Simon Kornblith

15.2k total citations · 3 hit papers
29 papers, 2.4k citations indexed

About

Simon Kornblith is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Simon Kornblith has authored 29 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 12 papers in Cognitive Neuroscience. Recurrent topics in Simon Kornblith's work include Neural dynamics and brain function (10 papers), Advanced Neural Network Applications (10 papers) and Domain Adaptation and Few-Shot Learning (9 papers). Simon Kornblith is often cited by papers focused on Neural dynamics and brain function (10 papers), Advanced Neural Network Applications (10 papers) and Domain Adaptation and Few-Shot Learning (9 papers). Simon Kornblith collaborates with scholars based in United States, United Kingdom and Germany. Simon Kornblith's co-authors include Quoc V. Le, Jonathon Shlens, Earl K. Miller, Rodrigo Quian Quiroga, Florian Mormann, Christof Koch, Itzhak Fried, Mikael Lundqvist, Mohammad Norouzi and Alexander Kraskov and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Simon Kornblith

28 papers receiving 2.4k citations

Hit Papers

Do Better ImageNet Models Transfer Better? 2019 2026 2021 2023 2019 2021 2022 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
Simon Kornblith United States 19 914 785 766 353 252 29 2.4k
Yali Amit United States 23 740 0.8× 636 0.8× 1.5k 1.9× 275 0.8× 264 1.0× 58 3.1k
Ha Hong United States 12 331 0.4× 1.5k 1.9× 544 0.7× 283 0.8× 143 0.6× 23 2.3k
Wieland Brendel Germany 14 839 0.9× 503 0.6× 494 0.6× 144 0.4× 139 0.6× 44 1.9k
Neil C. Rabinowitz United Kingdom 10 3.0k 3.3× 733 0.9× 1.6k 2.0× 248 0.7× 196 0.8× 14 4.6k
Y-Lan Boureau United States 18 1.5k 1.6× 431 0.5× 2.0k 2.6× 165 0.5× 191 0.8× 23 3.9k
Charles F. Cadieu United States 16 363 0.4× 1.9k 2.4× 713 0.9× 170 0.5× 271 1.1× 24 2.7k
Qi Zhao United States 30 529 0.6× 875 1.1× 2.0k 2.6× 119 0.3× 92 0.4× 105 3.2k
Huiguang He China 35 485 0.5× 2.4k 3.1× 543 0.7× 658 1.9× 281 1.1× 180 3.9k
Erhardt Barth Germany 28 407 0.4× 746 1.0× 1.6k 2.0× 346 1.0× 117 0.5× 128 3.3k
Reza Boostani Iran 29 546 0.6× 1.8k 2.3× 440 0.6× 279 0.8× 333 1.3× 243 3.6k

Countries citing papers authored by Simon Kornblith

Since Specialization
Citations

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

Fields of papers citing papers by Simon Kornblith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Kornblith

This figure shows the co-authorship network connecting the top 25 collaborators of Simon Kornblith. A scholar is included among the top collaborators of Simon Kornblith 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 Simon Kornblith. Simon Kornblith 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.
Greff, Klaus, Bernhard Spitzer, Simon Kornblith, et al.. (2025). Aligning machine and human visual representations across abstraction levels. Nature. 647(8089). 349–355.
2.
Rajimehr, Reza, et al.. (2024). Functional architecture of cerebral cortex during naturalistic movie watching. Neuron. 112(24). 4130–4146.e3. 8 indexed citations
3.
Beyer, Lucas, Pavel Izmailov, А. И. Колесников, et al.. (2023). FlexiViT: One Model for All Patch Sizes. 14496–14506. 43 indexed citations
4.
Kornblith, Simon, Lala Li, Zi-Rui Wang, & Thao Nguyen. (2023). Guiding image captioning models toward more specific captions. 15213–15223. 6 indexed citations
5.
Kar, Kohitij, Simon Kornblith, & Evelina Fedorenko. (2022). Interpretability of artificial neural network models in artificial intelligence versus neuroscience. Nature Machine Intelligence. 4(12). 1065–1067. 23 indexed citations
6.
Huynh, Tri, Simon Kornblith, Matthew R. Walter, Michael Maire, & Maryam Khademi. (2022). Boosting Contrastive Self-Supervised Learning with False Negative Cancellation. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 986–996. 90 indexed citations
7.
Nguyen, Thao, Maithra Raghu, & Simon Kornblith. (2021). Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth. arXiv (Cornell University). 52 indexed citations
8.
Brincat, Scott L., Jacob Donoghue, Meredith Mahnke, et al.. (2021). Interhemispheric transfer of working memories. Neuron. 109(6). 1055–1066.e4. 30 indexed citations
9.
Hermann, Katherine L., Ting Chen, & Simon Kornblith. (2020). The Origins and Prevalence of Texture Bias in Convolutional Neural Networks. Neural Information Processing Systems. 33. 19000–19015. 7 indexed citations
10.
Hermann, Katherine L. & Simon Kornblith. (2019). Exploring the Origins and Prevalence of Texture Bias in Convolutional Neural Networks.. arXiv (Cornell University). 4 indexed citations
11.
Kornblith, Simon, et al.. (2019). When does label smoothing help. Neural Information Processing Systems. 32. 4694–4703. 70 indexed citations
12.
Elsayed, Gamaleldin F., Simon Kornblith, & Quoc V. Le. (2019). Saccader: Improving Accuracy of Hard Attention Models for Vision. arXiv (Cornell University). 32. 700–712. 5 indexed citations
13.
Bastos, André M., Roman Loonis, Simon Kornblith, Mikael Lundqvist, & Earl K. Miller. (2018). Laminar recordings in frontal cortex suggest distinct layers for maintenance and control of working memory. Proceedings of the National Academy of Sciences. 115(5). 1117–1122. 180 indexed citations
14.
Kornblith, Simon & Doris Y. Tsao. (2017). How thoughts arise from sights: inferotemporal and prefrontal contributions to vision. Current Opinion in Neurobiology. 46. 208–218. 13 indexed citations
15.
Kornblith, Simon, Rodrigo Quian Quiroga, Christof Koch, Itzhak Fried, & Florian Mormann. (2017). Persistent Single-Neuron Activity during Working Memory in the Human Medial Temporal Lobe. Current Biology. 27(7). 1026–1032. 86 indexed citations
16.
Kornblith, Simon, Timothy J. Buschman, & Earl K. Miller. (2015). Stimulus Load and Oscillatory Activity in Higher Cortex. Cerebral Cortex. 26(9). 3772–3784. 65 indexed citations
17.
Mulliken, Grant H., et al.. (2014). Custom-fit radiolucent cranial implants for neurophysiological recording and stimulation. Journal of Neuroscience Methods. 241. 146–154. 22 indexed citations
18.
Kornblith, Simon, Xueqi Cheng, Shay Ohayon, & Doris Y. Tsao. (2013). A Network for Scene Processing in the Macaque Temporal Lobe. Neuron. 79(4). 766–781. 100 indexed citations
19.
Mormann, Florian, Julien Dubois, Simon Kornblith, et al.. (2011). A category-specific response to animals in the right human amygdala. Nature Neuroscience. 14(10). 1247–1249. 124 indexed citations
20.
Mormann, Florian, Simon Kornblith, Rodrigo Quian Quiroga, et al.. (2008). Latency and Selectivity of Single Neurons Indicate Hierarchical Processing in the Human Medial Temporal Lobe. Journal of Neuroscience. 28(36). 8865–8872. 162 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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