Julián Dorado
- Signal Processing top 2%
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces 8
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- Computational Drug Discovery Methods 14
- Artificial Intelligence top 5%
- Evolutionary Algorithms and Applications 15
- Neural Networks and Applications 11
- Metaheuristic Optimization Algorithms Research 10
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- Machine Learning in Bioinformatics 18
- Bioinformatics and Genomic Networks 9
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- Advanced Chemical Sensor Technologies 7
Julián Dorado
82 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 158
- Signal Processing 377
- Cognitive Neuroscience 559
- Computational Theory and Mathematics 265
- Artificial Intelligence 349
- Molecular Biology 472
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
The 25 scholars most cited alongside Julián Dorado, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 7 | |
| 2 | 2023 | 8 | |
| 3 | 2023 | 0 | |
| 4 | 2020 | 1 | |
| 5 | 2019 | 2 | |
| 6 | 2019 | 5 | |
| 7 | 2014 | 20 | |
| 8 | 2014 | 11 | |
| 9 | 2013 | 2 | |
| 10 | 2013 | 24 | |
| 11 | 2013 | 28 | |
| 12 | 2012 | 22 | |
| 13 | 2012 | 14 | |
| 14 | 2011 | 17 | |
| 15 | 2010 | 17 | |
| 16 | 2010 | 18 | |
| 17 | 2007 | 5 | |
| 18 | Using genetic programming for artificial neural network development and simplification | 2006 | 3 |
| 19 | Adaptive aspects of rhythmic composition: genetic music | 1999 | 2 |
| 20 | Optimization of GA parameters to train recurrent ANN through weight adjustment and selection of activation functions | 1999 | 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), Computational Drug Discovery Methods (14 papers), Neural Networks and Applications (11 papers), Metaheuristic Optimization Algorithms Research (10 papers), Bioinformatics and Genomic Networks (9 papers), EEG and Brain-Computer Interfaces (8 papers) and Advanced Chemical Sensor Technologies (7 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.
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.