Bryan Cantrill

604 citations
7 papers · 379 indexed · h-index 5
Journals
Queue (3 papers)Communications of the ACM (2 papers)USENIX Annual Technical Conference (1 paper)
Partner nations
United States

In The Last Decade

Bryan Cantrill

6 papers receiving 334 citations

Peers

Bryan Cantrill
Comparison fields: 5 of 27
  • Hardware and Architecture 157
  • Computer Networks and Communications 309
  • Software 37
  • Information Systems 161
  • Artificial Intelligence 119
Replace Spyridon Triantafyllis with:
Spyridon Triantafyllis United States
David Kaminsky United States
Bryan Buck United States
Tony Printezis United Kingdom
Laurent Daynès United States
Andrea Rosà Switzerland
Jimi Xenidis United States
M.E. Segal United States
Peter A. Buhr Canada
Silvius Rus United States
Bryan Cantrill relative to Spyridon Triantafyllis United States Spyridon Triantafyllis's profile →
Citations per field
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Citations per year

Countries citing papers authored by Bryan Cantrill

Since Specialization
Citations

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

Fields of papers citing papers by Bryan Cantrill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 2 scholars most cited alongside Bryan Cantrill, 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 Bryan Cantrill Line = papers co-authored together Bryan Cantrill links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 20091
2 200835
3 200819
4 20084
5 200620
6
Dynamic instrumentation of production systems
2004293
7 20027

About Bryan Cantrill

Bryan Cantrill is a scholar working on Hardware and Architecture, Computer Networks and Communications, Information Systems, Artificial Intelligence and Infectious Diseases, having authored 7 papers that have together received 379 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (4 papers), Distributed and Parallel Computing Systems (3 papers), Advanced Data Storage Technologies (2 papers), Advanced Database Systems and Queries (2 papers), Real-Time Systems Scheduling (1 paper), Software System Performance and Reliability (1 paper), Advanced Software Engineering Methodologies (1 paper) and Cloud Computing and Resource Management (1 paper). The work is most often cited by research in Hardware and Architecture (157 citations), Computer Networks and Communications (309 citations), Software (37 citations), Information Systems (161 citations) and Artificial Intelligence (119 citations). Bryan Cantrill has collaborated with scholars based in United States. Frequent co-authors include Adam Leventhal and Steve Bourne. Their work appears in journals such as Queue, Communications of the ACM and USENIX Annual Technical Conference.

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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