Eduardo Argollo
Impact in
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
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- Advanced Data Storage Technologies
- Interconnection Networks and Systems
- Distributed and Parallel Computing Systems
- Caching and Content Delivery
Papers in
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- Advanced Data Storage Technologies 3
- Interconnection Networks and Systems 2
- Distributed and Parallel Computing Systems 2
- Distributed systems and fault tolerance 1
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- Parallel Computing and Optimization Techniques 4
- Embedded Systems Design Techniques 1
- Co-authors
- Paolo Faraboschi (3 shared papers)Jeffrey C. Mogul (1 shared paper)Mehul A. Shah (1 shared paper)Matteo Monchiero (1 shared paper)Daniel Ortega (2 shared papers)Ayose Falcón (2 shared papers)Emilio Luque (4 shared papers)Dolores Rexachs (3 shared papers)
- Partner nations
- United StatesSpain
In The Last Decade
Eduardo Argollo
4 papers receiving 280 citations
Peers
Comparison fields: 5 of 18
- Hardware and Architecture 265
- Computer Networks and Communications 262
- Information Systems 85
- Electrical and Electronic Engineering 42
- Management Science and Operations Research 8
Countries citing papers authored by Eduardo Argollo
This map shows the geographic impact of Eduardo Argollo'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 Eduardo Argollo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eduardo Argollo more than expected).
Fields of papers citing papers by Eduardo Argollo
This network shows the impact of papers produced by Eduardo Argollo. 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 Eduardo Argollo. The network helps show where Eduardo Argollo may publish in the future.
Co-authors
The 11 scholars most cited alongside Eduardo Argollo, 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 | 2009 | 154 | |
| 2 | Operating system support for NVM+DRAM hybrid main memory | 2009 | 139 |
| 3 | 2009 | 2 | |
| 4 | 2004 | 1 | |
| 5 | Fault Tolerant Master-Worker over a Multi-Cluster Architecture | 2005 | 1 |
| 6 | 2009 | 0 |
About Eduardo Argollo
Eduardo Argollo is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Media Technology and Computer Science Applications, having authored 6 papers that have together received 297 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (4 papers), Advanced Data Storage Technologies (3 papers), Interconnection Networks and Systems (2 papers), Distributed and Parallel Computing Systems (2 papers), Embedded Systems Design Techniques (1 paper), Cloud Computing and Resource Management (1 paper), Experimental Learning in Engineering (1 paper) and Distributed systems and fault tolerance (1 paper). The work is most often cited by research in Hardware and Architecture (265 citations), Computer Networks and Communications (262 citations), Information Systems (85 citations), Electrical and Electronic Engineering (42 citations) and Management Science and Operations Research (8 citations). Eduardo Argollo has collaborated with scholars based in United States and Spain. Frequent co-authors include Paolo Faraboschi, Jeffrey C. Mogul, Mehul A. Shah, Matteo Monchiero, Daniel Ortega, Ayose Falcón, Emilio Luque, Dolores Rexachs, Juan Carlos Moure and Ângelo Duarte. Their work appears in journals such as ACM SIGOPS Operating Systems Review.
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.