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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- Bioinformatics and Genomic Networks 20
- Machine Learning in Bioinformatics 19
- Biomedical Text Mining and Ontologies 10
-
- Neural Networks and Applications 16
- Evolutionary Algorithms and Applications 12
- Co-authors
- Daniel Rivero (34 shared papers)Ling Guo (4 shared papers)Julián Dorado (54 shared papers)Cristian R. Munteanu (53 shared papers)Enrique Fernández-Blanco (22 shared papers)Juan R. Rabuñal (29 shared papers)Humberto González‐Díaz (36 shared papers)Carlos Fernández-Lozano (22 shared papers)
- Journals
- Scientific Reports (8 papers)Expert Systems with Applications (5 papers)Applied Sciences (4 papers)International Journal of Molecular Sciences (3 papers)Neurocomputing (3 papers)
- Partner nations
- SpainEcuadorUnited States
In The Last Decade
Alejandro Pazos
162 papers receiving 3.6k citations
Alejandro Pazos's Hit Papers
Peers
Comparison fields: 5 of 197
- Signal Processing 672
- Cognitive Neuroscience 1.1k
- Computational Theory and Mathematics 686
- Health Informatics 30
- Artificial Intelligence 688
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 180 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 329 | |
| 2 | 2010 | 312 | |
| 3 | A review on machine learning approaches and trends in drug discovery Hit paper breakdown → | 2021 | 264 |
| 4 | 2011 | 204 | |
| 5 | 2009 | 151 | |
| 6 | 2021 | 133 | |
| 7 | 2020 | 99 | |
| 8 | 2017 | 65 | |
| 9 | 2016 | 64 | |
| 10 | 2017 | 64 | |
| 11 | 2010 | 63 | |
| 12 | 2003 | 61 | |
| 13 | 2011 | 52 | |
| 14 | 2018 | 51 | |
| 15 | 2016 | 50 | |
| 16 | 2016 | 48 | |
| 17 | 2014 | 47 | |
| 18 | 2009 | 46 | |
| 19 | 2009 | 46 | |
| 20 | 2004 | 45 |
About Alejandro Pazos
Alejandro Pazos is a scholar working on Molecular Biology, Artificial Intelligence, Computational Theory and Mathematics, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 180 papers that have together received 3.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (27 papers), Bioinformatics and Genomic Networks (20 papers), Machine Learning in Bioinformatics (19 papers), Neural Networks and Applications (16 papers), Evolutionary Algorithms and Applications (12 papers), EEG and Brain-Computer Interfaces (10 papers), Biomedical Text Mining and Ontologies (10 papers) and Neural dynamics and brain function (10 papers). The work is most often cited by research in Signal Processing (672 citations), Cognitive Neuroscience (1.1k citations), Computational Theory and Mathematics (686 citations), Health Informatics (30 citations) and Artificial Intelligence (688 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, Enrique Fernández-Blanco, Juan R. Rabuñal, Humberto González‐Díaz, Carlos Fernández-Lozano, Alejandro Puente-Castro and José Liñares-Blanco. Their work appears in journals such as Scientific Reports, Expert Systems with Applications, Applied Sciences, International Journal of Molecular Sciences 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.