J. Vega

204 papers and 1.7k indexed citations i.

About

J. Vega is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, J. Vega has authored 204 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Nuclear and High Energy Physics, 44 papers in Artificial Intelligence and 40 papers in Computer Networks and Communications. Recurrent topics in J. Vega’s work include Magnetic confinement fusion research (113 papers), Time Series Analysis and Forecasting (26 papers) and Anomaly Detection Techniques and Applications (24 papers). J. Vega is often cited by papers focused on Magnetic confinement fusion research (113 papers), Time Series Analysis and Forecasting (26 papers) and Anomaly Detection Techniques and Applications (24 papers). J. Vega collaborates with scholars based in Spain, Italy and United Kingdom. J. Vega's co-authors include A. Murari, S. Dormido-Canto, G.A. Rattá, M. Ruíz, M. Gelfusa, A. Portas, A. Pereira, E. Sánchez, E. Barrera and R. Moreno and has published in prestigious journals such as Physical Review Letters, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of J. Vega i

Fields of papers citing papers by J. Vega

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by J. Vega

Since Specialization
Citations

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).

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.

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