Greg Franks

1.1k citations
31 papers · 742 · h-index 11

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

30 papers receiving 685 citations

Peers

Greg Franks
Comparison fields: 5 of 48
  • Software 277
  • Computer Networks and Communications 666
  • Information Systems 349
  • Artificial Intelligence 314
  • Management Information Systems 59
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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 21 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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007241
2 2008150
3 199588
4 200640
5 200638
6 199833
7 200521
8
Technical assessment of Mir-1 life support hardware for the international space station
199417
9 200615
10 200411
11 199911
12 200611
13 199610
14 20058
15 20117
16 20076
17 20125
18 19945
19 20094
20 20073

About Greg Franks

Greg Franks is a scholar working on Computer Networks and Communications, Management Information Systems, Software, Artificial Intelligence and Information Systems, having authored 31 papers that have together received 742 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 (9 papers), Software Reliability and Analysis Research (6 papers), Advanced Software Engineering Methodologies (5 papers), Software-Defined Networks and 5G (5 papers), Cloud Computing and Resource Management (4 papers) and Network Traffic and Congestion Control (3 papers). The work is most often cited by research in Software (277 citations), Computer Networks and Communications (666 citations), Information Systems (349 citations), Artificial Intelligence (314 citations) and Management Information Systems (59 citations). Greg Franks has collaborated with scholars based in Canada and United States. Frequent co-authors include Murray Woodside, Dorina Corina Petriu, Salem Derisavi, Olivia Das, Shikharesh Majumdar, Jerome Rolia, Alex R. Hubbard, J. E. Neilson, Jing Xu and Lianhua Li. Their work appears in journals such as Journal of Systems and Software, Performance Evaluation, IEEE Transactions on Software Engineering, ACM SIGMETRICS Performance Evaluation Review and SAE technical papers on CD-ROM/SAE technical paper series.

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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