Matthew Tancik
- Computer Vision and Pattern Recognition top 0.1%
- Computer Graphics and Computer-Aided Design top 0.05%
- Computational Mechanics top 0.5%
- Aerospace Engineering top 1%
- Geology top 0.5%
- Co-authors
- Ren NgBen MildenhallJonathan T. BarronPratul P. SrinivasanAngjoo KanazawaRavi RamamoorthiAlex YuVickie Ye
- Topics
- Advanced Vision and Imaging (9 papers)Computer Graphics and Visualization Techniques (9 papers)3D Shape Modeling and Analysis (8 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionAcoustics and Ultrasonics
- Partner nations
- United States
In The Last Decade
Matthew Tancik
20 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Computer Vision and Pattern Recognition 4.2k
- Computer Graphics and Computer-Aided Design 2.4k
- Computational Mechanics 1.8k
- Aerospace Engineering 855
- Geology 536
Countries citing papers authored by Matthew Tancik
This map shows the geographic impact of Matthew Tancik'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 Matthew Tancik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Tancik more than expected).
Fields of papers citing papers by Matthew Tancik
This network shows the impact of papers produced by Matthew Tancik. 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 Matthew Tancik. The network helps show where Matthew Tancik may publish in the future.
Co-authorship network of co-authors of Matthew Tancik
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Tancik. A scholar is included among the top collaborators of Matthew Tancik 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 Matthew Tancik. Matthew Tancik 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 | 13 | |
| 3 | Instruct-NeRF2NeRF: Editing 3D Scenes with Instructionsbreakdown → | 127 |
| 4 | LERF: Language Embedded Radiance Fieldsbreakdown → | 128 |
| 5 | 38 | |
| 6 | 17 | |
| 7 | Plenoxels: Radiance Fields without Neural Networksbreakdown → | 735 |
| 8 | Block-NeRF: Scalable Large Scene Neural View Synthesisbreakdown → | 413 |
| 9 | 124 | |
| 10 | NeRFbreakdown → | 2680 |
| 11 | PlenOctrees for Real-time Rendering of Neural Radiance Fieldsbreakdown → | 520 |
| 12 | 2 | |
| 13 | pixelNeRF: Neural Radiance Fields from One or Few Imagesbreakdown → | 822 |
| 14 | Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains | 36 |
| 15 | 1 | |
| 16 | 8 | |
| 17 | 6 | |
| 18 | 75 | |
| 19 | 44 | |
| 20 | 89 |
About Matthew Tancik
Matthew Tancik is a scholar working on Acoustics and Ultrasonics, Computer Graphics and Computer-Aided Design and Instrumentation, having authored 20 papers that have together received 5.9k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (9 papers), Computer Graphics and Visualization Techniques (9 papers) and 3D Shape Modeling and Analysis (8 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (2.4k citations), Computer Vision and Pattern Recognition (4.2k citations) and Acoustics and Ultrasonics (97 citations). Matthew Tancik has collaborated with scholars based in United States. Frequent co-authors include Ren Ng, Ben Mildenhall, Jonathan T. Barron, Pratul P. Srinivasan, Angjoo Kanazawa, Ravi Ramamoorthi, Alex Yu, Vickie Ye, Sara Fridovich-Keil and Benjamin Recht. Their work appears in journals such as Nature Photonics, Communications of the ACM and Optics Express.
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.