What is he best known for?
The fields of study he is best known for:
- Computer network
- Statistics
- The Internet
His primary scientific interests are in Algorithm, Network packet, Wavelet, Real-time computing and Wavelet transform.
His study in Algorithm is interdisciplinary in nature, drawing from both Traffic generation model, Statistics and Packet switching.
His work in Wavelet addresses issues such as Scaling, which are connected to fields such as Estimation, Key, Theoretical computer science and State.
His Wavelet transform research incorporates themes from Fractal and Hurst exponent.
His studies deal with areas such as Numerical analysis and Data mining as well as Fractal.
The concepts of his Hurst exponent study are interwoven with issues in Estimation theory and Estimator.
His most cited work include:
- Wavelet analysis of long-range-dependent traffic (869 citations)
- A wavelet-based joint estimator of the parameters of long-range dependence (457 citations)
- Wavelets for the Analysis, Estimation, and Synthesis of Scaling Data (323 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Network packet, Computer network, Real-time computing, The Internet and Algorithm.
His research integrates issues of Poisson distribution, Statistical physics and Router in his study of Network packet.
He studied Computer network and Distributed computing that intersect with Queueing theory.
His Algorithm research is multidisciplinary, incorporating elements of Sampling, Estimator, Wavelet and Spectral density.
The Estimator study combines topics in areas such as Estimation theory and Hurst exponent.
His study looks at the intersection of Hurst exponent and topics like Wavelet transform with Key.
He most often published in these fields:
- Network packet (23.94%)
- Computer network (22.54%)
- Real-time computing (19.01%)
What were the highlights of his more recent work (between 2014-2020)?
- Server (7.75%)
- The Internet (17.61%)
- Computer network (22.54%)
In recent papers he was focusing on the following fields of study:
Darryl Veitch mainly focuses on Server, The Internet, Computer network, Artificial intelligence and Scaling.
Darryl Veitch has included themes like Testbed and Timestamp, Timestamping in his Server study.
As part of the same scientific family, Darryl Veitch usually focuses on Testbed, concentrating on Event and intersecting with Network packet.
In his research on the topic of Scaling, Internet traffic, Internet Protocol, Heavy-tailed distribution and Poisson distribution is strongly related with Statistical physics.
His work deals with themes such as Fractal and Robustness, which intersect with Internet traffic.
His work focuses on many connections between Pattern recognition and other disciplines, such as Multicast, that overlap with his field of interest in Algorithm.
Between 2014 and 2020, his most popular works were:
- Scaling in Internet Traffic: A 14 Year and 3 Day Longitudinal Study, With Multiscale Analyses and Random Projections (43 citations)
- Rot at the roots? Examining public timing infrastructure (12 citations)
- Optimal Skampling for the Flow Size Distribution (9 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Statistics
- The Internet
The scientist’s investigation covers issues in Testbed, Computer network, Server, Timestamping and Timestamp.
His Testbed research incorporates elements of Computer security, Routing and Leap second.
In most of his Leap second studies, his work intersects topics such as Network measurement.
His research links Software deployment with Network measurement.
His study brings together the fields of Event and Computer network.
Timestamp is a subfield of Real-time computing that Darryl Veitch investigates.
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