Mike O’Connor

4.1k citations
87 papers · 2.8k indexed · 1 hit paper · h-index 29

Mike O’Connor

82 papers receiving 2.6k citations

Hit Papers

Cache-Conscious Wavefront Scheduling3402012202620162021100200300

Peers

Mike O’Connor
Comparison fields: 5 of 106
  • Hardware and Architecture 2.1k
  • Computer Networks and Communications 1.8k
  • Information Systems 512
  • Computational Mathematics 10
  • Electrical and Electronic Engineering 850
Replace Xiaoyao Liang with:
Xiaoyao Liang China
Xavier Martorell Spain
Gabriel H. Loh United States
Jingwen Leng China
Matthew Mattina United States
Glenn Reinman United States
Georgi Gaydadjiev Netherlands
David H. Albonesi United States
Emily Blem United States
Rakesh Kumar United States
Mike O’Connor relative to Xiaoyao Liang China Xiaoyao Liang's profile →
Citations per field
00.5×2.9×
Xiaoyao Liang · 1×
Citations per year

Countries citing papers authored by Mike O’Connor

Since Specialization
Citations

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

Fields of papers citing papers by Mike O’Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Mike O’Connor, 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 O’Connor Line = papers co-authored together Mike O’Connor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20236
2 20227
3 202123
4 201820
5 201832
6 201656
7 201510
8 201599
9 201523
10 201510
11 201530
12 201469
13 201428
14 20135
15
Cache-Conscious Wavefront Schedulingbreakdown →
2012340
16 201277
17 20020
18 199784
19 19911
20 19883

About Mike O’Connor

Mike O’Connor is a scholar working on Hardware and Architecture, Computer Networks and Communications, Electrical and Electronic Engineering, Computer Graphics and Computer-Aided Design and Behavioral Neuroscience, having authored 87 papers that have together received 2.8k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (45 papers), Advanced Data Storage Technologies (35 papers), Distributed and Parallel Computing Systems (14 papers), Interconnection Networks and Systems (11 papers), Semiconductor materials and devices (11 papers), Advanced Memory and Neural Computing (7 papers), Embedded Systems Design Techniques (7 papers) and Cloud Computing and Resource Management (6 papers). The work is most often cited by research in Hardware and Architecture (2.1k citations), Computer Networks and Communications (1.8k citations), Information Systems (512 citations), Computational Mathematics (10 citations) and Electrical and Electronic Engineering (850 citations). Mike O’Connor has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Tor M. Aamodt, Timothy G. Rogers, Stephen W. Keckler, Niladrish Chatterjee, M. Tremblay, Donghyuk Lee, David Nellans, Liang He, Vijay Narayanan and Onur Mutlu. Their work appears in journals such as IEEE Micro, ACM SIGMETRICS Performance Evaluation Review, IEEE Transactions on Electron Devices, ACM SIGPLAN Notices and Computer.

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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