Raúl Silvera
- Computer Networks and Communications top 5%
- Hardware and Architecture top 5%
- Information Systems
- Experimental and Cognitive Psychology
- Artificial Intelligence
- Co-authors
- José Nelson AmaralChristopher BartonPeng WuAmy WangMatthew GaudetMartin OhmachtMaged MichaelYaoqing Gao
- Topics
- Parallel Computing and Optimization Techniques (11 papers)Distributed systems and fault tolerance (4 papers)Software System Performance and Reliability (4 papers)
- Cited by
- Hardware and ArchitectureComputer Networks and CommunicationsExperimental and Cognitive Psychology
- Journals
- IEEE Transactions on ComputersACM SIGPLAN NoticesACM Transactions on Programming Languages and Systems
- Partner nations
- United StatesCanadaSpain
In The Last Decade
Raúl Silvera
11 papers receiving 192 citations
Peers
Comparison fields: 5 of 17
- Computer Networks and Communications 183
- Hardware and Architecture 165
- Information Systems 26
- Experimental and Cognitive Psychology 26
- Artificial Intelligence 22
Countries citing papers authored by Raúl Silvera
This map shows the geographic impact of Raúl Silvera'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 Raúl Silvera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raúl Silvera more than expected).
Fields of papers citing papers by Raúl Silvera
This network shows the impact of papers produced by Raúl Silvera. 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 Raúl Silvera. The network helps show where Raúl Silvera may publish in the future.
Co-authorship network of co-authors of Raúl Silvera
This figure shows the co-authorship network connecting the top 25 collaborators of Raúl Silvera. A scholar is included among the top collaborators of Raúl Silvera 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 Raúl Silvera. Raúl Silvera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Simple Profile Rectifications Go A Long Way —Statistically Exploring and Alleviating the Effects of Sampling Errors for Program Optimizations | 3 |
| 2 | 4 | |
| 3 | 122 | |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 21 | |
| 9 | 6 | |
| 10 | 22 | |
| 11 | 9 |
About Raúl Silvera
Raúl Silvera is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 11 papers that have together received 201 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (11 papers), Distributed systems and fault tolerance (4 papers) and Software System Performance and Reliability (4 papers). The work is most often cited by research in Hardware and Architecture (165 citations), Computer Networks and Communications (183 citations) and Experimental and Cognitive Psychology (26 citations). Raúl Silvera has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include José Nelson Amaral, Christopher Barton, Peng Wu, Amy Wang, Matthew Gaudet, Martin Ohmacht, Maged Michael, Yaoqing Gao, Peng Zhao and Bo Wu. Their work appears in journals such as IEEE Transactions on Computers, ACM SIGPLAN Notices and ACM Transactions on Programming Languages and Systems.
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.