John Cavazos

3.1k citations
53 papers · 1.7k · 1 hit paper · h-index 23

Impact in

    • Parallel Computing and Optimization Techniques
    • Embedded Systems Design Techniques
  • Software top 2%
    • Software Testing and Debugging Techniques

Papers in

John Cavazos

51 papers receiving 1.6k citations

John Cavazos's Hit Papers

Auto-tuning a high-level language targeted to GPU codes 2012 · 339 citations
3390+4+9Years since publication100200300

Peers

John Cavazos
Comparison fields: 5 of 53
  • Hardware and Architecture 1.4k
  • Software 247
  • Computer Networks and Communications 939
  • Information Systems 636
  • Artificial Intelligence 444
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John Cavazos relative to Jason Ansel United States Jason Ansel's profile →
Citations per field
00.5×1.5×2.1×
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Citations per year

Countries citing papers authored by John Cavazos

Since Specialization
Citations

This map shows the geographic impact of John Cavazos'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 John Cavazos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Cavazos more than expected).

Fields of papers citing papers by John Cavazos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Cavazos. 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 John Cavazos. The network helps show where John Cavazos may publish in the future.

Co-authors

The 25 scholars most cited alongside John Cavazos, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Cavazos Line = papers co-authored together John Cavazos links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Auto-tuning a high-level language targeted to GPU codes
Hit paper breakdown →
2012339
2 2007137
3 2018117
4
Code Generation and Optimization, 2007. CGO '07. International Symposium on
2007102
5 200669
6 200662
7 201255
8 200455
9 200755
10 201653
11
DATE '08 Proceedings of the conference on Design, automation and test in Europe
200847
12 201744
13
Learning to Schedule Straight-Line Code
199742
14 201242
15 200738
16 201135
17 200833
18 201329
19 201128
20 201225

About John Cavazos

John Cavazos is a scholar working on Hardware and Architecture, Computer Networks and Communications, Information Systems, Artificial Intelligence and Signal Processing, having authored 53 papers that have together received 1.7k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (37 papers), Embedded Systems Design Techniques (12 papers), Software Engineering Research (11 papers), Logic, programming, and type systems (10 papers), Advanced Data Storage Technologies (9 papers), Software Testing and Debugging Techniques (5 papers), Distributed and Parallel Computing Systems (5 papers) and Advanced Malware Detection Techniques (5 papers). The work is most often cited by research in Hardware and Architecture (1.4k citations), Software (247 citations), Computer Networks and Communications (939 citations), Information Systems (636 citations) and Artificial Intelligence (444 citations). John Cavazos has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Michael O’Boyle, Lifan Xu, Robert Searles, Sameer G. Kulkarni, Grigori Fursin, Olivier Temam, Edwin V. Bonilla, Felix Agakov, Cristina Silvano and Amir H. Ashouri. Their work appears in journals such as ACM SIGPLAN Notices, ACM Computing Surveys, PLoS ONE, ACM Transactions on Architecture and Code Optimization and International Journal of Parallel Programming.

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.

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