Daniel Rivero
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
-
- Evolutionary Algorithms and Applications 33
- Neural Networks and Applications 24
- Metaheuristic Optimization Algorithms Research 21
- Fuzzy Logic and Control Systems 7
-
- EEG and Brain-Computer Interfaces 12
- Co-authors
- Alejandro Pazos (44 shared papers)Ling Guo (4 shared papers)Julián Dorado (39 shared papers)Enrique Fernández-Blanco (29 shared papers)Juan R. Rabuñal (31 shared papers)Alejandro Puente-Castro (4 shared papers)Cristian R. Munteanu (8 shared papers)José A. Seoane (6 shared papers)
- Journals
- Computers and Electronics in Agriculture (4 papers)Journal of Chemical Theory and Computation (4 papers)Expert Systems with Applications (3 papers)Applied Sciences (2 papers)Soft Computing (2 papers)
- Partner nations
- SpainUnited StatesEcuador
In The Last Decade
Daniel Rivero
76 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 146
- Signal Processing 746
- Cognitive Neuroscience 1.1k
- Computer Vision and Pattern Recognition 377
- Artificial Intelligence 571
- Health, Toxicology and Mutagenesis 161
Countries citing papers authored by Daniel Rivero
This map shows the geographic impact of Daniel Rivero'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 Daniel Rivero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Rivero more than expected).
Fields of papers citing papers by Daniel Rivero
This network shows the impact of papers produced by Daniel Rivero. 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 Daniel Rivero. The network helps show where Daniel Rivero may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Rivero, 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 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 365 | |
| 2 | 2010 | 350 | |
| 3 | 2011 | 228 | |
| 4 | 2009 | 165 | |
| 5 | 2021 | 152 | |
| 6 | 2018 | 125 | |
| 7 | 2020 | 122 | |
| 8 | 2006 | 72 | |
| 9 | 2017 | 71 | |
| 10 | 2003 | 70 | |
| 11 | 2019 | 49 | |
| 12 | 2022 | 40 | |
| 13 | 2023 | 40 | |
| 14 | 2016 | 36 | |
| 15 | 2023 | 33 | |
| 16 | 2020 | 29 | |
| 17 | 2004 | 28 | |
| 18 | 2010 | 26 | |
| 19 | 2010 | 24 | |
| 20 | 2018 | 23 |
About Daniel Rivero
Daniel Rivero is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Molecular Biology, Computer Vision and Pattern Recognition and Signal Processing, having authored 84 papers that have together received 2.5k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (33 papers), Neural Networks and Applications (24 papers), Metaheuristic Optimization Algorithms Research (21 papers), EEG and Brain-Computer Interfaces (12 papers), Spectroscopy and Chemometric Analyses (7 papers), Blind Source Separation Techniques (7 papers), Fuzzy Logic and Control Systems (7 papers) and Force Microscopy Techniques and Applications (5 papers). The work is most often cited by research in Signal Processing (746 citations), Cognitive Neuroscience (1.1k citations), Computer Vision and Pattern Recognition (377 citations), Artificial Intelligence (571 citations) and Health, Toxicology and Mutagenesis (161 citations). Daniel Rivero has collaborated with scholars based in Spain, United States and Ecuador. Frequent co-authors include Alejandro Pazos, Ling Guo, Julián Dorado, Enrique Fernández-Blanco, Juan R. Rabuñal, Alejandro Puente-Castro, Cristian R. Munteanu, José A. Seoane, Miguel R. Luaces and Jerónimo Puertas. Their work appears in journals such as Computers and Electronics in Agriculture, Journal of Chemical Theory and Computation, Expert Systems with Applications, Applied Sciences and Soft Computing.
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.