Beatriz Prieto
Impact in
- Signal Processing top 10%
- Advanced Malware Detection Techniques
- Blind Source Separation Techniques
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications
- Internet Traffic Analysis and Secure E-voting
- Neural Networks and Applications
Papers in
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- IoT and Edge/Fog Computing 3
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- Green IT and Sustainability 3
- Advanced Memory and Neural Computing 2
- Smart Grid Energy Management 2
- Ferroelectric and Negative Capacitance Devices 1
- Co-authors
- Julio Ortega (2 shared papers)A. Prieto (6 shared papers)Ignacio Rojas (4 shared papers)Eva M. Ortigosa (1 shared paper)Eduardo Ros (1 shared paper)Francisco Pelayo (1 shared paper)Andrés Ortíz (2 shared papers)Emiro De-La-Hoz-Franco (1 shared paper)
In The Last Decade
Beatriz Prieto
16 papers receiving 510 citations
Peers
Comparison fields: 5 of 114
- Signal Processing 82
- Artificial Intelligence 223
- Computer Networks and Communications 140
- Ecological Modeling 13
- Analytical Chemistry 22
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
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 250 | |
| 2 | 2015 | 126 | |
| 3 | 2011 | 53 | |
| 4 | 2009 | 21 | |
| 5 | 1998 | 19 | |
| 6 | 2022 | 15 | |
| 7 | 2015 | 12 | |
| 8 | 2007 | 9 | |
| 9 | 2023 | 6 | |
| 10 | 2024 | 5 | |
| 11 | 2023 | 5 | |
| 12 | Separation of sources in a class of post-nonlinear mixtures. | 1998 | 4 |
| 13 | SWAD, an Open Learning Management System: Results and Challenges. | 2019 | 1 |
| 14 | 2023 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2018 | 1 | |
| 17 | El Humanismo Democrático y la Educación | 2015 | 0 |
About Beatriz Prieto
Beatriz Prieto is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Information Systems and Cognitive Neuroscience, having authored 17 papers that have together received 529 indexed citations. Recurring topics across this work include Green IT and Sustainability (3 papers), Cloud Computing and Resource Management (3 papers), IoT and Edge/Fog Computing (3 papers), Neural Networks and Applications (3 papers), Advanced Memory and Neural Computing (2 papers), EEG and Brain-Computer Interfaces (2 papers), Smart Grid Energy Management (2 papers) and Ferroelectric and Negative Capacitance Devices (1 paper). The work is most often cited by research in Signal Processing (82 citations), Artificial Intelligence (223 citations), Computer Networks and Communications (140 citations), Ecological Modeling (13 citations) and Analytical Chemistry (22 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, Eduardo Ros, Francisco Pelayo, Andrés Ortíz, Emiro De-La-Hoz-Franco, E. de la Hoz and Juan José Escobar. Their work appears in journals such as Neurocomputing, Sustainability, Journal of Parallel and Distributed Computing, Future Generation Computer Systems and Signal Processing.
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.