Koki Nagano

3.3k total citations · 3 hit papers
45 papers, 1.7k citations indexed

About

Koki Nagano is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Koki Nagano has authored 45 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 17 papers in Computational Mechanics and 16 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Koki Nagano's work include 3D Shape Modeling and Analysis (17 papers), Computer Graphics and Visualization Techniques (16 papers) and Advanced Vision and Imaging (14 papers). Koki Nagano is often cited by papers focused on 3D Shape Modeling and Analysis (17 papers), Computer Graphics and Visualization Techniques (16 papers) and Advanced Vision and Imaging (14 papers). Koki Nagano collaborates with scholars based in United States, Japan and Italy. Koki Nagano's co-authors include Hao Li, Sameh Khamis, Shalini De Mello, Eric R. Chan, Tero Karras, Gordon Wetzstein, Matthew A. Chan, Leonidas Guibas, Orazio Gallo and Boxiao Pan and has published in prestigious journals such as ACM Transactions on Graphics, IEEE Signal Processing Magazine and Computer Graphics Forum.

In The Last Decade

Koki Nagano

42 papers receiving 1.6k citations

Hit Papers

Efficient Geometry-aware 3D Generative Adversaria... 2019 2026 2021 2023 2022 2019 2023 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Koki Nagano United States 19 1.4k 531 503 153 130 45 1.7k
Amit H. Bermano Israel 19 1.2k 0.8× 269 0.5× 363 0.7× 174 1.1× 78 0.6× 54 1.6k
Charles Jacobs United States 9 1.6k 1.1× 291 0.5× 575 1.1× 147 1.0× 138 1.1× 11 1.9k
Lvmin Zhang Hong Kong 7 1.2k 0.9× 210 0.4× 383 0.8× 247 1.6× 83 0.6× 9 1.7k
Shalini De Mello United States 12 1.1k 0.8× 336 0.6× 349 0.7× 303 2.0× 46 0.4× 27 1.4k
Christian Richardt United Kingdom 18 1.5k 1.1× 304 0.6× 477 0.9× 63 0.4× 199 1.5× 60 1.7k
Stephen Lombardi United States 16 1.5k 1.1× 701 1.3× 734 1.5× 46 0.3× 201 1.5× 22 1.8k
Ayush Tewari Germany 15 1.7k 1.2× 658 1.2× 515 1.0× 129 0.8× 34 0.3× 30 1.9k
James Tompkin United States 21 981 0.7× 225 0.4× 287 0.6× 135 0.9× 86 0.7× 72 1.4k
Graham Fyffe United States 18 1.4k 1.0× 432 0.8× 731 1.5× 26 0.2× 170 1.3× 41 1.6k
Chris Tchou United States 16 1.3k 0.9× 422 0.8× 990 2.0× 143 0.9× 113 0.9× 21 1.7k

Countries citing papers authored by Koki Nagano

Since Specialization
Citations

This map shows the geographic impact of Koki Nagano'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 Koki Nagano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koki Nagano more than expected).

Fields of papers citing papers by Koki Nagano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Koki Nagano. 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 Koki Nagano. The network helps show where Koki Nagano may publish in the future.

Co-authorship network of co-authors of Koki Nagano

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

All Works

20 of 20 papers shown
1.
Li, Tianye, Ye Yuan, Henry Fuchs, et al.. (2025). BLADE: Single-View Body Mesh Estimation through Accurate Depth Estimation. 21991–22000.
3.
Corvi, Riccardo, et al.. (2024). Synthetic Image Verification in the Era of Generative Artificial Intelligence: What Works and What Isn’t There yet. IEEE Security & Privacy. 22(3). 37–49. 9 indexed citations
4.
Yuan, Ye, Xueting Li, Shalini De Mello, et al.. (2024). GAvatar: Animatable 3D Gaussian Avatars with Implicit Mesh Learning. 896–905. 13 indexed citations
5.
Li, Xueting, et al.. (2024). A Unified Approach for Text-and Image-Guided 4D Scene Generation. 7300–7309. 5 indexed citations
6.
Nagano, Koki, et al.. (2023). Global warming intensifies the interference competition by a poleward-expanding invader on a native dragonfly species. Royal Society Open Science. 10(11). 230449–230449. 5 indexed citations
7.
Stengel, Michael, et al.. (2023). AI-Mediated 3D Video Conferencing. 1–2. 7 indexed citations
8.
Stengel, Michael, Eric R. Chan, Zhiding Yu, et al.. (2023). Real-Time Radiance Fields for Single-Image Portrait View Synthesis. ACM Transactions on Graphics. 42(4). 1–15. 32 indexed citations
9.
Iqbal, Umar, et al.. (2023). RANA: Relightable Articulated Neural Avatars. 23085–23096. 8 indexed citations
10.
Chan, Eric R., Koki Nagano, Matthew A. Chan, et al.. (2023). Generative Novel View Synthesis with 3D-Aware Diffusion Models. 4194–4206. 66 indexed citations
11.
Yeh, Yu-Ying, Koki Nagano, Sameh Khamis, et al.. (2022). Learning to Relight Portrait Images via a Virtual Light Stage and Synthetic-to-Real Adaptation. ACM Transactions on Graphics. 41(6). 1–21. 40 indexed citations
12.
Agarwal, Shruti, Hany Farid, Yuming Gu, et al.. (2019). Protecting World Leaders Against Deep Fakes. Computer Vision and Pattern Recognition. 38–45. 175 indexed citations breakdown →
13.
Nagano, Koki, Shunsuke Saito, Liwen Hu, et al.. (2018). Pinscreen avatars in your pocket. 1–1. 2 indexed citations
14.
Chen, Weikai, Shunsuke Saito, Jun Xing, et al.. (2018). Mesoscopic Facial Geometry Inference Using Deep Neural Networks. 8407–8416. 40 indexed citations
15.
Nagano, Koki, Jaewoo Seo, Jun Xing, et al.. (2018). paGAN. ACM Transactions on Graphics. 37(6). 1–12. 95 indexed citations
16.
Saito, Shunsuke, Koki Nagano, Yajie Zhao, et al.. (2018). High-fidelity facial reflectance and geometry inference from an unconstrained image. ACM Transactions on Graphics. 37(4). 1–14. 89 indexed citations
17.
Fyffe, Graham, Koki Nagano, Shunsuke Saito, et al.. (2017). Multi-View Stereo on Consistent Face Topology. Computer Graphics Forum. 36(2). 295–309. 26 indexed citations
18.
Li, Hao, Shunsuke Saito, Lingyu Wei, et al.. (2017). Pinscreen. 23–23. 2 indexed citations
19.
Xiao, Fuyuan, et al.. (2010). A self-recovery technique for highly-available stream processing over local area networks. Kumamoto University Repository (Kumamoto University). 2406–2411. 1 indexed citations
20.
Aritsugi, Masayoshi & Koki Nagano. (2010). Recovery processing for high availability stream processing systems in local area networks. 9. 1036–1041. 2 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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