Peter Chubb

531 citations
16 papers · 350 · h-index 8

Impact in

Papers in

Peter Chubb

12 papers receiving 315 citations

Peers

Peter Chubb
Comparison fields: 5 of 23
  • Hardware and Architecture 178
  • Software 37
  • Computer Networks and Communications 190
  • Signal Processing 77
  • Artificial Intelligence 204
Replace Jorrit N. Herder with:
Jorrit N. Herder Netherlands
Milenko Drinić United States
Caroline Trippel United States
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Citations per field
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Citations per year

Countries citing papers authored by Peter Chubb

Since Specialization
Citations

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

Fields of papers citing papers by Peter Chubb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Peter Chubb, 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 Peter Chubb Line = papers co-authored together Peter Chubb links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 200594
2 200972
3 200962
4 201640
5 200523
6 200816
7 200516
8
Get more device drivers out of the kernel
200415
9 20144
10 20164
11 20162
12 20161
13
[para]virtualisation without pain
20071
14 20220
15
Where's all the time going? Microstate accounting in Linux 2.5
20030
16
Interrupts considered harmful
20100

About Peter Chubb

Peter Chubb is a scholar working on Computer Networks and Communications, Artificial Intelligence, Hardware and Architecture, Information Systems and Control and Systems Engineering, having authored 16 papers that have together received 350 indexed citations. Recurring topics across this work include Security and Verification in Computing (7 papers), Distributed systems and fault tolerance (6 papers), Parallel Computing and Optimization Techniques (5 papers), Logic, programming, and type systems (4 papers), Advanced Data Storage Technologies (4 papers), Cloud Computing and Resource Management (3 papers), Software Testing and Debugging Techniques (2 papers) and Advanced Software Engineering Methodologies (2 papers). The work is most often cited by research in Hardware and Architecture (178 citations), Software (37 citations), Computer Networks and Communications (190 citations), Signal Processing (77 citations) and Artificial Intelligence (204 citations). Peter Chubb has collaborated with scholars based in Australia, Germany and United States. Frequent co-authors include Gernot Heiser, Ihor Kuz, Leonid Ryzhyk, Ben Leslie, Etienne Le Sueur, Charles T. Gray, Matthew George Chapman, Stefan Götz, Kevin Elphinstone and Volkmar Uhlig. Their work appears in journals such as ACM SIGPLAN Notices, ACM SIGOPS Operating Systems Review, Journal of Computer Science and Technology, UNSWorks (University of New South Wales, Sydney, Australia) and Repository KITopen (Karlsruhe Institute of Technology).

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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