Panos Achlioptas

1.1k total citations · 1 hit paper
14 papers, 420 citations indexed

About

Panos Achlioptas is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Panos Achlioptas has authored 14 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 9 papers in Computational Mechanics and 9 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Panos Achlioptas's work include Computer Graphics and Visualization Techniques (9 papers), 3D Shape Modeling and Analysis (9 papers) and Human Pose and Action Recognition (4 papers). Panos Achlioptas is often cited by papers focused on Computer Graphics and Visualization Techniques (9 papers), 3D Shape Modeling and Analysis (9 papers) and Human Pose and Action Recognition (4 papers). Panos Achlioptas collaborates with scholars based in United States, France and Canada. Panos Achlioptas's co-authors include Leonidas Guibas, Ioannis Mitliagkas, Olga Diamanti, Sergey Tulyakov, Minhyuk Sung, Menglei Chai, Zeng Huang, Kyle Olszewski, Maks Ovsjanikov and Ian Huang and has published in prestigious journals such as ACM Transactions on Graphics, Computer Graphics Forum and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Panos Achlioptas

14 papers receiving 413 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.

Learning Representations and Generative Models for 3D Point Clouds

2017 259 citations Panos Achlioptas, Olga Diamanti et al. arXiv (Cornell University) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Panos Achlioptas United States	9	297	254	209	112	41	14	420
Zekun Hao United States	4	294 1.0×	299 1.2×	231 1.1×	74 0.7×	29 0.7×	7	456
Marie‐Julie Rakotosaona United States	7	159 0.5×	208 0.8×	104 0.5×	96 0.9×	77 1.9×	8	350
Matthias Niesner Germany	7	230 0.8×	205 0.8×	90 0.4×	135 1.2×	80 2.0×	8	361
Chen Kong United States	8	231 0.8×	285 1.1×	131 0.6×	91 0.8×	27 0.7×	9	379
Marc Pouget France	10	345 1.2×	150 0.6×	216 1.0×	67 0.6×	44 1.1×	21	459
Ruixuan Yu China	6	175 0.6×	190 0.7×	47 0.2×	108 1.0×	46 1.1×	10	315
Songfang Han United States	8	114 0.4×	308 1.2×	77 0.4×	117 1.0×	70 1.7×	12	412
Alireza Javaheri Portugal	7	158 0.5×	168 0.7×	107 0.5×	75 0.7×	77 1.9×	8	272
Qingan Yan China	15	127 0.4×	325 1.3×	102 0.5×	111 1.0×	39 1.0×	26	440
Joel Daniels United States	10	244 0.8×	150 0.6×	236 1.1×	66 0.6×	47 1.1×	14	396

Countries citing papers authored by Panos Achlioptas

Since Specialization

Citations

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

Fields of papers citing papers by Panos Achlioptas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Panos Achlioptas

This figure shows the co-authorship network connecting the top 25 collaborators of Panos Achlioptas. A scholar is included among the top collaborators of Panos Achlioptas 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 Panos Achlioptas. Panos Achlioptas 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.

Olszewski, Kyle, et al.. (2024). ScanEnts3D: Exploiting Phrase-to-3D-Object Correspondences for Improved Visio-Linguistic Models in 3D Scenes. 3512–3522. 2 indexed citations

2.

Menapace, Willi, Aliaksandr Siarohin, Stéphane Lathuilière, et al.. (2023). Promptable Game Models: Text-guided Game Simulation via Masked Diffusion Models. ACM Transactions on Graphics. 43(2). 1–16. 4 indexed citations

3.

Achlioptas, Panos, Ian Huang, Minhyuk Sung, Sergey Tulyakov, & Leonidas Guibas. (2023). ShapeTalk: A Language Dataset and Framework for 3D Shape Edits and Deformations. 12685–12694. 11 indexed citations

4.

Huang, Ian, et al.. (2022). LADIS: Language Disentanglement for 3D Shape Editing. 5519–5532. 4 indexed citations

5.

Huang, Ian, et al.. (2022). PartGlot: Learning Shape Part Segmentation from Language Reference Games. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 16484–16493. 20 indexed citations

6.

Olszewski, Kyle, et al.. (2022). NeROIC. ACM Transactions on Graphics. 41(4). 1–12. 39 indexed citations

7.

Achlioptas, Panos, Jun Chen, Jiaji Huang, et al.. (2021). Exploring Long Tail Visual Relationship Recognition with Large Vocabulary. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 15901–15910. 12 indexed citations

8.

Sung, Minhyuk, Zhenyu Jiang, Panos Achlioptas, Niloy J. Mitra, & Leonidas Guibas. (2020). DeformSyncNet. ACM Transactions on Graphics. 39(6). 1–16. 11 indexed citations

9.

Rakotosaona, Marie‐Julie, et al.. (2019). OperatorNet: Recovering 3D Shapes From Difference Operators. SPIRE - Sciences Po Institutional REpository. 8587–8596. 11 indexed citations

10.

Achlioptas, Panos, et al.. (2019). Towards a Principled Evaluation of Likeability for Machine-Generated Art. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 1 indexed citations

11.

Achlioptas, Panos, et al.. (2019). Limit Shapes – A Tool for Understanding Shape Differences and Variability in 3D Model Collections. Computer Graphics Forum. 38(5). 187–202. 14 indexed citations

12.

Achlioptas, Panos, et al.. (2018). Learning to Refer to 3D Objects with Natural Language. 2 indexed citations

13.

Achlioptas, Panos, Olga Diamanti, Ioannis Mitliagkas, & Leonidas Guibas. (2017). Representation Learning and Adversarial Generation of 3D Point Clouds. arXiv (Cornell University). 30 indexed citations

14.

Achlioptas, Panos, Olga Diamanti, Ioannis Mitliagkas, & Leonidas Guibas. (2017). Learning Representations and Generative Models for 3D Point Clouds. arXiv (Cornell University). 40–49. 259 indexed citations breakdown →

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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