Mario Aldea Rivas

29 papers and 115 indexed citations i.

About

Mario Aldea Rivas is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Mario Aldea Rivas has authored 29 papers receiving a total of 115 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Hardware and Architecture, 13 papers in Computer Networks and Communications and 6 papers in Computational Theory and Mathematics. Recurrent topics in Mario Aldea Rivas’s work include Real-Time Systems Scheduling (24 papers), Embedded Systems Design Techniques (18 papers) and Parallel Computing and Optimization Techniques (9 papers). Mario Aldea Rivas is often cited by papers focused on Real-Time Systems Scheduling (24 papers), Embedded Systems Design Techniques (18 papers) and Parallel Computing and Optimization Techniques (9 papers). Mario Aldea Rivas collaborates with scholars based in Spain, United Kingdom and Italy. Mario Aldea Rivas's co-authors include Michael González Harbour, Narciso Cerpa, Javier Pereira, June Verner, J. Drew Procaccino, Alan Burns, Marina Gutiérrez, J. Javier Gutiérrez, Radu Dobrin and Michael P. Trimarchi and has published in prestigious journals such as IEEE Access, IEEE Transactions on Computers and Journal of Systems and Software.

In The Last Decade

Co-authorship network of co-authors of Mario Aldea Rivas i

Fields of papers citing papers by Mario Aldea Rivas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario Aldea Rivas. 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 Aldea Rivas. The network helps show where Mario Aldea Rivas may publish in the future.

Countries citing papers authored by Mario Aldea Rivas

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025