Jacob Steinhardt

40 papers and 1.4k indexed citations i.

About

Jacob Steinhardt is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistics and Probability. According to data from OpenAlex, Jacob Steinhardt has authored 40 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 5 papers in Statistics and Probability. Recurrent topics in Jacob Steinhardt’s work include Adversarial Robustness in Machine Learning (12 papers), Machine Learning and Algorithms (8 papers) and Machine Learning and Data Classification (8 papers). Jacob Steinhardt is often cited by papers focused on Adversarial Robustness in Machine Learning (12 papers), Machine Learning and Algorithms (8 papers) and Machine Learning and Data Classification (8 papers). Jacob Steinhardt collaborates with scholars based in United States, United Kingdom and China. Jacob Steinhardt's co-authors include Dawn Song, Dan Hendrycks, Steven Basart, Percy Liang, Kevin Zhao, Zachary C. Lipton, Aditi Raghunathan, Norman Mu, Gregory Valiant and Mantas Mazeika and has published in prestigious journals such as Communications of the ACM, International Journal of Epidemiology and The Annals of Statistics.

In The Last Decade

Co-authorship network of co-authors of Jacob Steinhardt i

Fields of papers citing papers by Jacob Steinhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jacob Steinhardt

Since Specialization
Citations

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

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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