Gloria Haro
- Computational Mathematics top 5%
-
- Advanced Vision and Imaging 12
- Advanced Image Processing Techniques 8
- Image and Signal Denoising Methods 4
- Video Analysis and Summarization 4
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- Computer Graphics and Visualization Techniques 4
- Media Technology top 10%
- Advanced Image Fusion Techniques 3
- Computational Mechanics top 10%
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- Speech and Audio Processing 9
- Music and Audio Processing 7
- Co-authors
- Coloma BallesterVicent CasellesGuillermo SapiroMontse PardàsAndrés AlmansaV. CasellesJaime GallegoGrégory Randall
- Cited by
- Computational MathematicsComputer Vision and Pattern RecognitionComputer Graphics and Computer-Aided Design
- Journals
- NeuroImage (1 paper)Pattern Recognition (1 paper)International Journal of Computer Vision (2 papers)
- Partner nations
- SpainUnited StatesFrance
In The Last Decade
Gloria Haro
37 papers receiving 411 citations
Peers
Comparison fields: 5 of 70
- Computational Mathematics 18
- Computer Vision and Pattern Recognition 251
- Computer Graphics and Computer-Aided Design 28
- Media Technology 53
- Computational Mechanics 96
Countries citing papers authored by Gloria Haro
This map shows the geographic impact of Gloria Haro'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 Gloria Haro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gloria Haro more than expected).
Fields of papers citing papers by Gloria Haro
This network shows the impact of papers produced by Gloria Haro. 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 Gloria Haro. The network helps show where Gloria Haro may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gloria Haro, 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 | 2022 | 13 | |
| 2 | 2021 | 1 | |
| 3 | Using Player's Body-Orientation to Model Pass Feasibility in Soccer | 2020 | 16 |
| 4 | 2019 | 3 | |
| 5 | 2019 | 14 | |
| 6 | 2018 | 2 | |
| 7 | 2017 | 1 | |
| 8 | 2017 | 2 | |
| 9 | 2016 | 4 | |
| 10 | Statistical Distribution of Common Audio Features | 2013 | 0 |
| 11 | 2012 | 15 | |
| 12 | 2012 | 13 | |
| 13 | 2009 | 1 | |
| 14 | 2009 | 18 | |
| 15 | 2008 | 63 | |
| 16 | 2008 | 4 | |
| 17 | 2008 | 27 | |
| 18 | 2008 | 23 | |
| 19 | 2007 | 42 | |
| 20 | 2006 | 15 |
About Gloria Haro
Gloria Haro is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Signal Processing, having authored 38 papers that have together received 437 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (12 papers), Speech and Audio Processing (9 papers), Advanced Image Processing Techniques (8 papers), Music and Audio Processing (7 papers), Image and Signal Denoising Methods (4 papers), Video Analysis and Summarization (4 papers), Computer Graphics and Visualization Techniques (4 papers) and Advanced Image Fusion Techniques (3 papers). The work is most often cited by research in Computational Mathematics (18 citations), Computer Vision and Pattern Recognition (251 citations) and Computer Graphics and Computer-Aided Design (28 citations). Gloria Haro has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Coloma Ballester, Vicent Caselles, Guillermo Sapiro, Montse Pardàs, Andrés Almansa, V. Caselles, Jaime Gallego, Grégory Randall, Rosa Donat and Yubin Kuang. Their work appears in journals such as NeuroImage, Pattern Recognition and International Journal of Computer Vision.
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.