Rafael H. Saavedra
- Hardware and Architecture top 2%
- Computer Networks and Communications top 5%
- Information Systems top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Topics
- Parallel Computing and Optimization Techniques (14 papers)Advanced Data Storage Technologies (10 papers)Distributed systems and fault tolerance (5 papers)
- Journals
- IEEE Transactions on Software EngineeringIEEE Transactions on ComputersACM Transactions on Computer Systems
- Partner nations
- United StatesSouth Korea
In The Last Decade
Rafael H. Saavedra
14 papers receiving 271 citations
Peers
Comparison fields: 5 of 30
- Hardware and Architecture 261
- Computer Networks and Communications 252
- Information Systems 90
- Electrical and Electronic Engineering 40
- Artificial Intelligence 30
Countries citing papers authored by Rafael H. Saavedra
This map shows the geographic impact of Rafael H. Saavedra'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 Rafael H. Saavedra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafael H. Saavedra more than expected).
Fields of papers citing papers by Rafael H. Saavedra
This network shows the impact of papers produced by Rafael H. Saavedra. 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 Rafael H. Saavedra. The network helps show where Rafael H. Saavedra may publish in the future.
Co-authorship network of co-authors of Rafael H. Saavedra
This figure shows the co-authorship network connecting the top 25 collaborators of Rafael H. Saavedra. A scholar is included among the top collaborators of Rafael H. Saavedra 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 Rafael H. Saavedra. Rafael H. Saavedra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Characterizing the Performance Space of Shared Memory Computers Using Micro-Benchmarks | 1 |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 12 | |
| 5 | Hyperblocking: A Data Reorganization Method to Eliminate Cache Conflicts in Tiled Loop Nests | 4 |
| 6 | 2 | |
| 7 | A compiler analysis of cache interference and its applications to compiler optimizations | 2 |
| 8 | 143 | |
| 9 | 1 | |
| 10 | 17 | |
| 11 | 78 | |
| 12 | 11 | |
| 13 | 10 | |
| 14 | 25 | |
| 15 | Analysis of Benchmark Characteristics and Benchmark Performance | 4 |
About Rafael H. Saavedra
Rafael H. Saavedra is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 15 papers that have together received 317 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (14 papers), Advanced Data Storage Technologies (10 papers) and Distributed systems and fault tolerance (5 papers). The work is most often cited by research in Hardware and Architecture (261 citations), Computer Networks and Communications (252 citations) and Information Systems (90 citations). Rafael H. Saavedra has collaborated with scholars based in United States and South Korea. Frequent co-authors include Alan Jay Smith, R. Stockton Gaines, Jacqueline Chame, Mao Wang and Kai Hwang. Their work appears in journals such as IEEE Transactions on Software Engineering, IEEE Transactions on Computers and ACM Transactions on Computer 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.