Vaishaal Shankar

2.4k total citations
16 papers, 401 citations indexed

About

Vaishaal Shankar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Vaishaal Shankar has authored 16 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Vaishaal Shankar's work include Domain Adaptation and Few-Shot Learning (4 papers), COVID-19 diagnosis using AI (3 papers) and Topic Modeling (2 papers). Vaishaal Shankar is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), COVID-19 diagnosis using AI (3 papers) and Topic Modeling (2 papers). Vaishaal Shankar collaborates with scholars based in United States, Israel and Switzerland. Vaishaal Shankar's co-authors include Benjamin Recht, Ludwig Schmidt, Rebecca Roelofs, Eric Jonas, Monica Bobra, J. T. Hoeksema, Tamma Carleton, Solomon Hsiang, Esther Rolf and Ian Bolliger and has published in prestigious journals such as Systematic Biology, Solar Physics and arXiv (Cornell University).

In The Last Decade

Vaishaal Shankar

14 papers receiving 377 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vaishaal Shankar United States	9	168	98	84	82	63	16	401
Haitao Huang Japan	9	253 1.5×	30 0.3×	79 0.9×	59 0.7×	56 0.9×	18	456
Berkay Aydin United States	12	159 0.9×	52 0.5×	97 1.2×	65 0.8×	138 2.2×	58	428
Michael A. Schuh United States	8	99 0.6×	23 0.2×	37 0.4×	55 0.7×	77 1.2×	21	234
Yiru Chen China	8	141 0.8×	24 0.2×	89 1.1×	143 1.7×	10 0.2×	18	362
Andrea Clematis Italy	13	58 0.3×	272 2.8×	139 1.7×	47 0.6×	8 0.1×	90	538
Shaomeng Li United States	8	144 0.9×	163 1.7×	8 0.1×	139 1.7×	43 0.7×	15	417
Dustin Kempton United States	10	110 0.7×	21 0.2×	37 0.4×	52 0.6×	104 1.7×	24	255
Weinan Wang United States	8	46 0.3×	58 0.6×	44 0.5×	20 0.2×	9 0.1×	32	349

Countries citing papers authored by Vaishaal Shankar

Since Specialization

Citations

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

Fields of papers citing papers by Vaishaal Shankar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vaishaal Shankar

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

All Works

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16 of 16 papers shown

Mirzadeh, Seyed Iman, Sachin Mehta, Vaishaal Shankar, et al.. (2025). TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining. 32231–32273.

Zhang, Yuhui, et al.. (2024). Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation. 1281–1287. 1 indexed citations

Shankar, Vaishaal, et al.. (2024). Inferring the Evolutionary Model of Community-Structuring Traits with Convolutional Kitchen Sinks. Systematic Biology. 73(3). 546–561.

Shankar, Vaishaal, et al.. (2023). Masked Autoencoding Does Not Help Natural Language Supervision at Scale. 23432–23444. 3 indexed citations

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

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

Gupta, Vipul, et al.. (2020). Serverless Straggler Mitigation using Error-Correcting Codes. 135–145. 7 indexed citations

Shankar, Vaishaal, Rebecca Roelofs, Horia Mania, et al.. (2020). Evaluating Machine Accuracy on ImageNet. 1. 8634–8644. 21 indexed citations

Rolf, Esther, Jonathan Proctor, Tamma Carleton, et al.. (2020). A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery. arXiv (Cornell University). 74 indexed citations

10.

Shankar, Vaishaal, Karl Krauth, Kailas Vodrahalli, et al.. (2020). Serverless linear algebra. 281–295. 57 indexed citations

11.

Roelofs, Rebecca, Vaishaal Shankar, Benjamin Recht, et al.. (2019). A Meta-Analysis of Overfitting in Machine Learning. Neural Information Processing Systems. 32. 9175–9185. 53 indexed citations

12.

Recht, Benjamin, Rebecca Roelofs, Ludwig Schmidt, & Vaishaal Shankar. (2019). Do ImageNet Classifiers Generalize to ImageNet. International Conference on Machine Learning. 5389–5400. 38 indexed citations

13.

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

14.

Jonas, Eric, Monica Bobra, Vaishaal Shankar, J. T. Hoeksema, & Benjamin Recht. (2018). Flare Prediction Using Photospheric and Coronal Image Data. Solar Physics. 293(3). 66 indexed citations

15.

Shankar, Vaishaal, et al.. (2016). Approximate Subgraph Isomorphism for Image Localization. Electronic Imaging. 28(15). 1–9. 2 indexed citations

16.

Kantchelian, Alex, Michael Carl Tschantz, Sadia Afroz, et al.. (2015). Better Malware Ground Truth. 45–56. 53 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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