Javier Hernández‐Andrés
- Atomic and Molecular Physics, and Optics top 5%
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience top 5%
- Global and Planetary Change top 10%
- Social Psychology top 5%
- Co-authors
- Javier RomeroRaymond L. LeeJuan L. NievesEva M. ValeroMiguel A. López-ÁlvarezMiguel Ángel Martínez‐DomingoAlison SweeneyEdith A. Widder
- Topics
- Color Science and Applications (49 papers)Visual perception and processing mechanisms (25 papers)Image Enhancement Techniques (21 papers)
- Cited by
- Media TechnologyAtomic and Molecular Physics, and OpticsComputer Vision and Pattern Recognition
- Partner nations
- SpainUnited StatesSweden
In The Last Decade
Javier Hernández‐Andrés
72 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 119
- Atomic and Molecular Physics, and Optics 690
- Computer Vision and Pattern Recognition 337
- Cognitive Neuroscience 257
- Global and Planetary Change 242
- Social Psychology 206
Countries citing papers authored by Javier Hernández‐Andrés
This map shows the geographic impact of Javier Hernández‐Andrés'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 Javier Hernández‐Andrés with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Hernández‐Andrés more than expected).
Fields of papers citing papers by Javier Hernández‐Andrés
This network shows the impact of papers produced by Javier Hernández‐Andrés. 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 Javier Hernández‐Andrés. The network helps show where Javier Hernández‐Andrés may publish in the future.
Co-authorship network of co-authors of Javier Hernández‐Andrés
This figure shows the co-authorship network connecting the top 25 collaborators of Javier Hernández‐Andrés. A scholar is included among the top collaborators of Javier Hernández‐Andrés based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Javier Hernández‐Andrés. Javier Hernández‐Andrés is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 28 | |
| 9 | 26 | |
| 10 | 18 | |
| 11 | 39 | |
| 12 | 22 | |
| 13 | 24 | |
| 14 | 5 | |
| 15 | 28 | |
| 16 | 14 | |
| 17 | 7 | |
| 18 | 29 | |
| 19 | 117 | |
| 20 | 172 |
About Javier Hernández‐Andrés
Javier Hernández‐Andrés is a scholar working on Atomic and Molecular Physics, and Optics, Media Technology and Computer Vision and Pattern Recognition, having authored 78 papers that have together received 1.4k indexed citations. Recurring topics across this work include Color Science and Applications (49 papers), Visual perception and processing mechanisms (25 papers) and Image Enhancement Techniques (21 papers). The work is most often cited by research in Media Technology (196 citations), Atomic and Molecular Physics, and Optics (690 citations) and Computer Vision and Pattern Recognition (337 citations). Javier Hernández‐Andrés has collaborated with scholars based in Spain, United States and Sweden. Frequent co-authors include Javier Romero, Raymond L. Lee, Juan L. Nieves, Eva M. Valero, Miguel A. López-Álvarez, Miguel Ángel Martínez‐Domingo, Alison Sweeney, Edith A. Widder, Almut Kelber and Sönke Johnsen. Their work appears in journals such as IEEE Transactions on Image Processing, Optics Letters and Optics Express.
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.