Nereida Rodríguez-Fernández
- Computational Theory and Mathematics top 5%
- Molecular Biology
- Building and Construction top 10%
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Co-authors
- Adrián CarballalIria SantosLuz CastroCarlos Fernández-LozanoJuan RomeroJosé Liñares-BlancoVíctor MaojoFrancisco Cedrón
- Topics
- Aesthetic Perception and Analysis (5 papers)Visual Attention and Saliency Detection (3 papers)Image and Video Quality Assessment (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaAutomation in ConstructionApplied Sciences
In The Last Decade
Nereida Rodríguez-Fernández
15 papers receiving 495 citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Computational Theory and Mathematics 175
- Molecular Biology 128
- Building and Construction 67
- Computer Vision and Pattern Recognition 58
- Artificial Intelligence 49
Countries citing papers authored by Nereida Rodríguez-Fernández
This map shows the geographic impact of Nereida Rodríguez-Fernández'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 Nereida Rodríguez-Fernández with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nereida Rodríguez-Fernández more than expected).
Fields of papers citing papers by Nereida Rodríguez-Fernández
This network shows the impact of papers produced by Nereida Rodríguez-Fernández. 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 Nereida Rodríguez-Fernández. The network helps show where Nereida Rodríguez-Fernández may publish in the future.
Co-authorship network of co-authors of Nereida Rodríguez-Fernández
This figure shows the co-authorship network connecting the top 25 collaborators of Nereida Rodríguez-Fernández. A scholar is included among the top collaborators of Nereida Rodríguez-Fernández 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 Nereida Rodríguez-Fernández. Nereida Rodríguez-Fernández is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 6 | |
| 3 | 6 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | A review on machine learning approaches and trends in drug discoverybreakdown → | 264 |
| 8 | 127 | |
| 9 | 76 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 7 | |
| 13 | 1 | |
| 14 | 9 | |
| 15 | 2 |
About Nereida Rodríguez-Fernández
Nereida Rodríguez-Fernández is a scholar working on Computer Graphics and Computer-Aided Design, Architecture and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 517 indexed citations. Recurring topics across this work include Aesthetic Perception and Analysis (5 papers), Visual Attention and Saliency Detection (3 papers) and Image and Video Quality Assessment (3 papers). The work is most often cited by research in Architecture (26 citations), Computational Theory and Mathematics (175 citations) and Health Informatics (14 citations). Nereida Rodríguez-Fernández has collaborated with scholars based in Spain, Portugal and France. Frequent co-authors include Adrián Carballal, Iria Santos, Luz Castro, Carlos Fernández-Lozano, Juan Romero, José Liñares-Blanco, Víctor Maojo, Francisco Cedrón, Francisco J. Nóvoa and Alejandro Pazos. Their work appears in journals such as SHILAP Revista de lepidopterología, Automation in Construction and Applied Sciences.
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.