William T. Freeman

About

William T. Freeman is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, William T. Freeman has authored 16 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. Recurrent topics in William T. Freeman’s work include Advanced Vision and Imaging (3 papers), Human Pose and Action Recognition (3 papers) and Educational Games and Gamification (2 papers). William T. Freeman is often cited by papers focused on Advanced Vision and Imaging (3 papers), Human Pose and Action Recognition (3 papers) and Educational Games and Gamification (2 papers). William T. Freeman collaborates with scholars based in United States, Japan and China. William T. Freeman's co-authors include Yair Weiss, Frédo Durand, Michael Rubinstein, Eugene Shih, John V. Guttag, Haoyu Wu, Joshua B. Tenenbaum, Edward H. Adelson, Haoyu Wu and Mark A. Roth and has published in prestigious journals such as ACM Transactions on Graphics, International Journal of Computer Vision and Neural Computation.

In The Last Decade

Co-authorship network of co-authors of William T. Freeman i

Layout:

Gravity: 0.05 Iterations: 100 Initial Temp: 1000 Cooling: 0.99 Min Temp: 1

Fields of papers citing papers by William T. Freeman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William T. Freeman. 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 William T. Freeman. The network helps show where William T. Freeman may publish in the future.

Countries citing papers authored by William T. Freeman

Since Specialization

Citations

This map shows the geographic impact of William T. Freeman'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 William T. Freeman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William T. Freeman 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