Alejandro Pazos
Impact in
- Signal Processing top 1%
- Blind Source Separation Techniques
- Cognitive Neuroscience top 2%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
Papers in
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- Neural Networks and Applications 25
- Evolutionary Algorithms and Applications 21
- Metaheuristic Optimization Algorithms Research 15
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- Bioinformatics and Genomic Networks 21
- Machine Learning in Bioinformatics 19
- Biomedical Text Mining and Ontologies 12
- Co-authors
- Daniel Rivero (44 shared papers)Ling Guo (4 shared papers)Julián Dorado (67 shared papers)Cristian R. Munteanu (56 shared papers)Juan R. Rabuñal (42 shared papers)Enrique Fernández-Blanco (22 shared papers)Carlos Fernandez-Lozano (22 shared papers)Humberto González‐Díaz (36 shared papers)
- Journals
- Scientific Reports (8 papers)Applied Sciences (4 papers)Expert Systems with Applications (4 papers)Neurocomputing (3 papers)International Journal of Molecular Sciences (3 papers)
- Partner nations
- SpainEcuadorUnited States
In The Last Decade
Alejandro Pazos
176 papers receiving 4.0k citations
Alejandro Pazos's Hit Papers
Peers
Comparison fields: 5 of 197
- Signal Processing 745
- Cognitive Neuroscience 1.2k
- Computational Theory and Mathematics 711
- Health Informatics 36
- Neurology 185
Countries citing papers authored by Alejandro Pazos
This map shows the geographic impact of Alejandro Pazos'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 Alejandro Pazos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alejandro Pazos more than expected).
Fields of papers citing papers by Alejandro Pazos
This network shows the impact of papers produced by Alejandro Pazos. 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 Alejandro Pazos. The network helps show where Alejandro Pazos may publish in the future.
Co-authors
The 25 scholars most cited alongside Alejandro Pazos, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 193 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 365 | |
| 2 | 2010 | 350 | |
| 3 | A review on machine learning approaches and trends in drug discovery Hit paper breakdown → | 2021 | 305 |
| 4 | 2011 | 228 | |
| 5 | 2009 | 165 | |
| 6 | 2021 | 152 | |
| 7 | 2020 | 118 | |
| 8 | 2016 | 81 | |
| 9 | 2017 | 79 | |
| 10 | 2017 | 71 | |
| 11 | 2003 | 70 | |
| 12 | 2011 | 68 | |
| 13 | 2010 | 65 | |
| 14 | 2018 | 56 | |
| 15 | 2014 | 55 | |
| 16 | 2016 | 51 | |
| 17 | 2018 | 50 | |
| 18 | 2009 | 50 | |
| 19 | 2009 | 48 | |
| 20 | 2004 | 47 |
About Alejandro Pazos
Alejandro Pazos is a scholar working on Artificial Intelligence, Molecular Biology, Computational Theory and Mathematics, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 193 papers that have together received 4.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (28 papers), Neural Networks and Applications (25 papers), Evolutionary Algorithms and Applications (21 papers), Bioinformatics and Genomic Networks (21 papers), Machine Learning in Bioinformatics (19 papers), Metaheuristic Optimization Algorithms Research (15 papers), Biomedical Text Mining and Ontologies (12 papers) and EEG and Brain-Computer Interfaces (11 papers). The work is most often cited by research in Signal Processing (745 citations), Cognitive Neuroscience (1.2k citations), Computational Theory and Mathematics (711 citations), Health Informatics (36 citations) and Neurology (185 citations). Alejandro Pazos has collaborated with scholars based in Spain, Ecuador and United States. Frequent co-authors include Daniel Rivero, Ling Guo, Julián Dorado, Cristian R. Munteanu, Juan R. Rabuñal, Enrique Fernández-Blanco, Carlos Fernandez-Lozano, Humberto González‐Díaz, Alejandro Puente-Castro and Ana B. Porto-Pazos. Their work appears in journals such as Scientific Reports, Applied Sciences, Expert Systems with Applications, Neurocomputing 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.