Olga Valenzuela
- Artificial Intelligence top 5%
- Management Science and Operations Research top 5%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Molecular Biology
- Co-authors
- Ignacio RojasH. PomaresLuis Javier HerreraFernando RojasAlberto GuillénM. PasadasA. PrietoBlanca L. Delgado‐Márquez
- Topics
- Fuzzy Logic and Control Systems (20 papers)Neural Networks and Applications (18 papers)Time Series Analysis and Forecasting (8 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaBioinformatics
- Partner nations
- SpainUnited StatesGermany
In The Last Decade
Olga Valenzuela
80 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 149
- Artificial Intelligence 462
- Management Science and Operations Research 177
- Computer Vision and Pattern Recognition 163
- Electrical and Electronic Engineering 157
- Molecular Biology 133
Countries citing papers authored by Olga Valenzuela
This map shows the geographic impact of Olga Valenzuela'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 Olga Valenzuela with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olga Valenzuela more than expected).
Fields of papers citing papers by Olga Valenzuela
This network shows the impact of papers produced by Olga Valenzuela. 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 Olga Valenzuela. The network helps show where Olga Valenzuela may publish in the future.
Co-authorship network of co-authors of Olga Valenzuela
This figure shows the co-authorship network connecting the top 25 collaborators of Olga Valenzuela. A scholar is included among the top collaborators of Olga Valenzuela 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 Olga Valenzuela. Olga Valenzuela is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 21 | |
| 9 | 30 | |
| 10 | 16 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 13 | |
| 14 | 9 | |
| 15 | Automatic classification of prostate cancer using pseudo-gaussian radial basis function neural network | 3 |
| 16 | Hierarchical Structure for function approximation using radial basis function | 1 |
| 17 | What are the main factors involved in the design of a Radial Basis Function Network | 4 |
| 18 | 18 | |
| 19 | A Structural Engineering Education Image Database | 2 |
| 20 | Use of Multimedia in a Sophomore Design Course | 1 |
About Olga Valenzuela
Olga Valenzuela is a scholar working on Architecture, Artificial Intelligence and Signal Processing, having authored 84 papers that have together received 1.1k indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (20 papers), Neural Networks and Applications (18 papers) and Time Series Analysis and Forecasting (8 papers). The work is most often cited by research in Artificial Intelligence (462 citations), Management Science and Operations Research (177 citations) and Signal Processing (88 citations). Olga Valenzuela has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Ignacio Rojas, H. Pomares, Luis Javier Herrera, Fernando Rojas, Alberto Guillén, M. Pasadas, A. Prieto, Blanca L. Delgado‐Márquez, Oresti Baños and Jesús González. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.
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.