Saurav Kadavath is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Infectious Diseases.
According to data from OpenAlex, Saurav Kadavath has authored 2 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Computer Vision and Pattern Recognition, 1 paper in Artificial Intelligence and 0 papers in Infectious Diseases. Recurrent topics in Saurav Kadavath's work include Advanced Vision and Imaging (1 paper), Image and Signal Denoising Methods (1 paper) and Machine Learning and Data Classification (1 paper). Saurav Kadavath is often cited by papers focused on Advanced Vision and Imaging (1 paper), Image and Signal Denoising Methods (1 paper) and Machine Learning and Data Classification (1 paper). Saurav Kadavath collaborates with scholars based in United States. Saurav Kadavath's co-authors include Dan Hendrycks, Dawn Song, Jacob Steinhardt, Steven Basart, Fengqiu Wang, Samyak Parajuli, Justin Gilmer, Tyler Zhu, Norman Mu and Mantas Mazeika and has published in prestigious journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and Neural Information Processing Systems.
In The Last Decade
Saurav Kadavath
2 papers
receiving
556 citations
Hit Papers
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.
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization
2021503 citationsDan Hendrycks, Steven Basart et al.2021 IEEE/CVF International Conference on Computer Vision (ICCV)profile →
Countries citing papers authored by Saurav Kadavath
Since
Specialization
Citations
This map shows the geographic impact of Saurav Kadavath'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 Saurav Kadavath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saurav Kadavath more than expected).
This network shows the impact of papers produced by Saurav Kadavath. 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 Saurav Kadavath. The network helps show where Saurav Kadavath may publish in the future.
Co-authorship network of co-authors of Saurav Kadavath
This figure shows the co-authorship network connecting the top 25 collaborators of Saurav Kadavath.
A scholar is included among the top collaborators of Saurav Kadavath 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 Saurav Kadavath. Saurav Kadavath is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
2 of 2 papers shown
#
Work
Indexed citations
1
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization breakdown →
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