William T. Freeman

4.1k total citations · 2 hit papers
21 papers, 2.6k citations indexed

About

William T. Freeman is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, William T. Freeman has authored 21 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Networks and Communications. Recurrent topics in William T. Freeman's work include Bayesian Modeling and Causal Inference (4 papers), Error Correcting Code Techniques (3 papers) and Machine Learning and ELM (2 papers). William T. Freeman is often cited by papers focused on Bayesian Modeling and Causal Inference (4 papers), Error Correcting Code Techniques (3 papers) and Machine Learning and ELM (2 papers). William T. Freeman collaborates with scholars based in United States, Japan and Germany. William T. Freeman's co-authors include Yair Weiss, Jonathan S. Yedidia, Frédo Durand, Michael Rubinstein, John V. Guttag, Eugene Shih, Haoyu Wu, Joshua B. Tenenbaum, Edward H. Adelson and Haoyu Wu and has published in prestigious journals such as ACM Transactions on Graphics, Computer and Neural Computation.

In The Last Decade

William T. Freeman

19 papers receiving 2.4k citations

Hit Papers

Eulerian video magnification for revealing sub... 2000 2026 2008 2017 2012 2000 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Eulerian video magnification for revealing subtle changes in the world
    2012 905 citations Haoyu Wu, Michael Rubinstein et al. ACM Transactions on Graphics profile →
  2. Generalized Belief Propagation
    2000 558 citations Jonathan S. Yedidia, William T. Freeman et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
William T. Freeman United States 12 867 690 655 363 331 21 2.6k
Friedhelm Schwenker Germany 30 828 1.0× 1.4k 2.0× 298 0.5× 103 0.3× 261 0.8× 189 3.2k
A. Enis Çetin Türkiye 28 1.3k 1.5× 327 0.5× 429 0.7× 80 0.2× 147 0.4× 162 2.4k
Panos Trahanias Greece 26 1.4k 1.7× 409 0.6× 304 0.5× 107 0.3× 257 0.8× 127 2.5k
Kamal Nasrollahi Denmark 23 1.4k 1.6× 445 0.6× 317 0.5× 154 0.4× 101 0.3× 97 2.2k
Kenneth E. Barner United States 34 1.7k 1.9× 514 0.7× 928 1.4× 380 1.0× 1.0k 3.1× 215 4.6k
Sreeraman Rajan Canada 25 302 0.3× 574 0.8× 1.1k 1.6× 207 0.6× 687 2.1× 261 2.7k
Syed Aziz Shah United Kingdom 29 549 0.6× 273 0.4× 877 1.3× 374 1.0× 130 0.4× 106 2.1k
Bingo Wing‐Kuen Ling China 26 694 0.8× 351 0.5× 239 0.4× 248 0.7× 151 0.5× 305 2.5k
M.G. Strintzis Greece 37 3.4k 4.0× 490 0.7× 240 0.4× 230 0.6× 172 0.5× 278 4.6k
Raghuveer Rao United States 20 769 0.9× 445 0.6× 195 0.3× 231 0.6× 79 0.2× 110 2.1k

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of William T. Freeman. A scholar is included among the top collaborators of William T. Freeman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with William T. Freeman. William T. Freeman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hu, Yushi, Oscar Michel, Aniruddha Kembhavi, et al.. (2025). Eval3D: Interpretable and Fine-Grained Evaluation for 3D Generation. 13326–13336.
2.
Hamilton, Mark, Andrew Zisserman, John R. Hershey, & William T. Freeman. (2024). Separating the “Chirp” from the “Chat”: Self-supervised Visual Grounding of Sound and Language. 13117–13127. 4 indexed citations
3.
Hu, Yuanming, et al.. (2021). QuanTaichi. ACM Transactions on Graphics. 40(4). 1–16. 26 indexed citations
4.
Wu, Jia-Jun, et al.. (2016). A Comparative Evaluation of Approximate Probabilistic Simulation and Deep Neural Networks as Accounts of Human Physical Scene Understanding. eScholarship (California Digital Library). 1 indexed citations
5.
Wu, Jiajun, Joseph J. Lim, Hongyi Zhang, Joshua B. Tenenbaum, & William T. Freeman. (2016). Physics 101: Learning Physical Object Properties from Unlabeled Videos. 39.1–39.12. 56 indexed citations
6.
Batra, Dhruv, et al.. (2013). Group Norm for Learning Structured SVMs with Unstructured Latent Variables. 409–416. 5 indexed citations
7.
Davis, Andrew G., et al.. (2012). Laser speckle photography for surface tampering detection. 33–40. 13 indexed citations
8.
Wu, Haoyu, Michael Rubinstein, Eugene Shih, et al.. (2012). Eulerian video magnification for revealing subtle changes in the world. ACM Transactions on Graphics. 31(4). 1–8. 174 indexed citations
9.
Wu, Haoyu, Michael Rubinstein, Eugene Shih, et al.. (2012). Eulerian video magnification for revealing subtle changes in the world. ACM Transactions on Graphics. 31(4). 1–8. 905 indexed citations breakdown →
10.
Freeman, William T., et al.. (2008). Human-assisted motion annotation. 1–8. 131 indexed citations
11.
Sudderth, Erik B., Alexander Ihler, William T. Freeman, & Alan S. Willsky. (2002). Nonparametric Belief Propagation and Facial Appearance Estimation. DSpace@MIT (Massachusetts Institute of Technology). 5 indexed citations
12.
Yedidia, Jonathan S., William T. Freeman, & Yair Weiss. (2001). Bethe free energy, Kikuchi approximations, and belief propagation algorithms. 95 indexed citations
13.
Weiss, Yair & William T. Freeman. (2001). Correctness of Belief Propagation in Gaussian Graphical Models of Arbitrary Topology. Neural Computation. 13(10). 2173–2200. 363 indexed citations
14.
Marks, Joe, William T. Freeman, & Henry Leitner. (2001). Teaching applied computing without programming. ACM SIGCSE Bulletin. 33(1). 80–84. 7 indexed citations
15.
Yedidia, Jonathan S., William T. Freeman, & Yair Weiss. (2000). Generalized Belief Propagation. 13. 689–695. 558 indexed citations breakdown →
16.
Weiss, Yaakov & William T. Freeman. (1999). Loopy Belief Propagation Gives Exact Posterior Means for Gaussian. 1 indexed citations
17.
Tenenbaum, Joshua B. & William T. Freeman. (1996). Separating Style and Content. Neural Information Processing Systems. 9. 662–668. 72 indexed citations
18.
Rich, Charles, Richard C. Waters, Carol Strohecker, et al.. (1994). Demonstration of an interactive multimedia environment. Computer. 27(12). 15–22. 22 indexed citations
19.
Rich, Charles, Richard C. Waters, Yves Schabes, et al.. (1994). An animated on-line community with artificial agents. IEEE Multimedia. 1(4). 32–42. 11 indexed citations
20.
Freeman, William T.. (1972). Suggestions regarding certain representations in ALGOL 68. 41–44. 1 indexed citations

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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