Marion G. Harmon

955 total citations
16 papers, 619 citations indexed

About

Marion G. Harmon is a scholar working on Hardware and Architecture, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Marion G. Harmon has authored 16 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Hardware and Architecture, 3 papers in Computational Theory and Mathematics and 2 papers in Computer Networks and Communications. Recurrent topics in Marion G. Harmon's work include Real-Time Systems Scheduling (15 papers), Parallel Computing and Optimization Techniques (13 papers) and Embedded Systems Design Techniques (13 papers). Marion G. Harmon is often cited by papers focused on Real-Time Systems Scheduling (15 papers), Parallel Computing and Optimization Techniques (13 papers) and Embedded Systems Design Techniques (13 papers). Marion G. Harmon collaborates with scholars based in United States and Germany. Marion G. Harmon's co-authors include David Whalley, Christopher Healy, Robert D. Arnold, Frank Mueller, Frank Mueller, T. P. Baker and Chris Healy and has published in prestigious journals such as IEEE Transactions on Computers, ACM SIGPLAN Notices and Software Practice and Experience.

In The Last Decade

Marion G. Harmon

16 papers receiving 542 citations

Peers

Marion G. Harmon
Comparison fields: 5 of 20
  • Hardware and Architecture 603
  • Computer Networks and Communications 202
  • Computational Theory and Mathematics 71
  • Software 28
  • Artificial Intelligence 21
Replace C.-W. Tseng with:
C.-W. Tseng United States
Dumitru Potop‐Butucaru France
Claire Maïza France
Jens Brandt Germany
Markus Pister Germany
Brian Dobbing United Kingdom
Simon Perathoner Switzerland
C. Jacquemot France
Dieter Haban Germany
Ashok Sudarsanam United States
C.-W. Tseng United States View profile →
Citations per field, relative to Marion G. Harmon
Marion G. Harmon · 1×
Citations per year, relative to Marion G. Harmon
Marion G. Harmon · 1×

Countries citing papers authored by Marion G. Harmon

Since Specialization
Citations

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

Fields of papers citing papers by Marion G. Harmon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marion G. Harmon. 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 Marion G. Harmon. The network helps show where Marion G. Harmon may publish in the future.

Co-authorship network of co-authors of Marion G. Harmon

This figure shows the co-authorship network connecting the top 25 collaborators of Marion G. Harmon. A scholar is included among the top collaborators of Marion G. Harmon 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 Marion G. Harmon. Marion G. Harmon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 18
2 3
3 96
4 11
5 90
6 4
7 42
8 10
9 151
10 12
11 7
12
* Bounding Worst-case Instruction Cache Performance
140
13 28
14
Predicting execution time on contemporary computer architectures
4
15 2
16 1

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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