Javier Picorel
- Computer Networks and Communications top 5%
- Hardware and Architecture top 2%
- Information Systems top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Co-authors
- Babak FalsafiBoris GrotOnur KocberberParthasarathy RanganathanKevin LimStavros VolosDjordje JevdjicPejman Lotfi-Kamran
- Topics
- Parallel Computing and Optimization Techniques (10 papers)Cloud Computing and Resource Management (8 papers)Advanced Data Storage Technologies (8 papers)
- Journals
- ACM SIGOPS Operating Systems ReviewUSENIX Annual Technical ConferenceInfoscience (Ecole Polytechnique Fédérale de Lausanne)
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
Javier Picorel
14 papers receiving 480 citations
Peers
Comparison fields: 5 of 26
- Computer Networks and Communications 414
- Hardware and Architecture 376
- Information Systems 177
- Electrical and Electronic Engineering 110
- Artificial Intelligence 44
Countries citing papers authored by Javier Picorel
This map shows the geographic impact of Javier Picorel'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 Picorel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Picorel more than expected).
Fields of papers citing papers by Javier Picorel
This network shows the impact of papers produced by Javier Picorel. 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 Picorel. The network helps show where Javier Picorel may publish in the future.
Co-authorship network of co-authors of Javier Picorel
This figure shows the co-authorship network connecting the top 25 collaborators of Javier Picorel. A scholar is included among the top collaborators of Javier Picorel 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 Picorel. Javier Picorel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 12 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | Smart Software Caches | 1 |
| 6 | 59 | |
| 7 | 21 | |
| 8 | 16 | |
| 9 | Unlocking energy | 10 |
| 10 | 19 | |
| 11 | 29 | |
| 12 | 152 | |
| 13 | 102 | |
| 14 | 68 |
About Javier Picorel
Javier Picorel is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 14 papers that have together received 499 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (10 papers), Cloud Computing and Resource Management (8 papers) and Advanced Data Storage Technologies (8 papers). The work is most often cited by research in Hardware and Architecture (376 citations), Computer Networks and Communications (414 citations) and Information Systems (177 citations). Javier Picorel has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Babak Falsafi, Boris Grot, Onur Kocberber, Parthasarathy Ranganathan, Kevin Lim, Stavros Volos, Djordje Jevdjic, Pejman Lotfi-Kamran, Michael Ferdman and Emre Özer. Their work appears in journals such as ACM SIGOPS Operating Systems Review, USENIX Annual Technical Conference and Infoscience (Ecole Polytechnique Fédérale de Lausanne).
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.