Richard Tucker
- Computer Vision and Pattern Recognition top 1%
- Computer Graphics and Computer-Aided Design top 0.5%
- Computational Mechanics top 5%
- Media Technology top 5%
- Aerospace Engineering top 10%
- Co-authors
- Noah SnavelyJohn P. FlynnGraham FyffeTinghui ZhouJonathan T. BarronRavi RamamoorthiPratul P. SrinivasanRen Ng
- Topics
- Advanced Vision and Imaging (12 papers)Computer Graphics and Visualization Techniques (5 papers)Advanced Image Processing Techniques (4 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionMedia Technology
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceACM Transactions on Graphics2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Richard Tucker
16 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 48
- Computer Vision and Pattern Recognition 1.0k
- Computer Graphics and Computer-Aided Design 558
- Computational Mechanics 247
- Media Technology 120
- Aerospace Engineering 93
Countries citing papers authored by Richard Tucker
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 11 | |
| 3 | 4 | |
| 4 | 28 | |
| 5 | 19 | |
| 6 | 8 | |
| 7 | 29 | |
| 8 | 1 | |
| 9 | 33 | |
| 10 | 16 | |
| 11 | MetaSDF: Meta-Learning Signed Distance Functions | 9 |
| 12 | 189 | |
| 13 | DeepView: View Synthesis With Learned Gradient Descentbreakdown → | 234 |
| 14 | 117 | |
| 15 | Stereo magnificationbreakdown → | 396 |
| 16 | Synthetic Vision Technology Demonstration. Volume 3. Flight Tests | 1 |
About Richard Tucker
Richard Tucker is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Biophysics, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (12 papers), Computer Graphics and Visualization Techniques (5 papers) and Advanced Image Processing Techniques (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (558 citations), Computer Vision and Pattern Recognition (1.0k citations) and Media Technology (120 citations). Richard Tucker has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Noah Snavely, John P. Flynn, Graham Fyffe, Tinghui Zhou, Jonathan T. Barron, Ravi Ramamoorthi, Pratul P. Srinivasan, Ren Ng, Michael Broxton and Paul Debevec. Their work appears in 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).
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.