Matt Botvinick
Impact in
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- Generative Adversarial Networks and Image Synthesis
- Multimodal Machine Learning Applications
- Image Processing and 3D Reconstruction
- Advanced Image Processing Techniques
- Digital Media Forensic Detection
- Human Pose and Action Recognition
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- Computer Graphics and Visualization Techniques
Papers in
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- Advanced Image and Video Retrieval Techniques 1
- Generative Adversarial Networks and Image Synthesis 1
- Multimodal Machine Learning Applications 1
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- Topic Modeling 1
- Co-authors
- Victor Bapst (1 shared paper)Scott Reed (1 shared paper)Aäron van den Oord (1 shared paper)Nal Kalchbrenner (1 shared paper)Nando de Freitas (1 shared paper)Felix Hill (1 shared paper)Adam Santoro (1 shared paper)Xin Ding (1 shared paper)
- Journals
- arXiv (Cornell University) (1 paper)
- Partner nations
- United States
In The Last Decade
Matt Botvinick
2 papers receiving 26 citations
Peers
Comparison fields: 5 of 15
- Computer Vision and Pattern Recognition 28
- Computer Graphics and Computer-Aided Design 3
- Artificial Intelligence 6
- Signal Processing 2
- Geography, Planning and Development 1
Countries citing papers authored by Matt Botvinick
This map shows the geographic impact of Matt Botvinick'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 Botvinick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matt Botvinick more than expected).
Fields of papers citing papers by Matt Botvinick
This network shows the impact of papers produced by Matt Botvinick. 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 Botvinick. The network helps show where Matt Botvinick may publish in the future.
Co-authors
The 13 scholars most cited alongside Matt Botvinick, 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 | Generating Interpretable Images with Controllable Structure | 2017 | 22 |
| 2 | Object-based attention for spatio-temporal reasoning: Outperforming neuro-symbolic models with flexible distributed architectures. | 2020 | 9 |
| 3 | 2022 | 0 | |
| 4 | 2023 | 0 |
About Matt Botvinick
Matt Botvinick is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Infectious Diseases, Organic Chemistry and Surgery, having authored 4 papers that have together received 31 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (1 paper), Topic Modeling (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (28 citations), Computer Graphics and Computer-Aided Design (3 citations), Artificial Intelligence (6 citations), Signal Processing (2 citations) and Geography, Planning and Development (1 citation). Matt Botvinick has collaborated with scholars based in United States. Frequent co-authors include Victor Bapst, Scott Reed, Aäron van den Oord, Nal Kalchbrenner, Nando de Freitas, Felix Hill, Adam Santoro, Xin Ding, Michiel A. Bakker and Jan Balaguer. Their work appears in journals such as arXiv (Cornell University).
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.