Logan Engstrom

16 papers and 586 indexed citations i.

About

Logan Engstrom is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Logan Engstrom has authored 16 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Logan Engstrom’s work include Adversarial Robustness in Machine Learning (13 papers), Advanced Neural Network Applications (5 papers) and COVID-19 diagnosis using AI (3 papers). Logan Engstrom is often cited by papers focused on Adversarial Robustness in Machine Learning (13 papers), Advanced Neural Network Applications (5 papers) and COVID-19 diagnosis using AI (3 papers). Logan Engstrom collaborates with scholars based in United States. Logan Engstrom's co-authors include Andrew Ilyas, Aleksander Mądry, Dimitris Tsipras, Anish Athalye, Brandon Tran, Shibani Santurkar, Ludwig Schmidt, Larry Rudolph, Firdaus Janoos and Alexander Turner and has published in prestigious journals such as PLoS ONE, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Logan Engstrom i

Fields of papers citing papers by Logan Engstrom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Logan Engstrom

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025