Simon Kornblith

15.3k citations
29 papers · 2.5k · 3 hit papers · h-index 19

Impact in

Papers in

Simon Kornblith

29 papers receiving 2.5k citations

Simon Kornblith's Hit Papers

Robust fine-tuning of zero-shot models 2022 · 223 citations
2230+2+4Years since publication200400600

Peers

Simon Kornblith
Comparison fields: 5 of 157
  • Cognitive Neuroscience 765
  • Computer Vision and Pattern Recognition 780
  • Health Informatics 40
  • Artificial Intelligence 918
  • Radiology, Nuclear Medicine and Imaging 335
Replace Neil C. Rabinowitz with:
Neil C. Rabinowitz United Kingdom
Erhardt Barth Germany
Wieland Brendel Germany
Huiguang He China
Ha Hong United States
Charles F. Cadieu United States
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Simon Kornblith, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Simon Kornblith Line = papers co-authored together Simon Kornblith links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Do Better ImageNet Models Transfer Better?
Hit paper breakdown →
2019684
2
Big Self-Supervised Models Advance Medical Image Classification
Hit paper breakdown →
2021347
3
Robust fine-tuning of zero-shot models
Hit paper breakdown →
2022223
4 2018187
5 2008162
6 2011124
7 2013100
8 202298
9 201789
10 202274
11
When does label smoothing help
201970
12 201567
13
Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth
202154
14 202347
15 201735
16 202131
17 202327
18 202223
19 201422
20 201713

About Simon Kornblith

Simon Kornblith is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience, having authored 29 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neural dynamics and brain function (10 papers), Advanced Neural Network Applications (10 papers), Domain Adaptation and Few-Shot Learning (9 papers), Memory and Neural Mechanisms (6 papers), Multimodal Machine Learning Applications (5 papers), Visual perception and processing mechanisms (4 papers), Face Recognition and Perception (3 papers) and Adversarial Robustness in Machine Learning (3 papers). The work is most often cited by research in Cognitive Neuroscience (765 citations), Computer Vision and Pattern Recognition (780 citations), Health Informatics (40 citations), Artificial Intelligence (918 citations) and Radiology, Nuclear Medicine and Imaging (335 citations). Simon Kornblith has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Quoc V. Le, Jonathon Shlens, Earl K. Miller, Rodrigo Quian Quiroga, Christof Koch, Florian Mormann, Itzhak Fried, Mikael Lundqvist, Mohammad Norouzi and André M. Bastos. Their work appears in journals such as Neuron, Proceedings of the National Academy of Sciences, Current Biology, Journal of Neuroscience and Nature Machine Intelligence.

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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