J. Brendan Ritchie

1.5k total citations
32 papers, 652 citations indexed

About

J. Brendan Ritchie is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, J. Brendan Ritchie has authored 32 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cognitive Neuroscience, 8 papers in Experimental and Cognitive Psychology and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in J. Brendan Ritchie's work include Face Recognition and Perception (20 papers), Visual perception and processing mechanisms (15 papers) and Neural dynamics and brain function (13 papers). J. Brendan Ritchie is often cited by papers focused on Face Recognition and Perception (20 papers), Visual perception and processing mechanisms (15 papers) and Neural dynamics and brain function (13 papers). J. Brendan Ritchie collaborates with scholars based in Belgium, United States and Australia. J. Brendan Ritchie's co-authors include Hans Op de Beeck, Thomas A. Carlson, Stefania Bracci, Colin Klein, David M. Kaplan, Peter Carruthers, David A. Tovar, Astrid Zeman, Nikolaus Kriegeskorte and Erin Goddard and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and NeuroImage.

In The Last Decade

J. Brendan Ritchie

31 papers receiving 644 citations

Peers

J. Brendan Ritchie
Peter F. Schade United States
John A. Pyles United States
Maryam Vaziri-Pashkam United States
Anthony Stigliani United States
David A. Tovar United States
Cai Wingfield United Kingdom
Won Mok Shim United States
Emily Allen United States
Sam Norman-Haignere United States
Peter F. Schade United States
J. Brendan Ritchie
Citations per year, relative to J. Brendan Ritchie J. Brendan Ritchie (= 1×) peers Peter F. Schade

Countries citing papers authored by J. Brendan Ritchie

Since Specialization
Citations

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

Fields of papers citing papers by J. Brendan Ritchie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Brendan Ritchie. 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 J. Brendan Ritchie. The network helps show where J. Brendan Ritchie may publish in the future.

Co-authorship network of co-authors of J. Brendan Ritchie

This figure shows the co-authorship network connecting the top 25 collaborators of J. Brendan Ritchie. A scholar is included among the top collaborators of J. Brendan Ritchie 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 J. Brendan Ritchie. J. Brendan Ritchie 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.
Ritchie, J. Brendan, et al.. (2024). Graspable foods and tools elicit similar responses in visual cortex. Cerebral Cortex. 34(9). 7 indexed citations
2.
Ritchie, J. Brendan, et al.. (2021). Untangling the Animacy Organization of Occipitotemporal Cortex. Journal of Neuroscience. 41(33). 7103–7119. 27 indexed citations
3.
Ritchie, J. Brendan, Haemy Lee Masson, Stefania Bracci, & Hans Op de Beeck. (2021). The unreliable influence of multivariate noise normalization on the reliability of neural dissimilarity. NeuroImage. 245. 118686–118686. 9 indexed citations
4.
Taubert, Jessica, et al.. (2021). One object, two networks? Assessing the relationship between the face and body-selective regions in the primate visual system. Brain Structure and Function. 227(4). 1423–1438. 18 indexed citations
5.
Zeman, Astrid, J. Brendan Ritchie, Stefania Bracci, & Hans Op de Beeck. (2020). Orthogonal Representations of Object Shape and Category in Deep Convolutional Neural Networks and Human Visual Cortex. Scientific Reports. 10(1). 2453–2453. 41 indexed citations
6.
Ritchie, J. Brendan, et al.. (2020). When Scenes Look Like Materials: René Magritte’s Reversible Figure–Ground Motif. 8(3-4). 299–310. 4 indexed citations
7.
Bracci, Stefania, et al.. (2019). The Ventral Visual Pathway Represents Animal Appearance over Animacy, Unlike Human Behavior and Deep Neural Networks. Journal of Neuroscience. 39(33). 6513–6525. 54 indexed citations
8.
Beeck, Hans Op de, et al.. (2019). Factors Determining Where Category-Selective Areas Emerge in Visual Cortex. Trends in Cognitive Sciences. 23(9). 784–797. 53 indexed citations
9.
Ritchie, J. Brendan & Hans Op de Beeck. (2019). Using neural distance to predict reaction time for categorizing the animacy, shape, and abstract properties of objects. Scientific Reports. 9(1). 13201–13201. 11 indexed citations
10.
Ritchie, J. Brendan & Hans Op de Beeck. (2018). A Varying Role for Abstraction in Models of Category Learning Constructed from Neural Representations in Early Visual Cortex. Journal of Cognitive Neuroscience. 31(1). 155–173. 6 indexed citations
11.
Grootswagers, Tijl, J. Brendan Ritchie, Susan G. Wardle, Andrew Heathcote, & Thomas A. Carlson. (2017). Asymmetric Compression of Representational Space for Object Animacy Categorization under Degraded Viewing Conditions. Journal of Cognitive Neuroscience. 29(12). 1995–2010. 12 indexed citations
12.
Bracci, Stefania, J. Brendan Ritchie, & Hans Op de Beeck. (2017). On the partnership between neural representations of object categories and visual features in the ventral visual pathway. Neuropsychologia. 105. 153–164. 51 indexed citations
13.
Carlson, Thomas A., Erin Goddard, David M. Kaplan, Colin Klein, & J. Brendan Ritchie. (2017). Ghosts in machine learning for cognitive neuroscience: Moving from data to theory. NeuroImage. 180(Pt A). 88–100. 36 indexed citations
14.
Ritchie, J. Brendan, David M. Kaplan, & Colin Klein. (2017). Decoding the Brain: Neural Representation and the Limits of Multivariate Pattern Analysis in Cognitive Neuroscience. The British Journal for the Philosophy of Science. 70(2). 581–607. 88 indexed citations
15.
Ritchie, J. Brendan & Thomas A. Carlson. (2016). Neural Decoding and “Inner” Psychophysics: A Distance-to-Bound Approach for Linking Mind, Brain, and Behavior. Frontiers in Neuroscience. 10. 190–190. 32 indexed citations
16.
Wardle, Susan G., J. Brendan Ritchie, Kiley Seymour, & Thomas A. Carlson. (2016). Edge-Related Activity Is Not Necessary to Explain Orientation Decoding in Human Visual Cortex. Journal of Neuroscience. 37(5). 1187–1196. 12 indexed citations
17.
Ritchie, J. Brendan, David A. Tovar, & Thomas A. Carlson. (2015). Emerging Object Representations in the Visual System Predict Reaction Times for Categorization. PLoS Computational Biology. 11(6). e1004316–e1004316. 62 indexed citations
18.
Wardle, Susan G., J. Brendan Ritchie, Kiley Seymour, & Thomas A. Carlson. (2015). What information is 'decoded' from stimulus orientation with fMRI and MVPA?. Journal of Vision. 15(12). 993–993. 1 indexed citations
19.
Ritchie, J. Brendan & Thomas A. Carlson. (2010). Mirror, mirror, on the wall, is that even my hand at all? Changes in the afterimage of one's reflection in a mirror in response to bodily movement. Neuropsychologia. 48(5). 1495–1500. 7 indexed citations
20.
Ritchie, J. Brendan & Peter Carruthers. (2010). Massive modularity is consistent with most forms of neural reuse. Behavioral and Brain Sciences. 33(4). 289–290. 5 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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