Nataniel Ruiz

2.9k total citations · 1 hit paper
14 papers, 1.3k citations indexed

About

Nataniel Ruiz is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Nataniel Ruiz has authored 14 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 3 papers in Human-Computer Interaction. Recurrent topics in Nataniel Ruiz's work include Generative Adversarial Networks and Image Synthesis (7 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers) and Gaze Tracking and Assistive Technology (3 papers). Nataniel Ruiz is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (7 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers) and Gaze Tracking and Assistive Technology (3 papers). Nataniel Ruiz collaborates with scholars based in United States, Australia and Germany. Nataniel Ruiz's co-authors include Kfir Aberman, Varun Jampani, Yuanzhen Li, Yael Pritch, Michael Rubinstein, James M. Rehg, Eunji Chong, Yongxin Wang, Eliathamby Ambikairajah and Fang Chen and has published in prestigious journals such as ACM Transactions on Graphics, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies and IEEE Transactions on Biometrics Behavior and Identity Science.

In The Last Decade

Nataniel Ruiz

14 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

2023 955 citations Nataniel Ruiz, Yuanzhen Li et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Nataniel Ruiz United States	8	842	292	237	139	92	14	1.3k
Amit H. Bermano Israel	19	1.2k 1.4×	174 0.6×	363 1.5×	269 1.9×	105 1.1×	54	1.6k
Ohad Fried United States	13	983 1.2×	177 0.6×	239 1.0×	113 0.8×	39 0.4×	31	1.3k
Uğur Güdükbay Türkiye	20	1.2k 1.5×	204 0.7×	165 0.7×	127 0.9×	135 1.5×	118	1.9k
Mike J. Chantler United Kingdom	20	621 0.7×	160 0.5×	265 1.1×	164 1.2×	74 0.8×	141	1.3k
Naveed Ahmed United Arab Emirates	15	758 0.9×	120 0.4×	271 1.1×	355 2.6×	87 0.9×	66	1.2k
James Tompkin United States	21	981 1.2×	135 0.5×	287 1.2×	225 1.6×	188 2.0×	72	1.4k
Lvmin Zhang Hong Kong	7	1.2k 1.4×	247 0.8×	383 1.6×	210 1.5×	55 0.6×	9	1.7k
Sergey Tulyakov United States	23	1.2k 1.5×	245 0.8×	316 1.3×	282 2.0×	34 0.4×	90	1.9k
John Collomosse United Kingdom	27	2.0k 2.4×	225 0.8×	454 1.9×	297 2.1×	168 1.8×	110	2.5k
Xiaowu Chen China	28	1.6k 1.9×	145 0.5×	277 1.2×	406 2.9×	143 1.6×	106	2.2k

Countries citing papers authored by Nataniel Ruiz

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Nataniel Ruiz

This figure shows the co-authorship network connecting the top 25 collaborators of Nataniel Ruiz. A scholar is included among the top collaborators of Nataniel Ruiz 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 Nataniel Ruiz. Nataniel Ruiz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

1.

Zada, Shiran, David Jacobs, Yael Pritch, et al.. (2025). ReCapture: Generative Video Camera Controls for User-Provided Videos using Masked Video Fine-Tuning. 2050–2062. 1 indexed citations

2.

Tang, Luming, Nataniel Ruiz, Aleksander Holynski, et al.. (2024). RealFill: Reference-Driven Generation for Authentic Image Completion. ACM Transactions on Graphics. 43(4). 1–12. 13 indexed citations

3.

Ruiz, Nataniel, Varun Jampani, Tingbo Hou, et al.. (2024). HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models. 6527–6536. 47 indexed citations

4.

Ruiz, Nataniel, Sarah Adel Bargal, Cihang Xie, & Stan Sclaroff. (2023). Practical Disruption of Image Translation Deepfake Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 37(12). 14478–14486. 6 indexed citations

5.

Raj, Amit, Ben Poole, Michael Niemeyer, et al.. (2023). DreamBooth3D: Subject-Driven Text-to-3D Generation. 2349–2359. 87 indexed citations

6.

Ruiz, Nataniel, Yuanzhen Li, Varun Jampani, et al.. (2023). DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation. 22500–22510. 955 indexed citations breakdown →

7.

Ruiz, Nataniel, Tom Murray, John Magee, et al.. (2022). ATL-BP: A Student Engagement Dataset and Model for Affect Transfer Learning for Behavior Prediction. IEEE Transactions on Biometrics Behavior and Identity Science. 5(3). 411–424. 8 indexed citations

8.

Ruiz, Nataniel, Míriam Bellver, Timo Bolkart, et al.. (2022). Human Body Measurement Estimation with Adversarial Augmentation. 219–230. 3 indexed citations

9.

Ruiz, Nataniel, Adam Kortylewski, Weichao Qiu, et al.. (2022). Simulated Adversarial Testing of Face Recognition Models. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 4135–4145. 7 indexed citations

10.

Ruiz, Nataniel, Thomas F. Murray, John Magee, et al.. (2021). Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System. Clark Digital Commons (Clark University). 1–8. 5 indexed citations

11.

Ruiz, Nataniel, et al.. (2021). MorphGAN: One-Shot Face Synthesis GAN for Detecting Recognition Bias. 1 indexed citations

12.

Chong, Eunji, Yongxin Wang, Nataniel Ruiz, & James M. Rehg. (2020). Detecting Attended Visual Targets in Video. 5395–5405. 66 indexed citations

13.

Chong, Eunji, Zhefan Ye, Audrey Southerland, et al.. (2017). Detecting Gaze Towards Eyes in Natural Social Interactions and Its Use in Child Assessment. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 1(3). 1–20. 44 indexed citations

14.

Yin, Bo, Fang Chen, Nataniel Ruiz, & Eliathamby Ambikairajah. (2008). Speech-based cognitive load monitoring system. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. 2041–2044. 62 indexed citations

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.

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