Francisco Valera
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Aerospace Engineering top 10%
- Artificial Intelligence
- Cognitive Neuroscience
- Co-authors
- Iván VidalJaime García-ReinosoArturo AzcorraMarcelo BagnuloAmogh DhamdhereXavier HesselbachDiego LópezPierre François
- Topics
- Software-Defined Networks and 5G (20 papers)UAV Applications and Optimization (17 papers)Opportunistic and Delay-Tolerant Networks (15 papers)
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Francisco Valera
62 papers receiving 526 citations
Peers
Comparison fields: 5 of 66
- Computer Networks and Communications 379
- Electrical and Electronic Engineering 178
- Aerospace Engineering 170
- Artificial Intelligence 55
- Cognitive Neuroscience 54
Countries citing papers authored by Francisco Valera
This map shows the geographic impact of Francisco Valera'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 Francisco Valera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francisco Valera more than expected).
Fields of papers citing papers by Francisco Valera
This network shows the impact of papers produced by Francisco Valera. 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 Francisco Valera. The network helps show where Francisco Valera may publish in the future.
Co-authorship network of co-authors of Francisco Valera
This figure shows the co-authorship network connecting the top 25 collaborators of Francisco Valera. A scholar is included among the top collaborators of Francisco Valera 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 Francisco Valera. Francisco Valera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 6 | |
| 10 | 5 | |
| 11 | 10 | |
| 12 | 21 | |
| 13 | 13 | |
| 14 | 10 | |
| 15 | 10 | |
| 16 | 31 | |
| 17 | 33 | |
| 18 | 30 | |
| 19 | 6 | |
| 20 | Metaphor to mechanism: Natural to disciplined | 2 |
About Francisco Valera
Francisco Valera is a scholar working on Computer Networks and Communications, Aerospace Engineering and Media Technology, having authored 64 papers that have together received 563 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (20 papers), UAV Applications and Optimization (17 papers) and Opportunistic and Delay-Tolerant Networks (15 papers). The work is most often cited by research in Computer Networks and Communications (379 citations), Aerospace Engineering (170 citations) and Media Technology (39 citations). Francisco Valera has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Iván Vidal, Jaime García-Reinoso, Arturo Azcorra, Marcelo Bagnulo, Amogh Dhamdhere, Xavier Hesselbach, Diego López, Pierre François, Jon Crowcroft and Alberto García-Martínez. Their work appears in journals such as Communications of the ACM, IEEE Access and IEEE Communications Magazine.
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.