Panos Achlioptas
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- Computer Graphics and Visualization Techniques 9
- Geology top 5%
- 3D Surveying and Cultural Heritage 3
- Computational Mechanics top 5%
- 3D Shape Modeling and Analysis 9
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- Human Pose and Action Recognition 4
- Multimodal Machine Learning Applications 3
- Image Processing and 3D Reconstruction 3
- Generative Adversarial Networks and Image Synthesis 2
- Advanced Vision and Imaging 2
- Co-authors
- Leonidas GuibasIoannis MitliagkasOlga DiamantiSergey TulyakovMinhyuk SungMenglei ChaiZeng HuangKyle Olszewski
- Journals
- ACM Transactions on Graphics (3 papers)Computer Graphics Forum (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)
- Partner nations
- United StatesFranceCanada
In The Last Decade
Panos Achlioptas
14 papers receiving 413 citations
Hit Papers
Peers
Comparison fields: 5 of 49
- Computer Graphics and Computer-Aided Design 209
- Geology 112
- Computational Mechanics 297
- Computer Vision and Pattern Recognition 254
- Environmental Engineering 41
Countries citing papers authored by Panos Achlioptas
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
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
The 25 scholars most cited alongside Panos Achlioptas, 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 | 2024 | 2 | |
| 2 | 2023 | 4 | |
| 3 | 2023 | 11 | |
| 4 | 2022 | 4 | |
| 5 | 2022 | 20 | |
| 6 | 2022 | 39 | |
| 7 | 2021 | 12 | |
| 8 | 2020 | 11 | |
| 9 | 2019 | 11 | |
| 10 | Towards a Principled Evaluation of Likeability for Machine-Generated Art | 2019 | 1 |
| 11 | 2019 | 14 | |
| 12 | Learning to Refer to 3D Objects with Natural Language | 2018 | 2 |
| 13 | Representation Learning and Adversarial Generation of 3D Point Clouds | 2017 | 30 |
| 14 | Learning Representations and Generative Models for 3D Point Cloudsbreakdown → | 2017 | 259 |
About Panos Achlioptas
Panos Achlioptas is a scholar working on Computer Graphics and Computer-Aided Design, Geology and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 420 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (9 papers), 3D Shape Modeling and Analysis (9 papers), Human Pose and Action Recognition (4 papers), 3D Surveying and Cultural Heritage (3 papers), Multimodal Machine Learning Applications (3 papers), Image Processing and 3D Reconstruction (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Advanced Vision and Imaging (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (209 citations), Geology (112 citations) and Computational Mechanics (297 citations). Panos Achlioptas has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Leonidas Guibas, Ioannis Mitliagkas, Olga Diamanti, Sergey Tulyakov, Minhyuk Sung, Menglei Chai, Zeng Huang, Kyle Olszewski, Maks Ovsjanikov and Ian Huang. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.