Rob Armstrong

603 citations
13 papers · 377 · h-index 7

Impact in

Papers in

Rob Armstrong

13 papers receiving 347 citations

Peers

Rob Armstrong
Comparison fields: 5 of 55
  • Hardware and Architecture 157
  • Information Systems and Management 122
  • Computer Networks and Communications 287
  • Fluid Flow and Transfer Processes 38
  • Information Systems 90
Replace Matthias Jurenz with:
Matthias Jurenz Germany
Yury Oleynik Germany
Ronny Tschüter Germany
Bert Wesarg Germany
T. Haupt United States
Rob F. Van der Wijngaart United States
Michael Wong United States
Iréa Touche France
Luiz De Rose United States
Dan Reed United States
Rob Armstrong relative to Matthias Jurenz Germany Matthias Jurenz's profile →
Citations per field
00.5×9.5×
Matthias Jurenz · 1×
Citations per year

Countries citing papers authored by Rob Armstrong

Since Specialization
Citations

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

Fields of papers citing papers by Rob Armstrong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Rob Armstrong, 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 Rob Armstrong Line = papers co-authored together Rob Armstrong links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2003241
2 200538
3 200425
4 198318
5 198417
6
Computational Quality of Service for Scientific CCA Applications: Composition, Substitution, and Reconfiguration
200613
7 20059
8 20045
9 20024
10 20063
11 19822
12 19851
13 19851

About Rob Armstrong

Rob Armstrong is a scholar working on Computer Networks and Communications, Information Systems, Hardware and Architecture, Computational Mechanics and Statistical and Nonlinear Physics, having authored 13 papers that have together received 377 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (6 papers), Parallel Computing and Optimization Techniques (4 papers), Cloud Computing and Resource Management (3 papers), Advanced Thermodynamics and Statistical Mechanics (2 papers), Software System Performance and Reliability (2 papers), Advanced Data Storage Technologies (2 papers), Fluid Dynamics and Turbulent Flows (2 papers) and Scientific Computing and Data Management (2 papers). The work is most often cited by research in Hardware and Architecture (157 citations), Information Systems and Management (122 citations), Computer Networks and Communications (287 citations), Fluid Flow and Transfer Processes (38 citations) and Information Systems (90 citations). Rob Armstrong has collaborated with scholars based in United States and Germany. Frequent co-authors include Lois Curfman McInnes, Dennis Gannon, K. Keahey, Stephen C. Parker, Al Geist, Scott R. Kohn, Myung S. Jhon, Matthew Sottile, Allen D. Malony and Jaideep Ray. Their work appears in journals such as Bulletin of Mathematical Biology, The Journal of Chemical Physics, Chemical Engineering Communications, Concurrency and Computation Practice and Experience and Lecture notes in computer science.

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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