Michael Burrows

682 citations
20 papers · 272 · h-index 9

Impact in

    • Parallel Computing and Optimization Techniques
    • Advanced Data Storage Technologies
    • Distributed systems and fault tolerance
    • Distributed and Parallel Computing Systems
    • Caching and Content Delivery
    • Software System Performance and Reliability

Papers in

Michael Burrows

17 papers receiving 237 citations

Peers

Michael Burrows
Comparison fields: 5 of 56
  • Hardware and Architecture 99
  • Computer Networks and Communications 175
  • Artificial Intelligence 49
  • Pharmaceutical Science 7
  • Geriatrics and Gerontology 3
Replace R. H. Thomas with:
R. H. Thomas United States
Frédéric Loulergue France
Ernesto Su United States
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Citations per field
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Citations per year

Countries citing papers authored by Michael Burrows

Since Specialization
Citations

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

Fields of papers citing papers by Michael Burrows

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Michael Burrows, 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 Michael Burrows Line = papers co-authored together Michael Burrows links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 199264
2 198946
3 198936
4 200428
5 202220
6 201718
7 202010
8 19929
9 20238
10 19817
11 19877
12 20165
13 20175
14 20242
15 20022
16 19911
17 20081
18 19911
19 19911
20 20211

About Michael Burrows

Michael Burrows is a scholar working on Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence, Molecular Biology and Pharmacology, having authored 20 papers that have together received 272 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (5 papers), Advanced Data Storage Technologies (4 papers), Interconnection Networks and Systems (3 papers), Cancer therapeutics and mechanisms (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Algorithms and Data Compression (2 papers), Logic, programming, and type systems (1 paper) and American and British Literature Analysis (1 paper). The work is most often cited by research in Hardware and Architecture (99 citations), Computer Networks and Communications (175 citations), Artificial Intelligence (49 citations), Pharmaceutical Science (7 citations) and Geriatrics and Gerontology (3 citations). Michael Burrows has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Michael Schroeder, Timothy Mann, Butler Lampson, Sheila Greenfield, Ian Litchfield, Nicola Gale, K. Rustan M. Leino, Philip D. Jeffrey, Anja Bye and ANTHONY VIVIER. Their work appears in journals such as British Journal of General Practice, BMC Family Practice, British Journal of Dermatology, Laboratory Animals and BMJ Open.

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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