Beatriz Prieto
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
- Blind Source Separation Techniques
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications
- Neural Networks and Applications
- Internet Traffic Analysis and Secure E-voting
Papers in
-
- Neural Networks and Applications 6
- Evolutionary Algorithms and Applications 2
- Metaheuristic Optimization Algorithms Research 2
-
- Green IT and Sustainability 3
- Advanced Memory and Neural Computing 2
- Co-authors
- Julio Ortega (3 shared papers)A. Prieto (9 shared papers)Ignacio Rojas (4 shared papers)Eva M. Ortigosa (1 shared paper)Francisco Pelayo (1 shared paper)Eduardo Ros (1 shared paper)Andrés Ortíz (2 shared papers)Emiro De-La-Hoz-Franco (1 shared paper)
In The Last Decade
Beatriz Prieto
23 papers receiving 608 citations
Peers
Comparison fields: 5 of 121
- Signal Processing 123
- Artificial Intelligence 286
- Computer Networks and Communications 164
- Analytical Chemistry 33
- Computational Mathematics 2
Countries citing papers authored by Beatriz Prieto
This map shows the geographic impact of Beatriz Prieto'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 Beatriz Prieto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beatriz Prieto more than expected).
Fields of papers citing papers by Beatriz Prieto
This network shows the impact of papers produced by Beatriz Prieto. 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 Beatriz Prieto. The network helps show where Beatriz Prieto may publish in the future.
Co-authors
The 25 scholars most cited alongside Beatriz Prieto, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 274 | |
| 2 | 2015 | 144 | |
| 3 | 2011 | 55 | |
| 4 | 2009 | 27 | |
| 5 | 1998 | 23 | |
| 6 | 2022 | 15 | |
| 7 | 2009 | 15 | |
| 8 | 2015 | 14 | |
| 9 | 1999 | 12 | |
| 10 | 2007 | 9 | |
| 11 | 2005 | 8 | |
| 12 | Adaptive-geometric methods: Application to the separation of EEG signals | 2000 | 7 |
| 13 | 2023 | 6 | |
| 14 | 2023 | 6 | |
| 15 | 2024 | 5 | |
| 16 | 1997 | 5 | |
| 17 | 2017 | 5 | |
| 18 | Separation of sources in a class of post-nonlinear mixtures. | 1998 | 4 |
| 19 | SWAD, an Open Learning Management System: Results and Challenges. | 2019 | 1 |
| 20 | 2023 | 1 |
About Beatriz Prieto
Beatriz Prieto is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications, Signal Processing and Information Systems, having authored 24 papers that have together received 639 indexed citations. Recurring topics across this work include Neural Networks and Applications (6 papers), Blind Source Separation Techniques (4 papers), Green IT and Sustainability (3 papers), Cloud Computing and Resource Management (3 papers), IoT and Edge/Fog Computing (3 papers), Advanced Memory and Neural Computing (2 papers), Evolutionary Algorithms and Applications (2 papers) and Metaheuristic Optimization Algorithms Research (2 papers). The work is most often cited by research in Signal Processing (123 citations), Artificial Intelligence (286 citations), Computer Networks and Communications (164 citations), Analytical Chemistry (33 citations) and Computational Mathematics (2 citations). Beatriz Prieto has collaborated with scholars based in Spain, France and Austria. Frequent co-authors include Julio Ortega, A. Prieto, Ignacio Rojas, Eva M. Ortigosa, Francisco Pelayo, Eduardo Ros, Andrés Ortíz, Emiro De-La-Hoz-Franco, E. de la Hoz and Carlos G. Puntonet. Their work appears in journals such as Neurocomputing, Sustainability, Journal of Network and Computer Applications, Journal of Parallel and Distributed Computing and Biological Invasions.
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.