Mike Rainey

703 citations
26 papers · 379 · h-index 12

Impact in

    • Parallel Computing and Optimization Techniques
    • Embedded Systems Design Techniques
    • Distributed and Parallel Computing Systems
    • Distributed systems and fault tolerance
    • Advanced Data Storage Technologies
    • Interconnection Networks and Systems

Papers in

Mike Rainey

22 papers receiving 362 citations

Peers

Mike Rainey
Comparison fields: 5 of 20
  • Hardware and Architecture 331
  • Computer Networks and Communications 311
  • Artificial Intelligence 128
  • Information Systems 83
  • Software 10
Replace Simone Campanoni with:
Simone Campanoni United States
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Jun Shirako United States
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Mike Rainey relative to Simone Campanoni United States Simone Campanoni's profile →
Citations per field
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Simone Campanoni · 1×
Citations per year

Countries citing papers authored by Mike Rainey

Since Specialization
Citations

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

Fields of papers citing papers by Mike Rainey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201380
2 201045
3 200737
4 200828
5 200727
6 200822
7 200822
8 200821
9 201019
10 201117
11 201316
12 201315
13 20169
14 20215
15 20124
16 20193
17 20222
18 20172
19 20132
20 20241

About Mike Rainey

Mike Rainey is a scholar working on Hardware and Architecture, Computer Networks and Communications, Artificial Intelligence, Information Systems and Mechanical Engineering, having authored 26 papers that have together received 379 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (25 papers), Distributed and Parallel Computing Systems (16 papers), Interconnection Networks and Systems (11 papers), Logic, programming, and type systems (7 papers), Distributed systems and fault tolerance (7 papers), Cloud Computing and Resource Management (2 papers), Embedded Systems Design Techniques (1 paper) and Quantum Computing Algorithms and Architecture (1 paper). The work is most often cited by research in Hardware and Architecture (331 citations), Computer Networks and Communications (311 citations), Artificial Intelligence (128 citations), Information Systems (83 citations) and Software (10 citations). Mike Rainey has collaborated with scholars based in United States, Germany and France. Frequent co-authors include John Reppy, Matthew Fluet, Umut A. Acar, Arthur Charguéraud, Lars Bergström, Milind Kulkarni, Peter A. Dinda, Simone Campanoni, Daniel Anderson and Ryan Newton. Their work appears in journals such as ACM SIGPLAN Notices, Journal of Functional Programming, Proceedings of the ACM on Programming Languages and Kent Academic Repository (University of Kent).

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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