J. Zico Kolter

About

J. Zico Kolter is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, J. Zico Kolter has authored 91 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Artificial Intelligence, 18 papers in Electrical and Electronic Engineering and 17 papers in Computer Vision and Pattern Recognition. Recurrent topics in J. Zico Kolter’s work include Adversarial Robustness in Machine Learning (20 papers), Machine Learning and Algorithms (12 papers) and Advanced Neural Network Applications (8 papers). J. Zico Kolter is often cited by papers focused on Adversarial Robustness in Machine Learning (20 papers), Machine Learning and Algorithms (12 papers) and Advanced Neural Network Applications (8 papers). J. Zico Kolter collaborates with scholars based in United States, Germany and India. J. Zico Kolter's co-authors include Marcus A. Maloof, Shaojie Bai, Andrew Y. Ng, Paul Pu Liang, Ruslan Salakhutdinov, Yao-Hung Hubert Tsai, Louis‐Philippe Morency, Tommi Jaakkola, Brandon Amos and Sebastian Thrun and has published in prestigious journals such as Science, Environmental Science & Technology and Journal of Fluid Mechanics.

In The Last Decade

Co-authorship network of co-authors of J. Zico Kolter i

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Fields of papers citing papers by J. Zico Kolter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Zico Kolter. 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 J. Zico Kolter. The network helps show where J. Zico Kolter may publish in the future.

Countries citing papers authored by J. Zico Kolter

Since Specialization

Citations

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