Julián Dorado
- Cognitive Neuroscience top 5%
- Molecular Biology
- Signal Processing top 2%
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 2%
- Co-authors
- Alejandro PazosDaniel RiveroJuan R. RabuñalCristian R. MunteanuLing GuoMarcos GestalJosé A. SeoaneEnrique Fernández-Blanco
- Topics
- Machine Learning in Bioinformatics (18 papers)Evolutionary Algorithms and Applications (15 papers)Computational Drug Discovery Methods (14 papers)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Julián Dorado
82 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 158
- Cognitive Neuroscience 559
- Molecular Biology 472
- Signal Processing 377
- Artificial Intelligence 349
- Computational Theory and Mathematics 265
Countries citing papers authored by Julián Dorado
This map shows the geographic impact of Julián Dorado'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 Julián Dorado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julián Dorado more than expected).
Fields of papers citing papers by Julián Dorado
This network shows the impact of papers produced by Julián Dorado. 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 Julián Dorado. The network helps show where Julián Dorado may publish in the future.
Co-authorship network of co-authors of Julián Dorado
This figure shows the co-authorship network connecting the top 25 collaborators of Julián Dorado. A scholar is included among the top collaborators of Julián Dorado 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 Julián Dorado. Julián Dorado is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 8 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 20 | |
| 8 | 11 | |
| 9 | 2 | |
| 10 | 24 | |
| 11 | 28 | |
| 12 | 22 | |
| 13 | 14 | |
| 14 | 17 | |
| 15 | 17 | |
| 16 | 18 | |
| 17 | 5 | |
| 18 | Using genetic programming for artificial neural network development and simplification | 3 |
| 19 | Adaptive aspects of rhythmic composition: genetic music | 2 |
| 20 | Optimization of GA parameters to train recurrent ANN through weight adjustment and selection of activation functions | 1 |
About Julián Dorado
Julián Dorado is a scholar working on Computational Theory and Mathematics, Signal Processing and Artificial Intelligence, having authored 88 papers that have together received 1.6k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (18 papers), Evolutionary Algorithms and Applications (15 papers) and Computational Drug Discovery Methods (14 papers). The work is most often cited by research in Signal Processing (377 citations), Cognitive Neuroscience (559 citations) and Computational Theory and Mathematics (265 citations). Julián Dorado has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Alejandro Pazos, Daniel Rivero, Juan R. Rabuñal, Cristian R. Munteanu, Ling Guo, Marcos Gestal, José A. Seoane, Enrique Fernández-Blanco, Carlos Fernández-Lozano and Humberto González‐Díaz. Their work appears in journals such as Analytical Biochemistry, Scientific Reports and International Journal of Molecular 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.