Greg Franks

1.0k citations
30 papers · 636 · h-index 10

Impact in

  • Software top 2%
    • Software Reliability and Analysis Research
    • Software Testing and Debugging Techniques
    • Software System Performance and Reliability
    • Distributed systems and fault tolerance

Papers in

Greg Franks

28 papers receiving 562 citations

Peers

Greg Franks
Comparison fields: 5 of 46
  • Software 224
  • Computer Networks and Communications 564
  • Information Systems 301
  • Artificial Intelligence 257
  • Management Information Systems 55
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J.J. Kenney United States
Petr Tůma Czechia
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Citations per year

Countries citing papers authored by Greg Franks

Since Specialization
Citations

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

Fields of papers citing papers by Greg Franks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Greg Franks, 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 Greg Franks Line = papers co-authored together Greg Franks links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007207
2 2008132
3 199567
4 200634
5 200634
6 199828
7 200616
8 200516
9
Technical assessment of Mir-1 life support hardware for the international space station
199416
10 200611
11 19969
12 20049
13 19999
14 20058
15 20116
16 20075
17 20125
18 20113
19 20073
20 20123

About Greg Franks

Greg Franks is a scholar working on Computer Networks and Communications, Management Information Systems, Artificial Intelligence, Software and Information Systems, having authored 30 papers that have together received 636 indexed citations. Recurring topics across this work include Software System Performance and Reliability (23 papers), Distributed systems and fault tolerance (12 papers), Advanced Queuing Theory Analysis (8 papers), Advanced Software Engineering Methodologies (7 papers), Software Reliability and Analysis Research (6 papers), Cloud Computing and Resource Management (3 papers), Software-Defined Networks and 5G (3 papers) and Planetary Science and Exploration (3 papers). The work is most often cited by research in Software (224 citations), Computer Networks and Communications (564 citations), Information Systems (301 citations), Artificial Intelligence (257 citations) and Management Information Systems (55 citations). Greg Franks has collaborated with scholars based in Canada and United States. Frequent co-authors include Murray Woodside, Dorina C. Petriu, Salem Derisavi, Olivia Das, Alex Hubbard, Jerome Rolia, Shikharesh Majumdar, J. E. Neilson, Jing Xu and Jay L. Perry. Their work appears in journals such as Performance Evaluation, Journal of Systems and Software, ACM SIGMETRICS Performance Evaluation Review, SAE technical papers on CD-ROM/SAE technical paper series and IEEE Transactions on Software Engineering.

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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