G. Romero
- Artificial Intelligence top 5%
- Computer Networks and Communications
- Electrical and Electronic Engineering
- Information Systems top 10%
- Computational Theory and Mathematics top 10%
- Co-authors
- Pedro Á. CastilloJ. J. MereloA. PrietoVíctor M. RivasIgnacio RojasM. G. ArenasJesús GonzálezAntonio M. Mora
- Topics
- Evolutionary Algorithms and Applications (9 papers)Neural Networks and Applications (6 papers)Metaheuristic Optimization Algorithms Research (6 papers)
- Partner nations
- SpainMexicoPalestinian Territory
In The Last Decade
G. Romero
22 papers receiving 377 citations
Peers
Comparison fields: 5 of 80
- Artificial Intelligence 210
- Computer Networks and Communications 54
- Electrical and Electronic Engineering 48
- Information Systems 47
- Computational Theory and Mathematics 45
Countries citing papers authored by G. Romero
This map shows the geographic impact of G. Romero'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 G. Romero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Romero more than expected).
Fields of papers citing papers by G. Romero
This network shows the impact of papers produced by G. Romero. 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 G. Romero. The network helps show where G. Romero may publish in the future.
Co-authorship network of co-authors of G. Romero
This figure shows the co-authorship network connecting the top 25 collaborators of G. Romero. A scholar is included among the top collaborators of G. Romero 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 G. Romero. G. Romero 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 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 9 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 8 | |
| 12 | 8 | |
| 13 | 21 | |
| 14 | 9 | |
| 15 | 37 | |
| 16 | 79 | |
| 17 | Evolving Objects: a general purpose evolutionary computation library | 11 |
| 18 | 98 | |
| 19 | 40 | |
| 20 | G-Prop-III: global optimization of Multilayer Perceptrons using an evolutionary algorithm | 6 |
About G. Romero
G. Romero is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics, having authored 24 papers that have together received 402 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (9 papers), Neural Networks and Applications (6 papers) and Metaheuristic Optimization Algorithms Research (6 papers). The work is most often cited by research in Artificial Intelligence (210 citations), Transportation (29 citations) and Computational Theory and Mathematics (45 citations). G. Romero has collaborated with scholars based in Spain, Mexico and Palestinian Territory. Frequent co-authors include Pedro Á. Castillo, J. J. Merelo, A. Prieto, Víctor M. Rivas, Ignacio Rojas, M. G. Arenas, Jesús González, Antonio M. Mora, H. Pomares and Pablo García‐Sánchez. Their work appears in journals such as Information Sciences, Computer Physics Communications and Neurocomputing.
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.