406 citations indexed

About

Caitlin Mullin is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Caitlin Mullin has authored 20 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Experimental and Cognitive Psychology. Recurrent topics in Caitlin Mullin's work include Face Recognition and Perception (10 papers), Neural dynamics and brain function (9 papers) and Visual perception and processing mechanisms (9 papers). Caitlin Mullin is often cited by papers focused on Face Recognition and Perception (10 papers), Neural dynamics and brain function (9 papers) and Visual perception and processing mechanisms (9 papers). Caitlin Mullin collaborates with scholars based in Canada, United States and Belgium. Caitlin Mullin's co-authors include Jennifer K. E. Steeves, Johan Wagemans, Rebecca Chamberlain, Yalda Mohsenzadeh, Aude Oliva, Christoph Redies, Dimitrios Pantazis, Gregor U. Hayn‐Leichsenring, Claudia Menzel and Radoslaw Martin Cichy and has published in prestigious journals such as Journal of Neuroscience, Scientific Reports and PLoS Biology.

In The Last Decade

Caitlin Mullin

19 papers receiving 394 citations

Peers

Caitlin Mullin

ECP

CVPR

Erich Weichselgartner Germany

Ramakrishna Chakravarthi United Kingdom

Joseph L. Brooks United Kingdom

Won Mok Shim United States

Anna Kosovicheva United States

M. Pilar Aivar Spain

William J. Harrison Australia

Zhe Qu China

Dan Bosnyak Canada

John Christie Canada

Erich Weichselgartner Germany

Caitlin Mullin

484 ×1.4

119 ×1.4

ECP

69 ×0.8

CVPR

39 ×0.8

14 ×0.6

Citations per year, relative to Caitlin Mullin Caitlin Mullin (= 1×) peers Erich Weichselgartner

Countries citing papers authored by Caitlin Mullin

Since Specialization

Citations

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

Fields of papers citing papers by Caitlin Mullin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caitlin Mullin

This figure shows the co-authorship network connecting the top 25 collaborators of Caitlin Mullin. A scholar is included among the top collaborators of Caitlin Mullin 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 Caitlin Mullin. Caitlin Mullin 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

Mohsenzadeh, Yalda, et al.. (2024). Visual perception of highly memorable images is mediated by a distributed network of ventral visual regions that enable a late memorability response. PLoS Biology. 22(4). e3002564–e3002564. 10 indexed citations

Chamberlain, Rebecca, et al.. (2020). Aesthetics of Graffiti: Comparison to Text-Based and Pictorial Artforms. Empirical Studies of the Arts. 40(1). 21–36. 4 indexed citations

Mohsenzadeh, Yalda, et al.. (2020). Emergence of Visual Center-Periphery Spatial Organization in Deep Convolutional Neural Networks. Scientific Reports. 10(1). 4638–4638. 19 indexed citations

Mohsenzadeh, Yalda, et al.. (2019). Reliability and Generalizability of Similarity-Based Fusion of MEG and fMRI Data in Human Ventral and Dorsal Visual Streams. Vision. 3(1). 8–8. 14 indexed citations

Mohsenzadeh, Yalda, Caitlin Mullin, Aude Oliva, & Dimitrios Pantazis. (2019). The perceptual neural trace of memorable unseen scenes. Scientific Reports. 9(1). 6033–6033. 26 indexed citations

Menzel, Claudia, et al.. (2018). Gist Perception of Image Composition in Abstract Artworks. i-Perception. 9(3). 980052349–980052349. 21 indexed citations

Mohsenzadeh, Yalda, Caitlin Mullin, Dimitrios Pantazis, & Aude Oliva. (2018). Emergence of Topographical Correspondences between Deep Neural Network and Human Ventral Visual Cortex. 1 indexed citations

Chamberlain, Rebecca, et al.. (2017). Putting the art in artificial: Aesthetic responses to computer-generated art.. Psychology of Aesthetics Creativity and the Arts. 12(2). 177–192. 108 indexed citations

Mullin, Caitlin, Gregor U. Hayn‐Leichsenring, Christoph Redies, & Johan Wagemans. (2017). The gist of beauty: An investigation of aesthetic perception in rapidly presented images. Electronic Imaging. 29(14). 248–256. 18 indexed citations

10.

Mullin, Caitlin, Ruth Van der Hallen, Kris Evers, et al.. (2016). In the Eye of the Beholder: Rapid Visual Perception of Real-Life Scenes by Young Adults with and Without ASD. Journal of Autism and Developmental Disorders. 46(8). 2635–2652. 14 indexed citations

11.

Mullin, Caitlin, et al.. (2016). Substance over style? The role of high and low level visual properties in novice impressions of artistic style. Journal of Vision. 16(12). 1412–1412. 1 indexed citations

12.

Chamberlain, Rebecca, Caitlin Mullin, & Johan Wagemans. (2015). The artistic Turing test: An exploration of perceptions of computer-generated and man-made art. Journal of Vision. 15(12). 112–112. 1 indexed citations

13.

Mullin, Caitlin, Gregor U. Hayn‐Leichsenring, & Johan Wagemans. (2015). There is beauty in gist: An investigation of aesthetic perception in rapidly presented scenes. Journal of Vision. 15(12). 123–123. 6 indexed citations

14.

Mullin, Caitlin, et al.. (2013). Transcranial Magnetic Stimulation to the Transverse Occipital Sulcus Affects Scene but Not Object Processing. Journal of Cognitive Neuroscience. 25(6). 961–968. 44 indexed citations

15.

Mullin, Caitlin & Jennifer K. E. Steeves. (2013). Consecutive TMS-fMRI Reveals an Inverse Relationship in BOLD Signal between Object and Scene Processing. Journal of Neuroscience. 33(49). 19243–19249. 22 indexed citations

16.

Mullin, Caitlin, et al.. (2013). TMS to the “occipital face area” affects recognition but not categorization of faces. Brain and Cognition. 83(3). 245–251. 35 indexed citations

17.

Stevenson, Ryan A., Caitlin Mullin, Mark T. Wallace, & Jennifer K. E. Steeves. (2013). fMRI-guided TMS of the superior temporal sulcus impairs multisensory temporal processing. Multisensory Research. 26(1-2). 208–208.

18.

Mullin, Caitlin & Jennifer K. E. Steeves. (2011). TMS to the Lateral Occipital Cortex Disrupts Object Processing but Facilitates Scene Processing. Journal of Cognitive Neuroscience. 23(12). 4174–4184. 51 indexed citations

19.

Brewster, Paul, et al.. (2010). Sex differences in face processing are mediated by handedness and sexual orientation. Laterality Asymmetries of Body Brain and Cognition. 16(2). 188–200. 10 indexed citations

20.

Mullin, Caitlin, Jean‐François Démonet, Robert W. Kentridge, et al.. (2009). Preserved Striate Cortex is Not Sufficient to Support the McCollough Effect: Evidence from two Patients with Cerebral Achromatopsia. Perception. 38(12). 1741–1748. 1 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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