Paul Tune
Impact in
- Computational Mathematics top 10%
-
- Network Traffic and Congestion Control
- Software-Defined Networks and 5G
- Network Security and Intrusion Detection
- Cooperative Communication and Network Coding
Papers in
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- Network Traffic and Congestion Control 11
- Software-Defined Networks and 5G 6
- Network Security and Intrusion Detection 5
-
- Advanced Optical Network Technologies 6
- Co-authors
- Matthew Roughan (13 shared papers)Darryl Veitch (5 shared papers)Stephen V. Hanly (4 shared papers)Linda M. Davis (3 shared papers)Hung Nguyen (2 shared papers)Simon Knight (1 shared paper)Kenjiro Cho (2 shared papers)Alex Grant (1 shared paper)
- Journals
- ACM SIGMETRICS Performance Evaluation Review (3 papers)IEEE Transactions on Information Theory (2 papers)ACM SIGCOMM Computer Communication Review (1 paper)Digital Signal Processing (1 paper)Computer Networks (1 paper)
- Partner nations
- AustraliaUnited StatesIndia
In The Last Decade
Paul Tune
24 papers receiving 326 citations
Peers
Comparison fields: 5 of 42
- Computational Mathematics 14
- Computer Networks and Communications 256
- Signal Processing 39
- Artificial Intelligence 115
- Computational Mechanics 57
Countries citing papers authored by Paul Tune
This map shows the geographic impact of Paul Tune'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 Paul Tune with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Tune more than expected).
Fields of papers citing papers by Paul Tune
This network shows the impact of papers produced by Paul Tune. 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 Paul Tune. The network helps show where Paul Tune may publish in the future.
Co-authors
The 17 scholars most cited alongside Paul Tune, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Internet Traffic Matrices: A Primer | 2013 | 76 |
| 2 | 2008 | 38 | |
| 3 | 2015 | 30 | |
| 4 | 2015 | 21 | |
| 5 | 2009 | 19 | |
| 6 | 2012 | 19 | |
| 7 | 2011 | 17 | |
| 8 | 2011 | 16 | |
| 9 | 2011 | 16 | |
| 10 | 2018 | 15 | |
| 11 | 2009 | 12 | |
| 12 | 2015 | 11 | |
| 13 | 2014 | 7 | |
| 14 | 2012 | 7 | |
| 15 | 2010 | 5 | |
| 16 | 2017 | 5 | |
| 17 | 2014 | 4 | |
| 18 | 2017 | 4 | |
| 19 | 2013 | 3 | |
| 20 | 2016 | 3 |
About Paul Tune
Paul Tune is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Statistical and Nonlinear Physics, Artificial Intelligence and Signal Processing, having authored 27 papers that have together received 335 indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (11 papers), Complex Network Analysis Techniques (7 papers), Advanced Optical Network Technologies (6 papers), Software-Defined Networks and 5G (6 papers), Internet Traffic Analysis and Secure E-voting (6 papers), Network Security and Intrusion Detection (5 papers), Blind Source Separation Techniques (4 papers) and Sparse and Compressive Sensing Techniques (4 papers). The work is most often cited by research in Computational Mathematics (14 citations), Computer Networks and Communications (256 citations), Signal Processing (39 citations), Artificial Intelligence (115 citations) and Computational Mechanics (57 citations). Paul Tune has collaborated with scholars based in Australia, United States and India. Frequent co-authors include Matthew Roughan, Darryl Veitch, Stephen V. Hanly, Linda M. Davis, Hung Nguyen, Simon Knight, Kenjiro Cho, Alex Grant, Nickolas Falkner and Bin Fang. Their work appears in journals such as ACM SIGMETRICS Performance Evaluation Review, IEEE Transactions on Information Theory, ACM SIGCOMM Computer Communication Review, Digital Signal Processing and Computer Networks.
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.