Eric R. Chan

1.7k total citations · 1 hit paper
8 papers, 858 citations indexed

About

Eric R. Chan is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Eric R. Chan has authored 8 papers receiving a total of 858 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Computer Graphics and Computer-Aided Design and 4 papers in Computational Mechanics. Recurrent topics in Eric R. Chan's work include Computer Graphics and Visualization Techniques (6 papers), Advanced Vision and Imaging (6 papers) and 3D Shape Modeling and Analysis (4 papers). Eric R. Chan is often cited by papers focused on Computer Graphics and Visualization Techniques (6 papers), Advanced Vision and Imaging (6 papers) and 3D Shape Modeling and Analysis (4 papers). Eric R. Chan collaborates with scholars based in United States. Eric R. Chan's co-authors include Gordon Wetzstein, Connor Z. Lin, Koki Nagano, Tero Karras, Matthew A. Chan, Shalini De Mello, Sameh Khamis, Boxiao Pan, Orazio Gallo and Leonidas Guibas and has published in prestigious journals such as ACM Transactions on Graphics, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).

In The Last Decade

Eric R. Chan

8 papers receiving 839 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.

Efficient Geometry-aware 3D Generative Adversarial Networks

2022 600 citations Eric R. Chan, Connor Z. Lin et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eric R. Chan United States	7	677	410	376	62	48	8	858
Connor Z. Lin United States	3	576 0.9×	341 0.8×	322 0.9×	49 0.8×	45 0.9×	4	716
Zhixin Shu United States	13	824 1.2×	335 0.8×	282 0.8×	37 0.6×	48 1.0×	27	963
Matthew A. Chan United States	2	544 0.8×	327 0.8×	298 0.8×	53 0.9×	35 0.7×	4	666
Boxiao Pan United States	4	724 1.1×	294 0.7×	283 0.8×	53 0.9×	116 2.4×	9	845
Xiaoshuai Zhang China	11	604 0.9×	336 0.8×	226 0.6×	23 0.4×	38 0.8×	20	777
Vickie Ye United States	5	755 1.1×	447 1.1×	335 0.9×	37 0.6×	27 0.6×	6	892
Michael Niemeyer United States	8	491 0.7×	322 0.8×	285 0.8×	49 0.8×	22 0.5×	14	629
Anpei Chen China	8	612 0.9×	366 0.9×	285 0.8×	23 0.4×	23 0.5×	14	694
Daniel Sýkora Czechia	20	895 1.3×	571 1.4×	415 1.1×	163 2.6×	19 0.4×	49	1.1k
Zhengqi Li United States	12	774 1.1×	347 0.8×	231 0.6×	39 0.6×	31 0.6×	20	920

Countries citing papers authored by Eric R. Chan

Since Specialization

Citations

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

Fields of papers citing papers by Eric R. Chan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric R. Chan. 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 Eric R. Chan. The network helps show where Eric R. Chan may publish in the future.

Co-authorship network of co-authors of Eric R. Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Eric R. Chan. A scholar is included among the top collaborators of Eric R. Chan 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 Eric R. Chan. Eric R. Chan 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:

8 of 8 papers shown

1.

Nguyen, Cindy M., Eric R. Chan, Alexander W. Bergman, & Gordon Wetzstein. (2024). Diffusion in the Dark: A Diffusion Model for Low-Light Text Recognition. 4134–4145. 13 indexed citations

2.

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

3.

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

4.

Chan, Eric R., Connor Z. Lin, Matthew A. Chan, et al.. (2022). Efficient Geometry-aware 3D Generative Adversarial Networks. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 16102–16112. 600 indexed citations breakdown →

5.

Martel, Julien, et al.. (2021). Acorn. ACM Transactions on Graphics. 40(4). 1–13. 111 indexed citations

6.

Martel, Julien, et al.. (2021). Acorn. ACM Transactions on Graphics. 40(4). 1–13. 3 indexed citations

7.

Sitzmann, Vincent, Eric R. Chan, Richard Tucker, Noah Snavely, & Gordon Wetzstein. (2020). MetaSDF: Meta-Learning Signed Distance Functions. arXiv (Cornell University). 33. 10136–10147. 9 indexed citations

8.

Chan, Eric R., Ren Ng, Pradeep Sen, Kekoa Proudfoot, & Pat Hanrahan. (2002). Efficient partitioning of fragment shaders for multipass rendering on programmable graphics hardware. 69–78. 24 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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