Javier Conejero
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Artificial Intelligence
- Information Systems and Management top 10%
- Hardware and Architecture top 10%
- Co-authors
- Rosa M. BadíaOmer RanaJeffrey MorganPete BurnapDaniele LezziBlanca CamineroCarmen CarriónJorge Ejarque
- Topics
- Cloud Computing and Resource Management (10 papers)Distributed and Parallel Computing Systems (9 papers)Parallel Computing and Optimization Techniques (5 papers)
- Cited by
- Information Systems and ManagementComputer Networks and CommunicationsHardware and Architecture
- Partner nations
- SpainUnited KingdomSweden
In The Last Decade
Javier Conejero
18 papers receiving 222 citations
Peers
Comparison fields: 5 of 72
- Computer Networks and Communications 116
- Information Systems 106
- Artificial Intelligence 38
- Information Systems and Management 36
- Hardware and Architecture 34
Countries citing papers authored by Javier Conejero
This map shows the geographic impact of Javier Conejero'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 Conejero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Conejero more than expected).
Fields of papers citing papers by Javier Conejero
This network shows the impact of papers produced by Javier Conejero. 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 Conejero. The network helps show where Javier Conejero may publish in the future.
Co-authorship network of co-authors of Javier Conejero
This figure shows the co-authorship network connecting the top 25 collaborators of Javier Conejero. A scholar is included among the top collaborators of Javier Conejero 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 Conejero. Javier Conejero 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 | 1 | |
| 3 | 3 | |
| 4 | 39 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 24 | |
| 9 | 4 | |
| 10 | 23 | |
| 11 | 46 | |
| 12 | 12 | |
| 13 | 42 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 11 | |
| 17 | 5 | |
| 18 | QoS Provisioning by Meta-Scheduling in Advance within SLA-Based Grid Environments | 5 |
| 19 | 3 |
About Javier Conejero
Javier Conejero is a scholar working on Hardware and Architecture, Information Systems and Management and Computer Networks and Communications, having authored 19 papers that have together received 229 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (10 papers), Distributed and Parallel Computing Systems (9 papers) and Parallel Computing and Optimization Techniques (5 papers). The work is most often cited by research in Information Systems and Management (36 citations), Computer Networks and Communications (116 citations) and Hardware and Architecture (34 citations). Javier Conejero has collaborated with scholars based in Spain, United Kingdom and Sweden. Frequent co-authors include Rosa M. Badía, Omer Rana, Jeffrey Morgan, Pete Burnap, Daniele Lezzi, Blanca Caminero, Carmen Carrión, Jorge Ejarque, Francesc Lordan and Jesús Labarta. Their work appears in journals such as Future Generation Computer Systems, Scientific Data and Computing in Science & Engineering.
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.