WILLIAM F. WHITNEY

941 total citations · 1 hit paper
7 papers, 302 citations indexed

About

WILLIAM F. WHITNEY is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, WILLIAM F. WHITNEY has authored 7 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 2 papers in Statistical and Nonlinear Physics and 2 papers in Artificial Intelligence. Recurrent topics in WILLIAM F. WHITNEY's work include Model Reduction and Neural Networks (2 papers), Reinforcement Learning in Robotics (2 papers) and Advanced Control Systems Optimization (1 paper). WILLIAM F. WHITNEY is often cited by papers focused on Model Reduction and Neural Networks (2 papers), Reinforcement Learning in Robotics (2 papers) and Advanced Control Systems Optimization (1 paper). WILLIAM F. WHITNEY collaborates with scholars based in United States, United Kingdom and Israel. WILLIAM F. WHITNEY's co-authors include Tejas D. Kulkarni, Pushmeet Kohli, Joshua B. Tenenbaum, Keith E. Mathias, Yann LeCun, Mikael Henaff, V.S. Deshpande, M. Innes Asher, James E. Olson and Rob Fergus and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Artificial Intelligence and arXiv (Cornell University).

In The Last Decade

WILLIAM F. WHITNEY

5 papers receiving 288 citations

Hit Papers

align trajectories

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.

Deep Convolutional Inverse Graphics Network

2015 288 citations Tejas D. Kulkarni, WILLIAM F. WHITNEY et al. arXiv (Cornell University) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
WILLIAM F. WHITNEY United States	3	236	78	47	46	21	7	302
Bill Freeman United States	10	244 1.0×	80 1.0×	73 1.6×	85 1.8×	12 0.6×	19	302
Masaki Saito Japan	6	270 1.1×	53 0.7×	29 0.6×	19 0.4×	33 1.6×	34	356
Yonathan Aflalo Israel	7	152 0.6×	46 0.6×	57 1.2×	121 2.6×	13 0.6×	11	242
Hadar Averbuch‐Elor Israel	9	275 1.2×	60 0.8×	87 1.9×	92 2.0×	32 1.5×	23	360
Katja Schwarz Germany	3	214 0.9×	56 0.7×	83 1.8×	59 1.3×	14 0.7×	3	256
Jeffrey Wu United States	4	231 1.0×	125 1.6×	29 0.6×	20 0.4×	23 1.1×	5	317
Artsiom Sanakoyeu Germany	8	282 1.2×	66 0.8×	53 1.1×	26 0.6×	25 1.2×	13	324
Bahjat Kawar Israel	3	333 1.4×	77 1.0×	87 1.9×	36 0.8×	16 0.8×	5	431
Shanchuan Lin United States	5	223 0.9×	75 1.0×	49 1.0×	58 1.3×	15 0.7×	5	316
Yanze Wu China	3	199 0.8×	54 0.7×	61 1.3×	22 0.5×	14 0.7×	5	281

Countries citing papers authored by WILLIAM F. WHITNEY

Since Specialization

Citations

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

Fields of papers citing papers by WILLIAM F. WHITNEY

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by WILLIAM F. WHITNEY. 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 F. WHITNEY. The network helps show where WILLIAM F. WHITNEY may publish in the future.

Co-authorship network of co-authors of WILLIAM F. WHITNEY

This figure shows the co-authorship network connecting the top 25 collaborators of WILLIAM F. WHITNEY. A scholar is included among the top collaborators of WILLIAM F. WHITNEY 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 F. WHITNEY. WILLIAM F. WHITNEY is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

WHITNEY, WILLIAM F., et al.. (2025). High-speed X-ray tomography for 4D imaging. Proceedings of the National Academy of Sciences. 122(51). e2521089122–e2521089122.

2.

WHITNEY, WILLIAM F., et al.. (2020). Dynamics-Aware Embeddings. arXiv (Cornell University). 1 indexed citations

3.

WHITNEY, WILLIAM F. & Rob Fergus. (2018). Understanding the Asymptotic Performance of Model-Based RL Methods.

4.

Henaff, Mikael, WILLIAM F. WHITNEY, & Yann LeCun. (2017). Model-Based Planning in Discrete Action Spaces.. 3 indexed citations

5.

Kulkarni, Tejas D., WILLIAM F. WHITNEY, Pushmeet Kohli, & Joshua B. Tenenbaum. (2015). Deep Convolutional Inverse Graphics Network. arXiv (Cornell University). 28. 2539–2547. 288 indexed citations breakdown →

6.

WHITNEY, WILLIAM F., et al.. (1996). Evaluating evolutionary algorithms. Artificial Intelligence. 84(1-2). 357–358. 8 indexed citations

7.

Asher, M. Innes, et al.. (1979). The myelomeningocele patient. A multidisciplinary approach to care.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 80(7). 403–8, 413. 2 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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