Oscar Palomar
- Hardware and Architecture top 5%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Information Systems
- Co-authors
- Adrián CristalOsman ÜnsalMateo ValeroEduard AyguadéTimothy HayesGülay YalçınToni JuanA. Gordon Smith
- Topics
- Parallel Computing and Optimization Techniques (42 papers)Interconnection Networks and Systems (22 papers)Embedded Systems Design Techniques (18 papers)
- Cited by
- Hardware and ArchitectureComputer Networks and CommunicationsComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Very Large Scale Integration (VLSI) SystemsJournal of Parallel and Distributed ComputingComputing in Science & Engineering
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Oscar Palomar
46 papers receiving 252 citations
Peers
Comparison fields: 5 of 36
- Hardware and Architecture 184
- Computer Networks and Communications 150
- Electrical and Electronic Engineering 63
- Computer Vision and Pattern Recognition 38
- Information Systems 32
Countries citing papers authored by Oscar Palomar
This map shows the geographic impact of Oscar Palomar'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 Oscar Palomar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oscar Palomar more than expected).
Fields of papers citing papers by Oscar Palomar
This network shows the impact of papers produced by Oscar Palomar. 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 Oscar Palomar. The network helps show where Oscar Palomar may publish in the future.
Co-authorship network of co-authors of Oscar Palomar
This figure shows the co-authorship network connecting the top 25 collaborators of Oscar Palomar. A scholar is included among the top collaborators of Oscar Palomar 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 Oscar Palomar. Oscar Palomar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 24 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 4 | |
| 9 | 3 | |
| 10 | 4 | |
| 11 | 4 | |
| 12 | 8 | |
| 13 | 7 | |
| 14 | 7 | |
| 15 | 6 | |
| 16 | 1 | |
| 17 | 8 | |
| 18 | 6 | |
| 19 | 4 | |
| 20 | 21 |
About Oscar Palomar
Oscar Palomar is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 48 papers that have together received 259 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (42 papers), Interconnection Networks and Systems (22 papers) and Embedded Systems Design Techniques (18 papers). The work is most often cited by research in Hardware and Architecture (184 citations), Computer Networks and Communications (150 citations) and Computer Vision and Pattern Recognition (38 citations). Oscar Palomar has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Adrián Cristal, Osman Ünsal, Mateo Valero, Eduard Ayguadé, Timothy Hayes, Gülay Yalçın, Toni Juan, A. Gordon Smith, Adrià Armejach and Juan J. Navarro. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Journal of Parallel and Distributed Computing 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.