Zoe Kourtzi

9.4k total citations · 4 hit papers
134 papers, 6.8k citations indexed

About

Zoe Kourtzi is a scholar working on Cognitive Neuroscience, Social Psychology and Psychiatry and Mental health. According to data from OpenAlex, Zoe Kourtzi has authored 134 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Cognitive Neuroscience, 16 papers in Social Psychology and 11 papers in Psychiatry and Mental health. Recurrent topics in Zoe Kourtzi's work include Visual perception and processing mechanisms (76 papers), Neural dynamics and brain function (66 papers) and Face Recognition and Perception (42 papers). Zoe Kourtzi is often cited by papers focused on Visual perception and processing mechanisms (76 papers), Neural dynamics and brain function (66 papers) and Face Recognition and Perception (42 papers). Zoe Kourtzi collaborates with scholars based in United Kingdom, United States and Germany. Zoe Kourtzi's co-authors include Nancy Kanwisher, Kalanit Grill‐Spector, Andrew E. Welchman, Christian F. Altmann, Sheng Li, HH Bülthoff, Nikos K. Logothetis, Maggie Shiffrar, Bart Krekelberg and Vaia Lestou and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Zoe Kourtzi

127 papers receiving 6.7k citations

Hit Papers

The lateral occipital complex and its role in object reco... 2000 2026 2008 2017 2001 2001 2000 2000 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zoe Kourtzi United Kingdom 37 6.1k 1.1k 1.0k 684 374 134 6.8k
Frank Tong United States 35 7.9k 1.3× 825 0.7× 1.4k 1.3× 807 1.2× 241 0.6× 121 8.7k
John T. Serences United States 47 8.2k 1.4× 515 0.5× 1.1k 1.0× 409 0.6× 292 0.8× 115 8.7k
Mark W. Greenlee Germany 48 6.3k 1.0× 753 0.7× 1.2k 1.1× 311 0.5× 283 0.8× 246 7.9k
Vincent Walsh United Kingdom 45 7.6k 1.3× 899 0.8× 1.7k 1.6× 345 0.5× 922 2.5× 114 9.5k
Allison B. Sekuler Canada 42 4.5k 0.7× 553 0.5× 1.1k 1.1× 962 1.4× 165 0.4× 149 5.0k
H. Steven Scholte Netherlands 38 3.9k 0.6× 583 0.5× 1.2k 1.1× 332 0.5× 232 0.6× 117 5.0k
Gordon C. Baylis United States 46 7.0k 1.1× 933 0.8× 1.7k 1.6× 784 1.1× 599 1.6× 91 7.8k
Leslie G. Ungerleider United States 22 9.0k 1.5× 1.0k 0.9× 1.4k 1.3× 551 0.8× 606 1.6× 30 10.0k
Bruce Bridgeman United States 45 6.0k 1.0× 1.2k 1.0× 1.2k 1.2× 417 0.6× 397 1.1× 173 7.0k
Alumit Ishai Switzerland 24 6.2k 1.0× 862 0.8× 1.7k 1.6× 804 1.2× 308 0.8× 33 6.8k

Countries citing papers authored by Zoe Kourtzi

Since Specialization
Citations

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

Fields of papers citing papers by Zoe Kourtzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zoe Kourtzi

