J. Vega
Impact in
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- Magnetic confinement fusion research
- Signal Processing top 5%
- Time Series Analysis and Forecasting
Papers in
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- Magnetic confinement fusion research 127
- Radiation 26
- Nuclear Physics and Applications 23
J. Vega
214 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 102
- Nuclear and High Energy Physics 1.1k
- Signal Processing 242
- Radiation 194
- Artificial Intelligence 484
- Aerospace Engineering 358
Countries citing papers authored by J. Vega
This map shows the geographic impact of J. Vega'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 J. Vega with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Vega more than expected).
Fields of papers citing papers by J. Vega
This network shows the impact of papers produced by J. Vega. 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 J. Vega. The network helps show where J. Vega may publish in the future.
Co-authorship network
The 25 scholars most cited alongside J. Vega, 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 | 2024 | 4 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2021 | 1 | |
| 8 | 2021 | 3 | |
| 9 | 2020 | 30 | |
| 10 | 2020 | 11 | |
| 11 | 2019 | 28 | |
| 12 | 2019 | 3 | |
| 13 | 2017 | 8 | |
| 14 | 2016 | 5 | |
| 15 | 2015 | 9 | |
| 16 | Prediction of disruptions at JET using the geodesic distance between wavelet distributions | 2012 | 1 |
| 17 | Results of the JET real-time disruption predictor in the ITER-like wall campaigns | 2012 | 1 |
| 18 | 2010 | 2 | |
| 19 | 2009 | 3 | |
| 20 | La experiencia del Mundo Técnico | 2005 | 1 |
About J. Vega
J. Vega is a scholar working on Nuclear and High Energy Physics, Radiation, Signal Processing, Computer Networks and Communications and Artificial Intelligence, having authored 228 papers that have together received 2.0k indexed citations. Recurring topics across this work include Magnetic confinement fusion research (127 papers), Time Series Analysis and Forecasting (28 papers), Anomaly Detection Techniques and Applications (26 papers), Atomic and Subatomic Physics Research (25 papers), Fusion materials and technologies (25 papers), Nuclear Physics and Applications (23 papers), Superconducting Materials and Applications (22 papers) and Advanced Data Storage Technologies (21 papers). The work is most often cited by research in Nuclear and High Energy Physics (1.1k citations), Signal Processing (242 citations), Radiation (194 citations), Artificial Intelligence (484 citations) and Aerospace Engineering (358 citations). J. Vega has collaborated with scholars based in Spain, Italy and United Kingdom. Frequent co-authors include A. Murari, S. Dormido-Canto, G.A. Rattá, M. Ruíz, M. Gelfusa, A. Pereira, E. Barrera, A. Portas, R. Moreno and Juan Manuel López. Their work appears in journals such as Fusion Engineering and Design, Review of Scientific Instruments, Nuclear Fusion, Fusion Science & Technology and IEEE Transactions on Nuclear Science.
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.