Richard Tucker

2.5k total citations · 2 hit papers
16 papers, 1.1k citations indexed

About

Richard Tucker is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Richard Tucker has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 5 papers in Computer Graphics and Computer-Aided Design and 1 paper in Computational Mechanics. Recurrent topics in Richard Tucker's work include Advanced Vision and Imaging (12 papers), Computer Graphics and Visualization Techniques (5 papers) and Advanced Image Processing Techniques (4 papers). Richard Tucker is often cited by papers focused on Advanced Vision and Imaging (12 papers), Computer Graphics and Visualization Techniques (5 papers) and Advanced Image Processing Techniques (4 papers). Richard Tucker collaborates with scholars based in United States and United Kingdom. Richard Tucker's co-authors include Noah Snavely, Graham Fyffe, John P. Flynn, Tinghui Zhou, Ren Ng, Pratul P. Srinivasan, Ravi Ramamoorthi, Jonathan T. Barron, Michael Broxton and Matthew DuVall and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Richard Tucker

16 papers receiving 1.0k citations

Hit Papers

Stereo magnification 2018 2026 2020 2023 2018 2019 100 200 300
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. Stereo magnification
    2018 396 citations Tinghui Zhou, Richard Tucker et al. ACM Transactions on Graphics profile →
  2. DeepView: View Synthesis With Learned Gradient Descent
    2019 234 citations John P. Flynn, Michael Broxton 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
Richard Tucker United States 10 1.0k 558 247 120 93 16 1.1k
Abhishek Kar United States 10 876 0.9× 442 0.8× 326 1.3× 71 0.6× 130 1.4× 12 988
Zhixin Shu United States 13 824 0.8× 335 0.6× 282 1.1× 51 0.4× 62 0.7× 27 963
Ryan Overbeck United States 11 774 0.8× 520 0.9× 185 0.7× 83 0.7× 37 0.4× 22 847
Vickie Ye United States 5 755 0.7× 447 0.8× 335 1.4× 34 0.3× 97 1.0× 6 892
Julien Philip United States 9 698 0.7× 526 0.9× 316 1.3× 31 0.3× 83 0.9× 14 835
Anpei Chen China 8 612 0.6× 366 0.7× 285 1.2× 19 0.2× 60 0.6× 14 694
Indranil Chakravarty United States 12 602 0.6× 382 0.7× 163 0.7× 150 1.3× 92 1.0× 18 763
Eric R. Chan United States 7 677 0.7× 410 0.7× 376 1.5× 30 0.3× 44 0.5× 8 858
Jean-Sébastien Franco France 14 578 0.6× 200 0.4× 168 0.7× 39 0.3× 192 2.1× 38 662
Michael Potmesil United States 12 711 0.7× 465 0.8× 195 0.8× 152 1.3× 126 1.4× 18 880

Countries citing papers authored by Richard Tucker

Since Specialization
Citations

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

Fields of papers citing papers by Richard Tucker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Tucker

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

All Works

16 of 16 papers shown
1.
2.
Li, Zhengqi, Richard Tucker, Noah Snavely, & Aleksander Holynski. (2024). Generative Image Dynamics. 24142–24153. 11 indexed citations
3.
Tucker, Richard, et al.. (2022). Dimensions of Motion: Monocular Prediction through Flow Subspaces. 454–464. 4 indexed citations
4.
Ye, Vickie, Zhengqi Li, Richard Tucker, Angjoo Kanazawa, & Noah Snavely. (2022). Deformable Sprites for Unsupervised Video Decomposition. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2647–2656. 28 indexed citations
5.
Wu, Shangzhe, Ameesh Makadia, Jiajun Wu, et al.. (2021). De-rendering the World’s Revolutionary Artefacts. 6334–6343. 19 indexed citations
6.
Zhang, Zhoutong, Forrester Cole, Richard Tucker, William T. Freeman, & Tali Dekel. (2021). Consistent depth of moving objects in video. ACM Transactions on Graphics. 40(4). 1–12. 8 indexed citations
7.
Jampani, Varun, Huiwen Chang, Abhishek Kar, et al.. (2021). SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpainting. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 12498–12507. 33 indexed citations
8.
Jakab, Tomáš, Richard Tucker, Ameesh Makadia, et al.. (2021). KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control. 12778–12787. 29 indexed citations
9.
Wang, Yifan, Andy Liu, Richard Tucker, et al.. (2021). Repopulating Street Scenes. 5106–5115. 1 indexed citations
10.
Sitzmann, Vincent, Eric R. Chan, Richard Tucker, Noah Snavely, & Gordon Wetzstein. (2020). MetaSDF: Meta-Learning Signed Distance Functions. arXiv (Cornell University). 33. 10136–10147. 9 indexed citations
11.
Li, Zhengqi, Tali Dekel, Forrester Cole, et al.. (2020). MannequinChallenge: Learning the Depths of Moving People by Watching Frozen People. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(12). 4229–4241. 16 indexed citations
12.
Srinivasan, Pratul P., Richard Tucker, Jonathan T. Barron, et al.. (2019). Pushing the Boundaries of View Extrapolation With Multiplane Images. 175–184. 189 indexed citations
13.
Flynn, John P., Michael Broxton, Paul Debevec, et al.. (2019). DeepView: View Synthesis With Learned Gradient Descent. 2362–2371. 234 indexed citations breakdown →
14.
Li, Zhengqi, Tali Dekel, Forrester Cole, et al.. (2019). Learning the Depths of Moving People by Watching Frozen People. 4516–4525. 117 indexed citations
15.
Zhou, Tinghui, Richard Tucker, John P. Flynn, Graham Fyffe, & Noah Snavely. (2018). Stereo magnification. ACM Transactions on Graphics. 37(4). 1–12. 396 indexed citations breakdown →
16.
Hoh, Roger H., et al.. (1993). Synthetic Vision Technology Demonstration. Volume 3. Flight Tests. Defense Technical Information Center (DTIC). 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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