Jeff M. Phillips

67 papers and 970 indexed citations i.

About

Jeff M. Phillips is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Jeff M. Phillips has authored 67 papers receiving a total of 970 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 18 papers in Signal Processing. Recurrent topics in Jeff M. Phillips’s work include Data Management and Algorithms (15 papers), Stochastic Gradient Optimization Techniques (8 papers) and Sparse and Compressive Sensing Techniques (8 papers). Jeff M. Phillips is often cited by papers focused on Data Management and Algorithms (15 papers), Stochastic Gradient Optimization Techniques (8 papers) and Sparse and Compressive Sensing Techniques (8 papers). Jeff M. Phillips collaborates with scholars based in United States, Denmark and China. Jeff M. Phillips's co-authors include Suresh Venkatasubramanian, Ran Liu, Carlo Tomasi, Feifei Li, Dong Xie, Sunipa Dev, Neal Patwari, Yang Zhao, Pankaj K. Agarwal and Edo Liberty and has published in prestigious journals such as The American Journal of Gastroenterology, The Laryngoscope and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Co-authorship network of co-authors of Jeff M. Phillips i

Fields of papers citing papers by Jeff M. Phillips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeff M. Phillips. 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 Jeff M. Phillips. The network helps show where Jeff M. Phillips may publish in the future.

Countries citing papers authored by Jeff M. Phillips

Since Specialization
Citations

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