Talia Konkle

7.2k total citations · 2 hit papers
92 papers, 4.1k citations indexed

About

Talia Konkle is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, Talia Konkle has authored 92 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Cognitive Neuroscience, 37 papers in Computer Vision and Pattern Recognition and 10 papers in Social Psychology. Recurrent topics in Talia Konkle's work include Visual perception and processing mechanisms (53 papers), Face Recognition and Perception (47 papers) and Visual Attention and Saliency Detection (31 papers). Talia Konkle is often cited by papers focused on Visual perception and processing mechanisms (53 papers), Face Recognition and Perception (47 papers) and Visual Attention and Saliency Detection (31 papers). Talia Konkle collaborates with scholars based in United States, Canada and Germany. Talia Konkle's co-authors include George A. Alvarez, Aude Oliva, Timothy F. Brady, Alfonso Caramazza, Bria Long, Chen-Ping Yu, Michael B. Cohen, Ken Nakayama, Jonathan F. Gill and Álvaro Pascual‐Leone and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Talia Konkle

87 papers receiving 4.0k citations

Hit Papers

Visual long-term memory h... 2008 2026 2014 2020 2008 2023 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Talia Konkle United States 25 3.4k 843 707 486 339 92 4.1k
Timothy F. Brady United States 28 4.0k 1.2× 858 1.0× 952 1.3× 632 1.3× 425 1.3× 100 4.9k
Mary A. Peterson United States 33 2.9k 0.9× 557 0.7× 801 1.1× 596 1.2× 287 0.8× 126 3.9k
Daniel Kersten United States 36 3.7k 1.1× 895 1.1× 626 0.9× 640 1.3× 126 0.4× 129 4.5k
Denis Fize France 18 4.1k 1.2× 816 1.0× 513 0.7× 467 1.0× 234 0.7× 26 4.9k
Zoe Kourtzi United Kingdom 37 6.1k 1.8× 684 0.8× 1.0k 1.5× 1.1k 2.3× 374 1.1× 134 6.8k
Yaoda Xu United States 30 3.4k 1.0× 328 0.4× 529 0.7× 327 0.7× 297 0.9× 75 3.7k
Dwight J. Kravitz United States 28 3.5k 1.0× 425 0.5× 499 0.7× 374 0.8× 274 0.8× 58 4.0k
Pascal Mamassian France 35 3.0k 0.9× 463 0.5× 1.0k 1.4× 676 1.4× 138 0.4× 162 3.8k
Allison B. Sekuler Canada 42 4.5k 1.3× 962 1.1× 1.1k 1.6× 553 1.1× 165 0.5× 149 5.0k
Shaun P. Vecera United States 35 3.7k 1.1× 519 0.6× 874 1.2× 724 1.5× 375 1.1× 119 4.3k

Countries citing papers authored by Talia Konkle

Since Specialization
Citations

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

Fields of papers citing papers by Talia Konkle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Talia Konkle

This figure shows the co-authorship network connecting the top 25 collaborators of Talia Konkle. A scholar is included among the top collaborators of Talia Konkle 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 Talia Konkle. Talia Konkle 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.
Park, Jeongho, et al.. (2024). Immersive scene representation in human visual cortex with ultra-wide-angle neuroimaging. Nature Communications. 15(1). 5477–5477. 4 indexed citations
2.
Konkle, Talia, et al.. (2024). Quantifying the Quality of Shape and Texture Representations in Deep Neural Network Models. Journal of Vision. 24(10). 1263–1263.
3.
Prince, Jacob S., George A. Alvarez, & Talia Konkle. (2024). Contrastive learning explains the emergence and function of visual category-selective regions. Science Advances. 10(39). eadl1776–eadl1776. 9 indexed citations
4.
Hebart, Martin N., et al.. (2023). Dimensions underlying human understanding of the reachable world. Cognition. 234. 105368–105368. 11 indexed citations
5.
Park, Jeongho, et al.. (2022). Ramp-shaped neural tuning supports graded population-level representation of the object-to-scene continuum. Scientific Reports. 12(1). 18081–18081. 7 indexed citations
6.
Konkle, Talia, et al.. (2022). General object-based features account for letter perception. PLoS Computational Biology. 18(9). e1010522–e1010522. 10 indexed citations
7.
Konkle, Talia, et al.. (2021). The contribution of object size, manipulability, and stability on neural responses to inanimate objects. NeuroImage. 237. 118098–118098. 17 indexed citations
8.
Konkle, Talia, et al.. (2020). Large-scale dissociations between views of objects, scenes, and reachable-scale environments in visual cortex. Proceedings of the National Academy of Sciences. 117(47). 29354–29362. 25 indexed citations
9.
Prince, Jacob S. & Talia Konkle. (2020). Computational evidence for integrated rather than specialized feature tuning in category-selective regions. Journal of Vision. 20(11). 1577–1577. 4 indexed citations
10.
Konkle, Talia, et al.. (2019). Reliability-based voxel selection. NeuroImage. 207. 116350–116350. 30 indexed citations
11.
Quinlan, Derek J., et al.. (2019). Which aspects of size and distance for real objects are coded through the hierarchy of visual areas?. Journal of Vision. 19(10). 15c–15c. 1 indexed citations
12.
Long, Bria, et al.. (2019). Real-world size is automatically encoded in preschoolers’ object representations.. Journal of Experimental Psychology Human Perception & Performance. 45(7). 863–876. 12 indexed citations
14.
Cohen, Michael B., Talia Konkle, Juliana Y. Rhee, Ken Nakayama, & George A. Alvarez. (2014). Processing multiple visual objects is limited by overlap in neural channels. Proceedings of the National Academy of Sciences. 111(24). 8955–8960. 70 indexed citations
15.
Konkle, Talia & Aude Oliva. (2012). A Real-World Size Organization of Object Responses in Occipitotemporal Cortex. Neuron. 74(6). 1114–1124. 306 indexed citations
16.
Brady, Thomas J., Talia Konkle, George A. Alvarez, & Aude Oliva. (2011). Are real-world objects represented as bound units? Independent decay of object details from short-term to long-term memory. Journal of Vision. 11(11). 1289–1289. 1 indexed citations
17.
Bedny, Marina, Talia Konkle, Kevin A. Pelphrey, Rebecca Saxe, & Álvaro Pascual‐Leone. (2010). Sensitive Period for a Multimodal Response in Human Visual Motion Area MT/MST. Current Biology. 20(21). 1900–1906. 125 indexed citations
18.
Brady, Timothy F., Talia Konkle, & George A. Alvarez. (2008). Efficient Coding in Visual Short-Term Memory: Evidence for an Information-Limited Capacity. eScholarship (California Digital Library). 30(30). 1 indexed citations
19.
Carter, Olivia, Talia Konkle, Qi Wang, Vincent Hayward, & Christopher I. Moore. (2008). Tactile Rivalry Demonstrated with an Ambiguous Apparent-Motion Quartet. Current Biology. 18(14). 1050–1054. 67 indexed citations
20.
Konkle, Talia, et al.. (2007). Normative Representation of Objects: Evidence for an Ecological Bias in Object Perception and Memory. eScholarship (California Digital Library). 29(29). 13 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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