H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 60 Citations 15,622 184 World Ranking 1522 National Ranking 849

Research.com Recognitions

Awards & Achievements

2020 - ACM Fellow For contributions to network measurement and analysis

Overview

What is he best known for?

The fields of study he is best known for:

  • Computer network
  • Statistics
  • The Internet

Nick Duffield spends much of his time researching Computer network, Network packet, Sampling, Real-time computing and Distributed computing. His Computer network study integrates concerns from other disciplines, such as The Internet and Denial-of-service attack. The Network packet study combines topics in areas such as Flow and Traffic generation model.

His Sampling research integrates issues from Estimator, Data mining, Selection and Entropy. His Real-time computing research includes themes of Estimation theory, Range, Simulation, Packet loss and Measure. His work carried out in the field of Distributed computing brings together such families of science as Routing and Internet traffic.

His most cited work include:

  • A flexible model for resource management in virtual private networks (531 citations)
  • Fast accurate computation of large-scale IP traffic matrices from link loads (499 citations)
  • On the constancy of internet path properties (445 citations)

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

Nick Duffield focuses on Computer network, Network packet, Sampling, Real-time computing and Data mining. His Computer network research is multidisciplinary, incorporating elements of The Internet and Distributed computing. Nick Duffield has included themes like NetFlow, Network monitoring, Flow and Router in his Network packet study.

His work on Reservoir sampling is typically connected to Context as part of general Sampling study, connecting several disciplines of science. His biological study spans a wide range of topics, including Service provider and Packet loss. His work is dedicated to discovering how Data mining, Theoretical computer science are connected with Inference and other disciplines.

He most often published in these fields:

  • Computer network (24.51%)
  • Network packet (24.11%)
  • Sampling (22.53%)

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

  • Sampling (22.53%)
  • Artificial intelligence (6.72%)
  • Graph (5.53%)

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

Nick Duffield mostly deals with Sampling, Artificial intelligence, Graph, Graph and Algorithm. The various areas that he examines in his Sampling study include Estimator and Pairwise comparison. The concepts of his Estimator study are interwoven with issues in Martingale, Data mining and Reservoir sampling.

His studies deal with areas such as Theoretical computer science and Inference as well as Graph. His Algorithm study incorporates themes from Sample, Biological network and Scalability. Provisioning is a subfield of Computer network that Nick Duffield explores.

Between 2015 and 2021, his most popular works were:

  • Graphlet decomposition: framework, algorithms, and applications (53 citations)
  • On sampling from massive graph streams (51 citations)
  • Variational Graph Recurrent Neural Networks (33 citations)

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

  • Computer network
  • Statistics
  • The Internet

His primary scientific interests are in Theoretical computer science, Graph, Sampling, Algorithm and Inference. His Theoretical computer science study combines topics from a wide range of disciplines, such as Recommender system, Representation, Graph embedding and Cluster analysis. His research integrates issues of Projection, Connection, Graph neural networks, Similarity and Bayesian probability in his study of Sampling.

His work deals with themes such as Scalability and Biological network, which intersect with Algorithm. His Inference research incorporates themes from Recurrent neural network, Random variable, Feature learning and Generative grammar, Generative model. Estimator is closely attributed to STREAMS in his study.

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

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

A flexible model for resource management in virtual private networks

N. G. Duffield;Pawan Goyal;Albert Greenberg;Partho Mishra.
acm special interest group on data communication (1999)

731 Citations

Large deviations and overflow probabilities for the general single-server queue, with applications

N. G. Duffield;Neil O'connell.
Mathematical Proceedings of the Cambridge Philosophical Society (1995)

690 Citations

On the constancy of internet path properties

Yin Zhang;Nick Duffield.
acm special interest group on data communication (2001)

638 Citations

Multicast-based inference of network-internal loss characteristics

R. Caceres;N.G. Duffield;J. Horowitz;D.F. Towsley.
IEEE Transactions on Information Theory (1999)

563 Citations

Estimating flow distributions from sampled flow statistics

Nick Duffield;Carsten Lund;Mikkel Thorup.
acm special interest group on data communication (2003)

371 Citations

Trajectory sampling for direct traffic observation

N. G. Duffield;Matthias Grossglauser.
IEEE ACM Transactions on Networking (2001)

365 Citations

Network tomography on general topologies

Tian Bu;Nick Duffield;Francesco Lo Presti;Don Towsley.
measurement and modeling of computer systems (2002)

363 Citations

Multicast-based inference of network-internal delay distributions

Francesco Lo Presti;N. G. Duffield;Joe Horowitz;Don Towsley.
IEEE ACM Transactions on Networking (2002)

363 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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