Rohan Taori

2.7k total citations
5 papers, 44 citations indexed

About

Rohan Taori is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Infectious Diseases. According to data from OpenAlex, Rohan Taori has authored 5 papers receiving a total of 44 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Radiology, Nuclear Medicine and Imaging and 0 papers in Infectious Diseases. Recurrent topics in Rohan Taori's work include COVID-19 diagnosis using AI (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Rohan Taori is often cited by papers focused on COVID-19 diagnosis using AI (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Rohan Taori collaborates with scholars based in United States, Switzerland and Israel. Rohan Taori's co-authors include Ludwig Schmidt, Vaishaal Shankar, Inioluwa Deborah Raji, Achal Dave, Benjamin Recht, Nicholas Carlini, Aditi Raghunathan, Percy Liang, Shiori Sagawa and J. J. Miller and has published in prestigious journals such as arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Rohan Taori

5 papers receiving 40 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rohan Taori United States	3	29	16	6	6	5	5	44
Eric Mitchell United States	5	49 1.7×	11 0.7×	7 1.2×	4 0.7×	7 1.4×	11	77
Rafael Rafailov United States	3	37 1.3×	13 0.8×	5 0.8×	3 0.5×	5 1.0×	4	62
Elli Kanal United States	3	32 1.1×	8 0.5×	2 0.3×	2 0.3×	6 1.2×	3	48
Nishant Subramani United States	5	40 1.4×	16 1.0×	7 1.2×	8 1.3×	8 1.6×	6	67
Ruth Fong United States	4	44 1.5×	37 2.3×	3 0.5×	11 1.8×	6 1.2×	5	73
Yisong Xiao China	5	34 1.2×	25 1.6×	5 0.8×	8 1.3×		10	59
Narine Kokhlikyan United States	5	25 0.9×	7 0.4×	3 0.5×	12 2.0×	6 1.2×	7	39
Sebastin Santy United States	5	49 1.7×	9 0.6×	8 1.3×	9 1.5×	1 0.2×	8	64
Damien Sileo France	4	33 1.1×	5 0.3×	4 0.7×	3 0.5×	3 0.6×	9	47
Fereshte Khani United States	5	41 1.4×	10 0.6×	6 1.0×	2 0.3×	2 0.4×	7	59

Countries citing papers authored by Rohan Taori

Since Specialization

Citations

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

Fields of papers citing papers by Rohan Taori

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rohan Taori

This figure shows the co-authorship network connecting the top 25 collaborators of Rohan Taori. A scholar is included among the top collaborators of Rohan Taori 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 Rohan Taori. Rohan Taori is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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5 of 5 papers shown

1.

Taori, Rohan, Paul C. Tang, Shrinidhi Kowshika Lakshmikanth, et al.. (2025). An Interactive Agent Foundation Model. 3652–3662. 1 indexed citations

2.

Taori, Rohan, et al.. (2021). Are We Learning Yet? A Meta Review of Evaluation Failures Across Machine Learning. Neural Information Processing Systems. 17 indexed citations

3.

Miller, J. J., Rohan Taori, Aditi Raghunathan, et al.. (2021). Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization. arXiv (Cornell University). 7721–7735. 13 indexed citations

4.

Taori, Rohan, Achal Dave, Vaishaal Shankar, et al.. (2020). Measuring Robustness to Natural Distribution Shifts in Image Classification. Neural Information Processing Systems. 33. 18583–18599. 11 indexed citations

5.

Taori, Rohan, Achal Dave, Vaishaal Shankar, et al.. (2019). When Robustness Doesn’t Promote Robustness: Synthetic vs. Natural Distribution Shifts on ImageNet. 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.

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