Matt Deitke
Impact in
-
- Computer Graphics and Visualization Techniques
-
- Advanced Vision and Imaging
- Image Processing and 3D Reconstruction
- Generative Adversarial Networks and Image Synthesis
- Human Pose and Action Recognition
Papers in
-
- Human Pose and Action Recognition 2
- Multimodal Machine Learning Applications 2
- Image Retrieval and Classification Techniques 1
- Advanced Neural Network Applications 1
- Handwritten Text Recognition Techniques 1
-
- Human Motion and Animation 1
- Robot Manipulation and Learning 1
- Co-authors
- Ali Farhadi (3 shared papers)Aniruddha Kembhavi (4 shared papers)Oscar Michel (1 shared paper)Eli VanderBilt (1 shared paper)Luca Weihs (2 shared papers)Ludwig Schmidt (1 shared paper)Jordi Salvador (1 shared paper)Dustin Schwenk (1 shared paper)
- Partner nations
- United States
In The Last Decade
Matt Deitke
4 papers receiving 235 citations
Matt Deitke's Hit Papers
Peers
Comparison fields: 5 of 34
- Computer Graphics and Computer-Aided Design 97
- Computer Vision and Pattern Recognition 159
- Geology 34
- Computational Mechanics 104
- Control and Systems Engineering 34
Countries citing papers authored by Matt Deitke
This map shows the geographic impact of Matt Deitke'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 Matt Deitke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matt Deitke more than expected).
Fields of papers citing papers by Matt Deitke
This network shows the impact of papers produced by Matt Deitke. 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 Matt Deitke. The network helps show where Matt Deitke may publish in the future.
Co-authors
The 25 scholars most cited alongside Matt Deitke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Objaverse: A Universe of Annotated 3D Objects Hit paper breakdown → | 2023 | 236 |
| 2 | 2023 | 5 | |
| 3 | 2022 | 1 | |
| 4 | 2025 | 1 | |
| 5 | 2023 | 0 | |
| 6 | 2024 | 0 |
About Matt Deitke
Matt Deitke is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Infectious Diseases, Organic Chemistry and Surgery, having authored 6 papers that have together received 243 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (2 papers), Multimodal Machine Learning Applications (2 papers), Human Motion and Animation (1 paper), Robot Manipulation and Learning (1 paper), Image Retrieval and Classification Techniques (1 paper), Advanced Neural Network Applications (1 paper) and Handwritten Text Recognition Techniques (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (97 citations), Computer Vision and Pattern Recognition (159 citations), Geology (34 citations), Computational Mechanics (104 citations) and Control and Systems Engineering (34 citations). Matt Deitke has collaborated with scholars based in United States. Frequent co-authors include Ali Farhadi, Aniruddha Kembhavi, Oscar Michel, Eli VanderBilt, Luca Weihs, Ludwig Schmidt, Jordi Salvador, Dustin Schwenk, Kiana Ehsani and Rose Hendrix.
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.