Neal Jean

8 papers and 1.4k indexed citations i.

About

Neal Jean is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Neal Jean has authored 8 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Biomedical Engineering. Recurrent topics in Neal Jean’s work include Multimodal Machine Learning Applications (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Impact of Light on Environment and Health (2 papers). Neal Jean is often cited by papers focused on Multimodal Machine Learning Applications (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Impact of Light on Environment and Health (2 papers). Neal Jean collaborates with scholars based in United States. Neal Jean's co-authors include Stefano Ermon, David B. Lobell, Marshall Burke, Sang Michael Xie, Amr A. E. Saleh, Catherine A. Hogan, Mark Holodniy, Jennifer A. Dionne, Chi-Sing Ho and Stefanie S. Jeffrey and has published in prestigious journals such as Science, Nature Communications and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Neal Jean i

Fields of papers citing papers by Neal Jean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Neal Jean

Since Specialization
Citations

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