Steven Basart

3.4k total citations · 3 hit papers
5 papers, 1.1k citations indexed

About

Steven Basart is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Steven Basart has authored 5 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Signal Processing. Recurrent topics in Steven Basart's work include Adversarial Robustness in Machine Learning (3 papers), Advanced Malware Detection Techniques (1 paper) and Image and Signal Denoising Methods (1 paper). Steven Basart is often cited by papers focused on Adversarial Robustness in Machine Learning (3 papers), Advanced Malware Detection Techniques (1 paper) and Image and Signal Denoising Methods (1 paper). Steven Basart collaborates with scholars based in United States. Steven Basart's co-authors include Dan Hendrycks, Dawn Song, Jacob Steinhardt, Kevin Zhao, Samyak Parajuli, Tyler Zhu, Saurav Kadavath, Justin Gilmer, Fengqiu Wang and Norman Mu and has published in prestigious journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV), arXiv (Cornell University) and International Conference on Learning Representations.

In The Last Decade

Steven Basart

5 papers receiving 1.0k 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.

The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization

2021 503 citations Dan Hendrycks, Steven Basart et al. 2021 IEEE/CVF International Conference on Computer Vision (ICCV) profile →
Natural Adversarial Examples

2021 374 citations Dan Hendrycks, Kevin Zhao et al. profile →
Measuring Massive Multitask Language Understanding

2021 182 citations Dan Hendrycks, Collin Burns et al. International Conference on Learning Representations profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Steven Basart United States	4	825	588	70	42	29	5	1.1k
Justin Gilmer United States	7	667 0.8×	442 0.8×	73 1.0×	25 0.6×	19 0.7×	10	895
Dan Hendrycks United States	11	1.2k 1.4×	739 1.3×	94 1.3×	58 1.4×	30 1.0×	19	1.5k
Alaaeldin El-Nouby Sweden	4	352 0.4×	438 0.7×	79 1.1×	49 1.2×	49 1.7×	6	835
Arash Vahdat Canada	15	601 0.7×	681 1.2×	46 0.7×	56 1.3×	27 0.9×	32	1.2k
Xu Yang China	17	567 0.7×	430 0.7×	68 1.0×	31 0.7×	16 0.6×	55	873
Changyou Chen United States	17	511 0.6×	531 0.9×	44 0.6×	38 0.9×	23 0.8×	55	1.0k
Yidong Chen China	16	501 0.6×	274 0.5×	21 0.3×	40 1.0×	21 0.7×	99	899
Mahsa Baktashmotlagh Australia	15	580 0.7×	482 0.8×	46 0.7×	22 0.5×	24 0.8×	39	945

Countries citing papers authored by Steven Basart

Since Specialization

Citations

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

Fields of papers citing papers by Steven Basart

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Basart

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

5 of 5 papers shown

1.

Hendrycks, Dan, Steven Basart, Norman Mu, et al.. (2021). The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 8320–8329. 503 indexed citations breakdown →

2.

Hendrycks, Dan, Collin Burns, Steven Basart, et al.. (2021). Measuring Massive Multitask Language Understanding. International Conference on Learning Representations. 182 indexed citations breakdown →

3.

Hendrycks, Dan, Kevin Zhao, Steven Basart, Jacob Steinhardt, & Dawn Song. (2021). Natural Adversarial Examples. 15257–15266. 374 indexed citations breakdown →

4.

Hendrycks, Dan, Steven Basart, Mantas Mazeika, et al.. (2019). A Benchmark for Anomaly Segmentation.. arXiv (Cornell University). 23 indexed citations

5.

Hendrycks, Dan & Steven Basart. (2017). A Quantitative Measure of Generative Adversarial Network Distributions. 2 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Justin Gilmer Breakdown of academic impact, for papers by Dan Hendrycks Breakdown of academic impact, for papers by Alaaeldin El-Nouby Breakdown of academic impact, for papers by Arash Vahdat Breakdown of academic impact, for papers by Xu Yang Breakdown of academic impact, for papers by Changyou Chen Breakdown of academic impact, for papers by Yidong Chen Breakdown of academic impact, for papers by Mahsa Baktashmotlagh