This figure shows the co-authorship network connecting the top 25 collaborators of Zoe Kourtzi. A scholar is included among the top collaborators of Zoe Kourtzi 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 Zoe Kourtzi. Zoe Kourtzi 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.
Yang, Zhihan, Ye Du, Yongping Zheng, et al.. (2025). ADFound: A Foundation Model for Diagnosis and Prognosis of Alzheimer’s Disease. IEEE Journal of Biomedical and Health Informatics. 29(11). 8395–8408.
2.
Li, Rui, Eric L. Harshfield, Steven Bell, et al.. (2024). Predicting Incident Dementia in Cerebral Small Vessel Disease: Comparison of Machine Learning and Traditional Statistical Models. SHILAP Revista de lepidopterología. 6. 100235–100235.
3.
Emir, Uzay, et al.. (2024). Recurrent inhibition refines mental templates to optimize perceptual decisions. Science Advances. 10(31). eado7378–eado7378. 3 indexed citations
4.
Giorgio, Joseph, William J. Jagust, Suzanne L. Baker, et al.. (2022). A robust and interpretable machine learning approach using multimodal biological data to predict future pathological tau accumulation. Nature Communications. 13(1). 1887–1887. 20 indexed citations
5.
Leong, Victoria, et al.. (2021). A New Remote Guided Method for Supervised Web-Based Cognitive Testing to Ensure High Quality Data. PsyArXiv (OSF Preprints). 1 indexed citations
6.
Kemper, Valentin G., Ke Jia, Joseph Giorgio, et al.. (2020). Fine-scale computations for adaptive processing in the human brain. eLife. 9. 13 indexed citations
7.
Emir, Uzay, et al.. (2019). Learning to optimize perceptual decisions through suppressive interactions in the human brain. Nature Communications. 10(1). 474–474. 39 indexed citations
8.
Luft, Caroline Di Bernardi, Rosalind Baker, Peter Bentham, & Zoe Kourtzi. (2015). Learning temporal statistics for sensory predictions in mild cognitive impairment. Neuropsychologia. 75. 368–380. 6 indexed citations
9.
Christian, Julie, et al.. (2015). Socio-cognitive profiles for visual learning in young and older adults. Frontiers in Aging Neuroscience. 7. 105–105. 6 indexed citations
10.
Kourtzi, Zoe. (2014). Adaptive shape coding in the human visual brain. Journal of Vision. 14(10). 1457–1457. 1 indexed citations
11.
Mayhew, Stephen, et al.. (2010). Learning Shapes the Representation of Visual Categories in the Aging Human Brain. Journal of Cognitive Neuroscience. 22(12). 2899–2912. 13 indexed citations
12.
Kourtzi, Zoe, Bart Krekelberg, & Richard van Wezel. (2008). Linking form and motion in the primate brain. Trends in Cognitive Sciences. 12(6). 230–236. 80 indexed citations
13.
Li, Sheng, et al.. (2008). Multivoxel Pattern Selectivity for Perceptually Relevant Binocular Disparities in the Human Brain. Journal of Neuroscience. 28(44). 11315–11327. 133 indexed citations
14.
Chandrasekaran, Chandramouli, et al.. (2006). Neural Correlates of Disparity-Defined Shape Discrimination in the Human Brain. Journal of Neurophysiology. 97(2). 1553–1565. 73 indexed citations
15.
Altmann, Christian F., Wolfgang Grodd, Zoe Kourtzi, HH Bülthoff, & Hans-Otto Karnath. (2005). Similar cortical correlates underlie visual object identification and orientation judgement. University of Birmingham Research Portal (University of Birmingham). 16 indexed citations
16.
Moutoussis, Konstantinos, Georgios A. Keliris, Zoe Kourtzi, & Nikos K. Logothetis. (2005). A binocular rivalry study of motion perception in the human brain. Vision Research. 45(17). 2231–2243. 53 indexed citations
17.
Altmann, Christian F., et al.. (2004). Shape Saliency Modulates Contextual Processing in the Human Lateral Occipital Complex. Journal of Cognitive Neuroscience. 16(5). 794–804. 52 indexed citations
18.
Tolias, Andreas S., Zoe Kourtzi, & Nikos K. Logothetis. (2003). Functional magnetic resonance imaging adaptation: a technique for studying the properties of neuronal networks. MIT Press eBooks. 109–125. 2 indexed citations
19.
Kourtzi, Zoe. (2003). ‘But still, it moves’. Trends in Cognitive Sciences. 8(2). 47–49. 26 indexed citations
20.
Epstein, Russell A., Nancy Kanwisher, Paul E. Downing, & Zoe Kourtzi. (2001). Functional Neuroimaging of Visual Recognition. MIT Press eBooks. 109–152. 41 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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