Mike Fagan

13 papers receiving 663 citations

Hit Papers

HPCTOOLKIT: tools for performance analysis of optimized p...20092026201420202009100200300

Peers

Mike Fagan
Comparison fields: 5 of 71
  • Hardware and Architecture 336
  • Computer Networks and Communications 320
  • Artificial Intelligence 236
  • Information Systems 224
  • Computational Theory and Mathematics 118
Replace Michelle Mills Strout with:
Michelle Mills Strout United States
Arthur B. Maccabe United States
Nathan R. Tallent United States
David B. Loveman United States
Thomas Rauber Germany
Manish Vachharajani United States
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Piyush Mehrotra United States
Nicholas J. Dingle United Kingdom
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Mike Fagan relative to Michelle Mills Strout United States Michelle Mills Strout's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mike Fagan

Since Specialization
Citations

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

Fields of papers citing papers by Mike Fagan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mike Fagan

This figure shows the co-authorship network connecting the top 25 collaborators of Mike Fagan. A scholar is included among the top collaborators of Mike Fagan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mike Fagan. Mike Fagan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1
Mixed Single/Double Precision in OpenIFS: A Detailed Study of Energy Savings, Scaling Effects, Architectural Effects, and Compilation Effects
1
2 4
3
HPCTOOLKIT: tools for performance analysis of optimized parallel programsbreakdown →
359
4 74
5
ADJOINT CODE BY SOURCE TRANSFORMATION WITH OPENAD/F
10
6 2
7 5
8 3
9
Design and Implementation of whirl2xaif and xaif2whirl
1
10
Demonstration of Automatically-Generated Adjoint Code for Use in Aerodynamic Shape Optimization
1
11 41
12 200
13 5

About Mike Fagan

Mike Fagan is a scholar working on Hardware and Architecture, Computational Theory and Mathematics and Computer Science Applications, having authored 13 papers that have together received 706 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (5 papers), Logic, programming, and type systems (4 papers) and semigroups and automata theory (2 papers). The work is most often cited by research in Hardware and Architecture (336 citations), Software (64 citations) and Computer Networks and Communications (320 citations). Mike Fagan has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Robert Cartwright, Nathan R. Tallent, Mark W. Krentel, Subarno Banerjee, Gabriel Marin, John Mellor‐Crummey, Laksono Adhianto, Alan Carle, Lawrence Green and Jean Utke. Their work appears in journals such as Future Generation Computer Systems, ACM Transactions on Mathematical Software and ACM SIGPLAN Notices.

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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