Pedro Isasi
About
In The Last Decade
Pedro Isasi
109 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 116
- Artificial Intelligence 653
- Computer Vision and Pattern Recognition 274
- Management Science and Operations Research 189
- Computer Networks and Communications 127
- Electrical and Electronic Engineering 118
Countries citing papers authored by Pedro Isasi
This map shows the geographic impact of Pedro Isasi'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 Pedro Isasi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pedro Isasi more than expected).
Fields of papers citing papers by Pedro Isasi
This network shows the impact of papers produced by Pedro Isasi. 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 Pedro Isasi. The network helps show where Pedro Isasi may publish in the future.
Co-authorship network of co-authors of Pedro Isasi
This figure shows the co-authorship network connecting the top 25 collaborators of Pedro Isasi. A scholar is included among the top collaborators of Pedro Isasi 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 Pedro Isasi. Pedro Isasi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 2 | |
| 3 | 52 | |
| 4 | Multiobjective Algorithms with Resampling for Portfolio Optimization | 8 |
| 5 | 82 | |
| 6 | 28 | |
| 7 | Rendimiento en salidas a Bolsa:Un estudio mediante perceptronesmulticapa | 0 |
| 8 | 4 | |
| 9 | Improving the Generalization Ability of RBNN Using a Selective Strategy Based on the Gaussian Kernel Function. | 3 |
| 10 | Revisión de precios y reputación de asesores financieros: dos propuestas de índices para explicar el rendimiento a corto plazo de las salidas a bolsa. | 1 |
| 11 | Detección de inercia sectorial en salidas a bolsa mediante modelos arima y redes neuronales | 0 |
| 12 | NON-DIRECT ENCODING METHOD BASED ON CELLULAR AUTOMATA TO DESIGN NEURAL NETWORK ARCHITECTURES | 5 |
| 13 | Estructura de Colocación y Rendimiento Inicial de Salidas a Bolsa: Tecnológicas Frente a No Tecnológicas* | 1 |
| 14 | How the selection of training patterns can improve the generalization capability in Radial Basis Neural Networks | 1 |
| 15 | Automatic finding of good classifiers following a biologically inspired metaphor | 4 |
| 16 | 33 | |
| 17 | Finding near optimal parameters for Linear Congruential pseudorandom number generators by means of evolutionary computation | 1 |
| 18 | Designing nearest neighbour classifiers by the evolution of a population of prototypes. | 2 |
| 19 | Knowledge Representation Issues in Control Knowledge Learning | 7 |
| 20 | Genetic Programming and Deductive-Inductive Learning: A Multi-Strategy Approach | 11 |
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.