Jackson Mayo

588 citations
14 papers · 180 · h-index 7

Impact in

    • Parallel Computing and Optimization Techniques
    • Distributed and Parallel Computing Systems
    • Advanced Data Storage Technologies
    • Interconnection Networks and Systems
    • Distributed systems and fault tolerance
    • Software System Performance and Reliability

Papers in

Jackson Mayo

13 papers receiving 176 citations

Peers

Jackson Mayo
Comparison fields: 5 of 23
  • Hardware and Architecture 96
  • Computer Networks and Communications 158
  • Information Systems 59
  • Software 6
  • Artificial Intelligence 21
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Citations per field
00.5×8.5×
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Citations per year

Countries citing papers authored by Jackson Mayo

Since Specialization
Citations

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

Fields of papers citing papers by Jackson Mayo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201084
2 200938
3 201517
4 20099
5 20109
6 20087
7 20156
8 20112
9
Finite Difference Stencils Robust to Silent Data Corruption.
20142
10 20102
11
Scalar filtered mass density functions in nonpremixed turbulent jet flames.
20071
12 20201
13 20201
14
Emulytics: Large-Scale Emulation of Botnets.
20091

About Jackson Mayo

Jackson Mayo is a scholar working on Computer Networks and Communications, Information Systems, Hardware and Architecture, Signal Processing and Artificial Intelligence, having authored 14 papers that have together received 180 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (7 papers), Distributed systems and fault tolerance (5 papers), Distributed and Parallel Computing Systems (4 papers), Parallel Computing and Optimization Techniques (4 papers), Software System Performance and Reliability (3 papers), Advanced Malware Detection Techniques (2 papers), Radiation Effects in Electronics (2 papers) and Advanced Data Storage Technologies (2 papers). The work is most often cited by research in Hardware and Architecture (96 citations), Computer Networks and Communications (158 citations), Information Systems (59 citations), Software (6 citations) and Artificial Intelligence (21 citations). Jackson Mayo has collaborated with scholars based in United States. Frequent co-authors include Ali Pınar, Helgi Adalsteinsson, Curtis L. Janssen, Joseph P. Kenny, Ann Gentile, Philippe Pébaÿ, Jim Brandt, David Thompson, Diana C. Roe and Marc Gamell. Their work appears in journals such as International Journal of Distributed Systems and Technologies and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).

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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