Luis M. Vaquero
- Information Systems top 0.1%
- Cloud Computing and Resource Management 15
- Computer Networks and Communications top 0.5%
- Distributed and Parallel Computing Systems 9
- Peer-to-Peer Network Technologies 5
- Software-Defined Networks and 5G 5
- IoT and Edge/Fog Computing 5
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- Cardiac electrophysiology and arrhythmias 13
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- Ion channel regulation and function 7
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- Nitric Oxide and Endothelin Effects 3
- Co-authors
- Luis Rodero‐MerinoJuan CáceresMaik LindnerRajkumar BuyyaDaniel MoránJosé JalifeDavid CalvoRicardo Caballero
- Journals
- Circulation Research (1 paper)Scientific Reports (1 paper)Annals of the New York Academy of Sciences (1 paper)
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Luis M. Vaquero
52 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Information Systems 2.4k
- Computer Networks and Communications 2.4k
- Information Systems and Management 251
- Computer Science Applications 142
- Management Information Systems 220
Countries citing papers authored by Luis M. Vaquero
This map shows the geographic impact of Luis M. Vaquero'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 Luis M. Vaquero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luis M. Vaquero more than expected).
Fields of papers citing papers by Luis M. Vaquero
This network shows the impact of papers produced by Luis M. Vaquero. 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 Luis M. Vaquero. The network helps show where Luis M. Vaquero may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Luis M. Vaquero, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 0 | |
| 2 | 2018 | 58 | |
| 3 | 2014 | 6 | |
| 4 | 2014 | 12 | |
| 5 | Finding your Way in the Fogbreakdown → | 2014 | 753 |
| 6 | 2013 | 53 | |
| 7 | 2013 | 2 | |
| 8 | 2012 | 90 | |
| 9 | 2012 | 13 | |
| 10 | Dynamically scaling applications in the cloudbreakdown → | 2011 | 251 |
| 11 | 2009 | 49 | |
| 12 | 2008 | 127 | |
| 13 | 2008 | 40 | |
| 14 | 2008 | 19 | |
| 15 | 2007 | 45 | |
| 16 | 2006 | 0 | |
| 17 | 2006 | 26 | |
| 18 | 2006 | 69 | |
| 19 | 2005 | 27 | |
| 20 | 2004 | 12 |
About Luis M. Vaquero
Luis M. Vaquero is a scholar working on Computer Networks and Communications, Information Systems and Cardiology and Cardiovascular Medicine, having authored 55 papers that have together received 4.1k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (15 papers), Cardiac electrophysiology and arrhythmias (13 papers), Distributed and Parallel Computing Systems (9 papers), Ion channel regulation and function (7 papers), Peer-to-Peer Network Technologies (5 papers), Software-Defined Networks and 5G (5 papers), IoT and Edge/Fog Computing (5 papers) and Nitric Oxide and Endothelin Effects (3 papers). The work is most often cited by research in Information Systems (2.4k citations), Computer Networks and Communications (2.4k citations) and Information Systems and Management (251 citations). Luis M. Vaquero has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Luis Rodero‐Merino, Juan Cáceres, Maik Lindner, Rajkumar Buyya, Daniel Morán, José Jalife, David Calvo, Ricardo Caballero, Juan Tamargo and Ricardo Gómez. Their work appears in journals such as Circulation Research, Scientific Reports and Annals of the New York Academy of Sciences.
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.