Mark Marron

1.4k citations
30 papers · 848 indexed · h-index 13

Mark Marron

29 papers receiving 801 citations

Peers

Mark Marron
Comparison fields: 5 of 76
  • Software 171
  • Hardware and Architecture 108
  • Genetics 319
  • Signal Processing 115
  • Information Systems 217
Replace Shigeru Chiba with:
Shigeru Chiba Japan
Franz Schweiggert Germany
Robert R. Henry United States
Sangwoo T. Han United States
Yuzhe Tang United States
Ana B. Sánchez Spain
Jiyang Zhang China
Shay Artzi United States
Robert W. Taylor United States
Mark Marron relative to Shigeru Chiba Japan Shigeru Chiba's profile →
Citations per field
00.5×9.7×
Shigeru Chiba · 1×
Citations per year

Countries citing papers authored by Mark Marron

Since Specialization
Citations

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

Fields of papers citing papers by Mark Marron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201713
2 201614
3
Mining Semantic Loop Idioms from Big Code
20161
4
A Gray Box Approach For High-Fidelity, High-Speed Time-Travel Debugging
20161
5 201552
6 201461
7 201421
8
Heap Analysis Design: An Empirical Approach
20141
9 20134
10 20137
11 201338
12 201218
13 2012108
14 20111
15 20098
16
Modeling the heap: a practical approach
20082
17 20080
18 20078
19 200437
20 1997329

About Mark Marron

Mark Marron is a scholar working on Software, Hardware and Architecture, Artificial Intelligence, Information Systems and Signal Processing, having authored 30 papers that have together received 848 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (12 papers), Software Testing and Debugging Techniques (12 papers), Logic, programming, and type systems (9 papers), Software Engineering Research (8 papers), Security and Verification in Computing (6 papers), Software System Performance and Reliability (4 papers), Advanced Malware Detection Techniques (4 papers) and Cloud Computing and Resource Management (3 papers). The work is most often cited by research in Software (171 citations), Hardware and Architecture (108 citations), Genetics (319 citations), Signal Processing (115 citations) and Information Systems (217 citations). Mark Marron has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Sumit Gulwani, Gustavo Grieco, Juan Caballero, Antonio Nappa, Earl T. Barr, Krister M. Swenson, Bernard M. E. Moret, Deepak Kapur, César Kunz and Juan Manuel Crespo. Their work appears in journals such as ACM SIGPLAN Notices, IEEE Transactions on Software Engineering, Theoretical Computer Science, Human Molecular Genetics and International Journal of Nanomedicine.

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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