Enric Corona
Impact in
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- Computer Graphics and Visualization Techniques
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- Advanced Vision and Imaging
- Human Pose and Action Recognition
- Generative Adversarial Networks and Image Synthesis
Papers in
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- Human Pose and Action Recognition 8
- Advanced Vision and Imaging 6
- Video Surveillance and Tracking Methods 2
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- 3D Shape Modeling and Analysis 10
- Co-authors
- Francesc Moreno-Noguer (8 shared papers)Albert Pumarola (5 shared papers)Gerard Pons‐Moll (5 shared papers)Guillem Alenyà (7 shared papers)Grégory Rogez (1 shared paper)Carme Torras (2 shared papers)Minh Vo (1 shared paper)Chris Sweeney (1 shared paper)
- Journals
- Pattern Recognition (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Lecture notes in computer science (4 papers)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)UPCommons institutional repository (Universitat Politècnica de Catalunya) (1 paper)
- Partner nations
- SpainUnited StatesGermany
In The Last Decade
Enric Corona
15 papers receiving 1.4k citations
Enric Corona's Hit Papers
Peers
Comparison fields: 5 of 70
- Computer Graphics and Computer-Aided Design 518
- Computer Vision and Pattern Recognition 1.1k
- Computational Mechanics 602
- Human-Computer Interaction 113
- Control and Systems Engineering 293
Countries citing papers authored by Enric Corona
This map shows the geographic impact of Enric Corona'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 Enric Corona with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Enric Corona more than expected).
Fields of papers citing papers by Enric Corona
This network shows the impact of papers produced by Enric Corona. 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 Enric Corona. The network helps show where Enric Corona may publish in the future.
Co-authors
The 19 scholars most cited alongside Enric Corona, 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 | D-NeRF: neural radiance fields for dynamic scenes Hit paper breakdown → | 2021 | 849 |
| 2 | 2020 | 130 | |
| 3 | 2021 | 129 | |
| 4 | 2020 | 100 | |
| 5 | 2017 | 65 | |
| 6 | 2022 | 56 | |
| 7 | 2022 | 26 | |
| 8 | 2023 | 18 | |
| 9 | 2016 | 18 | |
| 10 | 2023 | 12 | |
| 11 | 2024 | 5 | |
| 12 | 2025 | 3 | |
| 13 | 2023 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2024 | 2 |
About Enric Corona
Enric Corona is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Computer Graphics and Computer-Aided Design, Control and Systems Engineering and Artificial Intelligence, having authored 15 papers that have together received 1.4k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (10 papers), Human Pose and Action Recognition (8 papers), Advanced Vision and Imaging (6 papers), Computer Graphics and Visualization Techniques (5 papers), Human Motion and Animation (2 papers), Robot Manipulation and Learning (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Video Surveillance and Tracking Methods (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (518 citations), Computer Vision and Pattern Recognition (1.1k citations), Computational Mechanics (602 citations), Human-Computer Interaction (113 citations) and Control and Systems Engineering (293 citations). Enric Corona has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Francesc Moreno-Noguer, Albert Pumarola, Gerard Pons‐Moll, Guillem Alenyà, Grégory Rogez, Carme Torras, Minh Vo, Chris Sweeney, Lingni Ma and Tomáš Hodaň. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, Lecture notes in computer science, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and UPCommons institutional repository (Universitat Politècnica de Catalunya).
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.