Edoardo Remelli
Impact in
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
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- Computer Graphics and Visualization Techniques
Papers in
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- Human Pose and Action Recognition 4
- Advanced Vision and Imaging 2
- Video Analysis and Summarization 1
- Multimodal Machine Learning Applications 1
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- Human Motion and Animation 2
- Co-authors
- Mark V. Pauly (2 shared papers)Andrea Tagliasacchi (2 shared papers)Anastasia Tkach (2 shared papers)Robert Wang (1 shared paper)Sina Honari (1 shared paper)Pascal Fua (2 shared papers)Shangchen Han (1 shared paper)Andrew Fitzgibbon (1 shared paper)
- Journals
- ACM Transactions on Graphics (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Infoscience (Ecole Polytechnique Fédérale de Lausanne) (1 paper)
- Partner nations
- SwitzerlandUnited StatesCanada
In The Last Decade
Edoardo Remelli
7 papers receiving 219 citations
Peers
Comparison fields: 5 of 36
- Human-Computer Interaction 97
- Computer Graphics and Computer-Aided Design 33
- Computer Vision and Pattern Recognition 193
- Control and Systems Engineering 68
- Computational Mechanics 52
Countries citing papers authored by Edoardo Remelli
This map shows the geographic impact of Edoardo Remelli'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 Edoardo Remelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edoardo Remelli more than expected).
Fields of papers citing papers by Edoardo Remelli
This network shows the impact of papers produced by Edoardo Remelli. 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 Edoardo Remelli. The network helps show where Edoardo Remelli may publish in the future.
Co-authors
The 25 scholars most cited alongside Edoardo Remelli, 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 | 2020 | 84 | |
| 2 | 2017 | 62 | |
| 3 | 2022 | 45 | |
| 4 | 2017 | 31 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2025 | 0 |
About Edoardo Remelli
Edoardo Remelli is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Computational Mechanics, Human-Computer Interaction and Computer Graphics and Computer-Aided Design, having authored 8 papers that have together received 228 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (4 papers), Hand Gesture Recognition Systems (2 papers), Advanced Vision and Imaging (2 papers), Human Motion and Animation (2 papers), Computer Graphics and Visualization Techniques (2 papers), 3D Shape Modeling and Analysis (2 papers), Video Analysis and Summarization (1 paper) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Human-Computer Interaction (97 citations), Computer Graphics and Computer-Aided Design (33 citations), Computer Vision and Pattern Recognition (193 citations), Control and Systems Engineering (68 citations) and Computational Mechanics (52 citations). Edoardo Remelli has collaborated with scholars based in Switzerland, United States and Canada. Frequent co-authors include Mark V. Pauly, Andrea Tagliasacchi, Anastasia Tkach, Robert Wang, Sina Honari, Pascal Fua, Shangchen Han, Andrew Fitzgibbon, Zhe Cao and Tomas Simon. Their work appears in journals such as ACM Transactions on Graphics, IEEE Transactions on Pattern Analysis and Machine Intelligence and Infoscience (Ecole Polytechnique Fédérale de Lausanne).
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.