Daniel Berjón
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- Advanced Vision and Imaging 15
- Video Surveillance and Tracking Methods 11
- Human Pose and Action Recognition 6
- Image and Video Quality Assessment 6
- Image Enhancement Techniques 6
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- Computer Graphics and Visualization Techniques 6
- Media Technology top 10%
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- Video Coding and Compression Technologies 5
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- 3D Shape Modeling and Analysis 7
- Co-authors
- Narciso Garcı́aFrancisco MoránCarlos CuevasFernando JaureguizarRaquel Martínez‐EspañaCarlos R. del‐BlancoA. Asensio‐LópezJavier Gismero Menoyo
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignMedia Technology
- Journals
- Signal Processing Image Communication (4 papers)IEEE Transactions on Consumer Electronics (2 papers)Scientific Reports (1 paper)
- Partner nations
- SpainSwitzerlandUnited States
In The Last Decade
Daniel Berjón
31 papers receiving 319 citations
Peers
Comparison fields: 5 of 52
- Computer Vision and Pattern Recognition 219
- Computer Graphics and Computer-Aided Design 25
- Media Technology 33
- Signal Processing 35
- Human-Computer Interaction 15
Countries citing papers authored by Daniel Berjón
This map shows the geographic impact of Daniel Berjón'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 Daniel Berjón with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Berjón more than expected).
Fields of papers citing papers by Daniel Berjón
This network shows the impact of papers produced by Daniel Berjón. 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 Daniel Berjón. The network helps show where Daniel Berjón may publish in the future.
Co-authorship network
The 19 scholars most cited alongside Daniel Berjón, 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 | 2024 | 2 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 4 | |
| 7 | 2022 | 24 | |
| 8 | 2022 | 3 | |
| 9 | 2021 | 22 | |
| 10 | 2020 | 48 | |
| 11 | 2019 | 9 | |
| 12 | 2015 | 5 | |
| 13 | Optimal polygonal L1 linearization and fast interpolation of nonlinear systems | 2014 | 3 |
| 14 | Real-time RGB-D data processing on GPU architecture | 2013 | 1 |
| 15 | 2013 | 25 | |
| 16 | 2013 | 0 | |
| 17 | 2013 | 3 | |
| 18 | 2012 | 21 | |
| 19 | 2012 | 1 | |
| 20 | 2012 | 4 |
About Daniel Berjón
Daniel Berjón is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Signal Processing, having authored 33 papers that have together received 328 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (15 papers), Video Surveillance and Tracking Methods (11 papers), 3D Shape Modeling and Analysis (7 papers), Human Pose and Action Recognition (6 papers), Computer Graphics and Visualization Techniques (6 papers), Image and Video Quality Assessment (6 papers), Image Enhancement Techniques (6 papers) and Video Coding and Compression Technologies (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (219 citations), Computer Graphics and Computer-Aided Design (25 citations) and Media Technology (33 citations). Daniel Berjón has collaborated with scholars based in Spain, Switzerland and United States. Frequent co-authors include Narciso Garcı́a, Francisco Morán, Carlos Cuevas, Fernando Jaureguizar, Raquel Martínez‐España, Carlos R. del‐Blanco, A. Asensio‐López, Javier Gismero Menoyo, Guillermo Gallego and Julián Cabrera. Their work appears in journals such as Signal Processing Image Communication, IEEE Transactions on Consumer Electronics, Scientific Reports, IET Radar Sonar & Navigation and IEEE Transactions on Image Processing.
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.