Leila Reddy

4.7k total citations · 1 hit paper
47 papers, 2.8k citations indexed

About

Leila Reddy is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Leila Reddy has authored 47 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Cognitive Neuroscience, 9 papers in Cellular and Molecular Neuroscience and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Leila Reddy's work include Neural dynamics and brain function (22 papers), Face Recognition and Perception (16 papers) and Visual perception and processing mechanisms (14 papers). Leila Reddy is often cited by papers focused on Neural dynamics and brain function (22 papers), Face Recognition and Perception (16 papers) and Visual perception and processing mechanisms (14 papers). Leila Reddy collaborates with scholars based in France, United States and India. Leila Reddy's co-authors include Christof Koch, Itzhak Fried, Rodrigo Quian Quiroga, Gabriel Kreiman, Rufin VanRullen, Nancy Kanwisher, T. Serre, Naotsugu Tsuchiya, Patrick Couvreur and Patrick Wilken and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Leila Reddy

45 papers receiving 2.7k 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.

Invariant visual representation by single neurons in the human brain

2005 1.1k citations Rodrigo Quian Quiroga, Leila Reddy et al. Nature profile →

Peers

Leila Reddy

CN

CMN

ECP

CVPR

SP

Davide Zoccolan Italy

Andrew F. Rossi United States

Vincent P. Ferrera United States

Michael A. Paradiso United States

Anna Wang Roe United States

Marco Idiart Brazil

Denis Fize France

Kuniyoshi L. Sakai Japan

Brian Murphy United States

Uri Polat Israel

Davide Zoccolan Italy

Leila Reddy

1.8k ×0.8

CN

548 ×0.9

CMN

145 ×0.5

ECP

322 ×1.2

CVPR

152 ×0.8

SP

Citations per year, relative to Leila Reddy Leila Reddy (= 1×) peers Davide Zoccolan

Countries citing papers authored by Leila Reddy

Since Specialization

Citations

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

Fields of papers citing papers by Leila Reddy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leila Reddy

This figure shows the co-authorship network connecting the top 25 collaborators of Leila Reddy. A scholar is included among the top collaborators of Leila Reddy 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 Leila Reddy. Leila Reddy 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:

20 of 20 papers shown

1.

Mozafari, Milad, et al.. (2021). Multimodal neural networks better explain multivoxel patterns in the\n hippocampus. arXiv (Cornell University). 11 indexed citations

2.

Reddy, Leila, Benedikt Zoefel, Jessy K. Possel, et al.. (2021). Human Hippocampal Neurons Track Moments in a Sequence of Events. Journal of Neuroscience. 41(31). 6714–6725. 32 indexed citations

3.

Berry, I., et al.. (2021). Tentative fMRI signatures of perceptual echoes in early visual cortex. NeuroImage. 237. 118053–118053. 1 indexed citations

4.

Reddy, Leila, Matthew W. Self, Benedikt Zoefel, et al.. (2021). Theta-phase dependent neuronal coding during sequence learning in human single neurons. Nature Communications. 12(1). 4839–4839. 40 indexed citations

5.

Curot, Jonathan, Leila Reddy, Lionel G. Nowak, et al.. (2020). Recording local field potential and neuronal activity with tetrodes in epileptic patients. Journal of Neuroscience Methods. 341. 108759–108759. 18 indexed citations

6.

Rutishauser, Ueli, Leila Reddy, Florian Mormann, & Johannes Sarnthein. (2020). The Architecture of Human Memory: Insights from Human Single-Neuron Recordings. Journal of Neuroscience. 41(5). 883–890. 48 indexed citations

7.

Curot, Jonathan, Marie Denuelle, Jean‐Christophe Sol, et al.. (2019). Neuronal spiking activity highlights a gradient of epileptogenicity in human tuberous sclerosis lesions. Clinical Neurophysiology. 130(4). 537–547. 17 indexed citations

8.

Senoussi, Mehdi, I. Berry, Rufin VanRullen, & Leila Reddy. (2016). Multivoxel Object Representations in Adult Human Visual Cortex Are Flexible: An Associative Learning Study. Journal of Cognitive Neuroscience. 28(6). 852–868. 8 indexed citations

9.

Self, Matthew W., Judith Peters, Jessy K. Possel, et al.. (2016). The Effects of Context and Attention on Spiking Activity in Human Early Visual Cortex. PLoS Biology. 14(3). e1002420–e1002420. 54 indexed citations

10.

Reddy, Leila, Marlène Poncet, Matthew W. Self, et al.. (2015). Learning of anticipatory responses in single neurons of the human medial temporal lobe. Nature Communications. 6(1). 8556–8556. 38 indexed citations

11.

Poncet, Marlène, Leila Reddy, & M. Fabre‐Thorpe. (2012). Presentation time does not affect superordinate-level advantage in ultra-rapid categorization. Journal of Vision. 12(9). 809–809. 1 indexed citations

12.

Poncet, Michel, Leila Reddy, & M. Fabre‐Thorpe. (2011). Animal or dog? Vehicle or car? The answer lies in more information not attention. Perception. 40. 33–33. 1 indexed citations

13.

Reddy, Leila, F. Rémy, Nathalie Vayssière, & Rufin VanRullen. (2010). Neural correlates of the continuous Wagon Wheel Illusion: A functional MRI study. Human Brain Mapping. 32(2). 163–170. 9 indexed citations

14.

Reddy, Leila, Naotsugu Tsuchiya, & T. Serre. (2009). Reading the mind's eye: Decoding category information during mental imagery. NeuroImage. 50(2). 818–825. 206 indexed citations

15.

Reddy, Leila, Farshad Moradi, & Christof Koch. (2007). Top–down biases win against focal attention in the fusiform face area. NeuroImage. 38(4). 730–739. 37 indexed citations

16.

Reddy, Leila, et al.. (2006). Face identification in the near-absence of focal attention. Vision Research. 46(15). 2336–2343. 68 indexed citations

17.

Reddy, Leila, Rodrigo Quian Quiroga, Patrick Wilken, Christof Koch, & Itzhak Fried. (2006). A Single-Neuron Correlate of Change Detection and Change Blindness in the Human Medial Temporal Lobe. Current Biology. 16(20). 2066–2072. 36 indexed citations

18.

Reddy, Leila & Nancy Kanwisher. (2006). Coding of visual objects in the ventral stream. Current Opinion in Neurobiology. 16(4). 408–414. 106 indexed citations

19.

Quiroga, Rodrigo Quian, Leila Reddy, Gabriel Kreiman, Christof Koch, & Itzhak Fried. (2005). Invariant visual representation by single neurons in the human brain. Nature. 435(7045). 1102–1107. 1136 indexed citations breakdown →

20.

Reddy, Leila, Patrick Wilken, & Christof Koch. (2004). Face-gender discrimination is possible in the near-absence of attention. Journal of Vision. 4(2). 4–4. 127 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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