Michelle Mills Strout

1.8k citations
70 papers · 970 indexed · h-index 19

Michelle Mills Strout

64 papers receiving 923 citations

Peers

Michelle Mills Strout
Comparison fields: 5 of 67
  • Hardware and Architecture 735
  • Computational Mathematics 48
  • Computer Networks and Communications 568
  • Software 46
  • Computational Theory and Mathematics 148
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Citations per year

Countries citing papers authored by Michelle Mills Strout

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Mills Strout

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle Mills Strout. 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 Michelle Mills Strout. The network helps show where Michelle Mills Strout may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Michelle Mills Strout, 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 Michelle Mills Strout Line = papers co-authored together Michelle Mills Strout links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20232
2 202213
3 20186
4 201620
5 201411
6 201425
7 20130
8 20131
9 20122
10 20101
11
Improving Random Walk Performance.
20091
12 20094
13 200752
14 200752
15
ADJOINT CODE BY SOURCE TRANSFORMATION WITH OPENAD/F
200610
16 200429
17 200356
18
Performance transformations for irregular applications
20033
19
Combining Performance Aspects of Irregular Gauss-Seidel via Sparse Tiling
20020
20 19992

About Michelle Mills Strout

Michelle Mills Strout is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computational Mathematics, having authored 70 papers that have together received 970 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (52 papers), Distributed and Parallel Computing Systems (22 papers), Advanced Data Storage Technologies (21 papers), Embedded Systems Design Techniques (12 papers), Interconnection Networks and Systems (9 papers), Logic, programming, and type systems (6 papers), Matrix Theory and Algorithms (5 papers) and Software Testing and Debugging Techniques (5 papers). The work is most often cited by research in Hardware and Architecture (735 citations), Computational Mathematics (48 citations) and Computer Networks and Communications (568 citations). Michelle Mills Strout has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Larry Carter, Jeanne Ferrante, Mary Hall, Paul Hovland, Anand Venkat, Catherine Olschanowsky, Sanjay Rajopadhye, Manu Shantharam, Jean Utke and Beth Simon. Their work appears in journals such as ACM SIGPLAN Notices, The International Journal of High Performance Computing Applications, ACM Transactions on Mathematical Software, Proceedings of the IEEE and ACM Transactions on Programming Languages and Systems.

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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