Beatriz Seoane
- Condensed Matter Physics top 5%
- Theoretical and Computational Physics 12
-
- Model Reduction and Neural Networks 6
-
- Material Dynamics and Properties 9
-
- Neural Networks and Applications 4
-
- Generative Adversarial Networks and Image Synthesis 7
-
- Protein Structure and Dynamics 5
-
- Phase Equilibria and Thermodynamics 5
-
- Neural dynamics and brain function 4
Beatriz Seoane
26 papers receiving 392 citations
Peers
Comparison fields: 5 of 69
- Condensed Matter Physics 184
- Ceramics and Composites 39
- Statistical and Nonlinear Physics 64
- Materials Chemistry 240
- Artificial Intelligence 79
Countries citing papers authored by Beatriz Seoane
This map shows the geographic impact of Beatriz Seoane'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 Seoane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beatriz Seoane more than expected).
Fields of papers citing papers by Beatriz Seoane
This network shows the impact of papers produced by Beatriz Seoane. 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 Seoane. The network helps show where Beatriz Seoane may publish in the future.
Co-authorship network
The 19 scholars most cited alongside Beatriz Seoane, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 10 | |
| 8 | 2023 | 10 | |
| 9 | 2022 | 11 | |
| 10 | 2022 | 6 | |
| 11 | 2021 | 6 | |
| 12 | 2021 | 15 | |
| 13 | 2019 | 12 | |
| 14 | 2016 | 3 | |
| 15 | 2015 | 35 | |
| 16 | 2014 | 20 | |
| 17 | 2012 | 56 | |
| 18 | 2012 | 45 | |
| 19 | 2010 | 6 | |
| 20 | 2010 | 6 |
About Beatriz Seoane
Beatriz Seoane is a scholar working on Condensed Matter Physics, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 405 indexed citations. Recurring topics across this work include Theoretical and Computational Physics (12 papers), Material Dynamics and Properties (9 papers), Generative Adversarial Networks and Image Synthesis (7 papers), Model Reduction and Neural Networks (6 papers), Protein Structure and Dynamics (5 papers), Phase Equilibria and Thermodynamics (5 papers), Neural dynamics and brain function (4 papers) and Neural Networks and Applications (4 papers). The work is most often cited by research in Condensed Matter Physics (184 citations), Ceramics and Composites (39 citations) and Statistical and Nonlinear Physics (64 citations). Beatriz Seoane has collaborated with scholars based in Spain, France and Italy. Frequent co-authors include Giorgio Parisi, Francesco Zamponi, V. Martı́n-Mayor, L. A. Fernández, Hidetoshi Nishimori, Patrick Charbonneau, Yuliang Jin, Aurélien Decelle, P. Verrocchio and Ludovic Berthier. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Bioinformatics.
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.