Luz Castro
Impact in
- Architecture top 2%
- Architecture and Computational Design
Papers in
-
- Image Retrieval and Classification Techniques 3
- Visual Attention and Saliency Detection 2
-
- Aesthetic Perception and Analysis 4
- Co-authors
- Adrián Carballal (6 shared papers)Nereida Rodríguez-Fernández (4 shared papers)Iria Santos (3 shared papers)Juan Romero (2 shared papers)Álvaro Alesanco (1 shared paper)J. García (1 shared paper)Antonino Santos (2 shared papers)Penousal Machado (2 shared papers)
- Journals
- Complexity (2 papers)Neural Computing and Applications (2 papers)IEEE Journal of Biomedical and Health Informatics (1 paper)Automation in Construction (1 paper)RePEc: Research Papers in Economics (1 paper)
In The Last Decade
Luz Castro
7 papers receiving 246 citations
Peers
Comparison fields: 5 of 82
- Architecture 26
- Computer Graphics and Computer-Aided Design 20
- Geology 29
- Health Informatics 7
- Building and Construction 66
Countries citing papers authored by Luz Castro
This map shows the geographic impact of Luz Castro'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 Luz Castro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luz Castro more than expected).
Fields of papers citing papers by Luz Castro
This network shows the impact of papers produced by Luz Castro. 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 Luz Castro. The network helps show where Luz Castro may publish in the future.
Co-authors
The 10 scholars most cited alongside Luz Castro, 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 | 2021 | 127 | |
| 2 | 2021 | 76 | |
| 3 | 2012 | 22 | |
| 4 | 2016 | 13 | |
| 5 | 2019 | 9 | |
| 6 | 2022 | 6 | |
| 7 | 2014 | 4 |
About Luz Castro
Luz Castro is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Cardiology and Cardiovascular Medicine, Computational Theory and Mathematics and Architecture, having authored 7 papers that have together received 257 indexed citations. Recurring topics across this work include Aesthetic Perception and Analysis (4 papers), Image Retrieval and Classification Techniques (3 papers), Visual Attention and Saliency Detection (2 papers), Architecture and Computational Design (1 paper), Urban Heat Island Mitigation (1 paper), Computer Graphics and Visualization Techniques (1 paper), ECG Monitoring and Analysis (1 paper) and Remote Sensing and Land Use (1 paper). The work is most often cited by research in Architecture (26 citations), Computer Graphics and Computer-Aided Design (20 citations), Geology (29 citations), Health Informatics (7 citations) and Building and Construction (66 citations). Luz Castro has collaborated with scholars based in Spain, Portugal and China. Frequent co-authors include Adrián Carballal, Nereida Rodríguez-Fernández, Iria Santos, Juan Romero, Álvaro Alesanco, J. García, Antonino Santos, Penousal Machado, João Correia and Carlos Fernández-Lozano. Their work appears in journals such as Complexity, Neural Computing and Applications, IEEE Journal of Biomedical and Health Informatics, Automation in Construction and RePEc: Research Papers in Economics.
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.