Carlos Reaño
- Computer Networks and Communications top 5%
- Information Systems top 2%
- Hardware and Architecture top 2%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Co-authors
- Federico SillaJeffrey H. ReedJ. DuatoRafael MayoEnrique S. Quintana–Ort́ıAntonio J. PeñaSergio IserteCarl Dietrich
- Topics
- Cloud Computing and Resource Management (32 papers)Parallel Computing and Optimization Techniques (32 papers)Distributed and Parallel Computing Systems (27 papers)
- Journals
- IEEE AccessIEEE Communications MagazineIEEE Transactions on Parallel and Distributed Systems
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Carlos Reaño
49 papers receiving 520 citations
Peers
Comparison fields: 5 of 42
- Computer Networks and Communications 408
- Information Systems 297
- Hardware and Architecture 286
- Electrical and Electronic Engineering 81
- Artificial Intelligence 75
Countries citing papers authored by Carlos Reaño
This map shows the geographic impact of Carlos Reaño'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 Carlos Reaño with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos Reaño more than expected).
Fields of papers citing papers by Carlos Reaño
This network shows the impact of papers produced by Carlos Reaño. 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 Carlos Reaño. The network helps show where Carlos Reaño may publish in the future.
Co-authorship network of co-authors of Carlos Reaño
This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Reaño. A scholar is included among the top collaborators of Carlos Reaño 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 Carlos Reaño. Carlos Reaño is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 13 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 7 | |
| 11 | 3 | |
| 12 | 6 | |
| 13 | 9 | |
| 14 | 18 | |
| 15 | 1 | |
| 16 | 7 | |
| 17 | 37 | |
| 18 | 19 | |
| 19 | 2 | |
| 20 | 54 |
About Carlos Reaño
Carlos Reaño is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 51 papers that have together received 526 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (32 papers), Parallel Computing and Optimization Techniques (32 papers) and Distributed and Parallel Computing Systems (27 papers). The work is most often cited by research in Hardware and Architecture (286 citations), Computer Networks and Communications (408 citations) and Information Systems (297 citations). Carlos Reaño has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Federico Silla, Jeffrey H. Reed, J. Duato, Rafael Mayo, Enrique S. Quintana–Ort́ı, Antonio J. Peña, Sergio Iserte, Carl Dietrich, Gilad Shainer and Blesson Varghese. Their work appears in journals such as IEEE Access, IEEE Communications Magazine and IEEE Transactions on Parallel and Distributed Systems.
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.