Nataniel Ruiz
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- Computer Graphics and Visualization Techniques 3
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- Generative Adversarial Networks and Image Synthesis 7
- Visual Attention and Saliency Detection 2
- Advanced Vision and Imaging 2
- Image Retrieval and Classification Techniques 2
- Human-Computer Interaction top 5%
- Gaze Tracking and Assistive Technology 3
- Artificial Intelligence top 5%
- Intelligent Tutoring Systems and Adaptive Learning 3
- Signal Processing top 10%
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- Online Learning and Analytics 2
- Co-authors
- Kfir AbermanVarun JampaniYuanzhen LiYael PritchMichael RubinsteinEunji ChongJames M. RehgYongxin Wang
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionHuman-Computer Interaction
- Journals
- ACM Transactions on Graphics (1 paper)IEEE Transactions on Biometrics Behavior and Identity Science (1 paper)Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (1 paper)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Nataniel Ruiz
14 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Computer Graphics and Computer-Aided Design 237
- Computer Vision and Pattern Recognition 842
- Human-Computer Interaction 92
- Artificial Intelligence 292
- Signal Processing 82
Countries citing papers authored by Nataniel Ruiz
This map shows the geographic impact of Nataniel Ruiz'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 Nataniel Ruiz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nataniel Ruiz more than expected).
Fields of papers citing papers by Nataniel Ruiz
This network shows the impact of papers produced by Nataniel Ruiz. 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 Nataniel Ruiz. The network helps show where Nataniel Ruiz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nataniel Ruiz, 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 | 2025 | 1 | |
| 2 | 2024 | 13 | |
| 3 | 2024 | 47 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 87 | |
| 6 | DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generationbreakdown → | 2023 | 955 |
| 7 | 2022 | 8 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 7 | |
| 10 | 2021 | 5 | |
| 11 | 2021 | 1 | |
| 12 | 2020 | 66 | |
| 13 | 2017 | 44 | |
| 14 | 2008 | 62 |
About Nataniel Ruiz
Nataniel Ruiz is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 14 papers that have together received 1.3k indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (7 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers), Gaze Tracking and Assistive Technology (3 papers), Computer Graphics and Visualization Techniques (3 papers), Online Learning and Analytics (2 papers), Visual Attention and Saliency Detection (2 papers), Advanced Vision and Imaging (2 papers) and Image Retrieval and Classification Techniques (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (237 citations), Computer Vision and Pattern Recognition (842 citations) and Human-Computer Interaction (92 citations). Nataniel Ruiz has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Kfir Aberman, Varun Jampani, Yuanzhen Li, Yael Pritch, Michael Rubinstein, Eunji Chong, James M. Rehg, Yongxin Wang, Fang Chen and Bo Yin. Their work appears in journals such as ACM Transactions on Graphics, IEEE Transactions on Biometrics Behavior and Identity Science, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and Clark Digital Commons (Clark 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.