Mario Vega-Barbas

23 papers and 229 indexed citations i.

About

Mario Vega-Barbas is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Mario Vega-Barbas has authored 23 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 8 papers in Artificial Intelligence and 7 papers in Information Systems. Recurrent topics in Mario Vega-Barbas’s work include Advanced Malware Detection Techniques (7 papers), Network Security and Intrusion Detection (7 papers) and IoT and Edge/Fog Computing (7 papers). Mario Vega-Barbas is often cited by papers focused on Advanced Malware Detection Techniques (7 papers), Network Security and Intrusion Detection (7 papers) and IoT and Edge/Fog Computing (7 papers). Mario Vega-Barbas collaborates with scholars based in Spain, Sweden and United Kingdom. Mario Vega-Barbas's co-authors include Víctor A. Villagrá, Diego Rivera, Fernando Seoane, Iván Pau, Julio Berrocal, Manuel Álvarez-Campana, Javier Ferreira, Diego López–de–Ipiña, Francisco Flórez‐Revuelta and José Bravo and has published in prestigious journals such as Sensors, IEEE Access and International Journal of Environmental Research and Public Health.

In The Last Decade

Co-authorship network of co-authors of Mario Vega-Barbas i

Fields of papers citing papers by Mario Vega-Barbas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario Vega-Barbas. 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 Mario Vega-Barbas. The network helps show where Mario Vega-Barbas may publish in the future.

Countries citing papers authored by Mario Vega-Barbas

Since Specialization
Citations

This map shows the geographic impact of Mario Vega-Barbas'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 Mario Vega-Barbas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Vega-Barbas 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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2025