Javier Rubio‐Loyola
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Information Systems top 5%
- Artificial Intelligence top 10%
- Sociology and Political Science
- Co-authors
- Joan SerratMarinos CharalambidesGeorge PavlouParis FlegkasRashid MijumbiAlessandra RussoMorris SlomanArosha K. Bandara
- Topics
- Software-Defined Networks and 5G (17 papers)Network Traffic and Congestion Control (12 papers)Caching and Content Delivery (10 papers)
- Partner nations
- MexicoSpainUnited Kingdom
In The Last Decade
Javier Rubio‐Loyola
41 papers receiving 449 citations
Peers
Comparison fields: 5 of 51
- Computer Networks and Communications 353
- Electrical and Electronic Engineering 157
- Information Systems 128
- Artificial Intelligence 108
- Sociology and Political Science 68
Countries citing papers authored by Javier Rubio‐Loyola
This map shows the geographic impact of Javier Rubio‐Loyola'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 Javier Rubio‐Loyola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Rubio‐Loyola more than expected).
Fields of papers citing papers by Javier Rubio‐Loyola
This network shows the impact of papers produced by Javier Rubio‐Loyola. 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 Javier Rubio‐Loyola. The network helps show where Javier Rubio‐Loyola may publish in the future.
Co-authorship network of co-authors of Javier Rubio‐Loyola
This figure shows the co-authorship network connecting the top 25 collaborators of Javier Rubio‐Loyola. A scholar is included among the top collaborators of Javier Rubio‐Loyola based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Javier Rubio‐Loyola. Javier Rubio‐Loyola is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 10 | |
| 6 | 10 | |
| 7 | 4 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 11 | |
| 11 | 22 | |
| 12 | 34 | |
| 13 | 0 | |
| 14 | Towards Self-Organizing Network Orchestration Management for LTE Mobile Communication Systems | 0 |
| 15 | 1 | |
| 16 | 3 | |
| 17 | 37 | |
| 18 | 4 | |
| 19 | 0 | |
| 20 | 1 |
About Javier Rubio‐Loyola
Javier Rubio‐Loyola is a scholar working on Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering, having authored 48 papers that have together received 474 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (17 papers), Network Traffic and Congestion Control (12 papers) and Caching and Content Delivery (10 papers). The work is most often cited by research in Computer Networks and Communications (353 citations), Information Systems (128 citations) and Artificial Intelligence (108 citations). Javier Rubio‐Loyola has collaborated with scholars based in Mexico, Spain and United Kingdom. Frequent co-authors include Joan Serrat, Marinos Charalambides, George Pavlou, Paris Flegkas, Rashid Mijumbi, Alessandra Russo, Morris Sloman, Arosha K. Bandara, Emil Lupu and Juan‐Luis Gorricho. Their work appears in journals such as IEEE Communications Magazine, Sensors and Computer Networks.
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.