H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 34 Citations 8,422 126 World Ranking 6287 National Ranking 184

Research.com Recognitions

Awards & Achievements

2019 - IEEE Fellow For contributions to Internet measurement and analysis

2018 - ACM Fellow For contributions to Internet measurement and analysis, with applications to network engineering

Overview

What is he best known for?

The fields of study he is best known for:

  • Computer network
  • Statistics
  • The Internet

Matthew Roughan mainly focuses on Computer network, Traffic generation model, Internet traffic, Traffic engineering and Internet protocol suite. His study in The Internet extends to Computer network with its themes. His research integrates issues of Network traffic control, Distribution, Theoretical computer science and Topology in his study of Traffic generation model.

He interconnects Anomaly detection, Data mining, Missing data, Matrix decomposition and Compressed sensing in the investigation of issues within Internet traffic. His studies deal with areas such as Simple Network Management Protocol and Mathematical optimization as well as Traffic engineering. In his research, Burstiness is intimately related to Distributed computing, which falls under the overarching field of Internet protocol suite.

His most cited work include:

  • The Internet Topology Zoo (750 citations)
  • Fast accurate computation of large-scale IP traffic matrices from link loads (499 citations)
  • Class-of-service mapping for QoS: a statistical signature-based approach to IP traffic classification (442 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of study are Computer network, The Internet, Data mining, Distributed computing and Computer security. His is involved in several facets of Computer network study, as is seen by his studies on Traffic engineering, Simple Network Management Protocol, Routing, Network topology and Network traffic control. In his study, Internet protocol suite, Mathematical optimization and Internet traffic is strongly linked to Traffic generation model, which falls under the umbrella field of Simple Network Management Protocol.

In his study, Complex network is inextricably linked to Data science, which falls within the broad field of The Internet. His work on Anomaly detection as part of general Data mining research is often related to Set, thus linking different fields of science. His research investigates the connection with Distributed computing and areas like Router which intersect with concerns in Border Gateway Protocol.

He most often published in these fields:

  • Computer network (23.50%)
  • The Internet (15.85%)
  • Data mining (14.75%)

What were the highlights of his more recent work (between 2015-2021)?

  • Computer security (13.11%)
  • Social network (3.28%)
  • Data mining (14.75%)

In recent papers he was focusing on the following fields of study:

The scientist’s investigation covers issues in Computer security, Social network, Data mining, Information cascade and Distributed computing. In his research on the topic of Computer security, Automation, Network topology and Telecommunications network is strongly related with SCADA. His biological study spans a wide range of topics, including Entropy, Traffic engineering and Statistical model.

His Social network study incorporates themes from Field, Machine learning and Artificial intelligence. His Data mining research includes themes of Dissemination, Scalability, Enhanced Data Rates for GSM Evolution and Sample. His studies in Distributed computing integrate themes in fields like Consistency and Traffic trace.

Between 2015 and 2021, his most popular works were:

  • Clear as MUD: Generating, Validating and Applying IoT Behavioral Profiles (31 citations)
  • Case Studies of SCADA Firewall Configurations and the Implications for Best Practices (15 citations)
  • The Effect of Common Vulnerability Scoring System Metrics on Vulnerability Exploit Delay (12 citations)

In his most recent research, the most cited papers focused on:

  • Computer network
  • Statistics
  • The Internet

His primary scientific interests are in Computer security, Formal specification, Critical infrastructure, Operating environment and Algorithm. His Computer security research integrates issues from Network topology and SCADA. Matthew Roughan merges Network topology with Best practice in his study.

His Formal specification research incorporates elements of Network behavior, Traffic trace and Acceptance testing. His work deals with themes such as Consistency and Distributed computing, which intersect with Critical infrastructure. His Approximation algorithm study in the realm of Algorithm connects with subjects such as Potts model.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

The Internet Topology Zoo

S. Knight;H. X. Nguyen;N. Falkner;R. Bowden.
IEEE Journal on Selected Areas in Communications (2011)

947 Citations

Fast accurate computation of large-scale IP traffic matrices from link loads

Yin Zhang;Matthew Roughan;Nick Duffield;Albert Greenberg.
measurement and modeling of computer systems (2003)

770 Citations

Class-of-service mapping for QoS: a statistical signature-based approach to IP traffic classification

Matthew Roughan;Subhabrata Sen;Oliver Spatscheck;Nick Duffield.
internet measurement conference (2004)

735 Citations

The "robust yet fragile" nature of the Internet

John C. Doyle;David L. Alderson;Lun Li;Steven Low.
Proceedings of the National Academy of Sciences of the United States of America (2005)

538 Citations

An information-theoretic approach to traffic matrix estimation

Yin Zhang;Matthew Roughan;Carsten Lund;David Donoho.
acm special interest group on data communication (2003)

395 Citations

Spatio-temporal compressive sensing and internet traffic matrices

Yin Zhang;Matthew Roughan;Walter Willinger;Lili Qiu.
acm special interest group on data communication (2009)

355 Citations

Experience in measuring internet backbone traffic variability: Models metrics, measurements and meaning

Matthew Roughan;Albert Greenberg;Charles Kalmanek;Michael Rumsewicz.
Teletraffic Science and Engineering (2003)

295 Citations

Network anomography

Yin Zhang;Zihui Ge;Albert Greenberg;Matthew Roughan.
internet measurement conference (2005)

287 Citations

Experience in measuring backbone traffic variability: models, metrics, measurements and meaning

Matthew Roughan;Albert Greenberg;Charles Kalmanek;Michael Rumsewicz.
acm special interest group on data communication (2002)

258 Citations

Building an AS-topology model that captures route diversity

Wolfgang Mühlbauer;Anja Feldmann;Olaf Maennel;Matthew Roughan.
acm special interest group on data communication (2006)

218 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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