Richard G. Clegg

Richard G. Clegg

Queen Mary University of London

H-index: 21

Europe-United Kingdom

About Richard G. Clegg

Richard G. Clegg, With an exceptional h-index of 21 and a recent h-index of 13 (since 2020), a distinguished researcher at Queen Mary University of London, specializes in the field of Network science, Network traffic statistics, Overlay networks..

His recent articles reflect a diverse array of research interests and contributions to the field:

Insights and caveats from mining local and global temporal motifs in cryptocurrency transaction networks

Using a Bayesian approach to reconstruct graph statistics after edge sampling

Non-Markovian paths and cycles in NFT trades

Measuring equality and hierarchical mobility on abstract complex networks

Temporal Network Analysis of Email Communication Patterns in a Long Standing Hierarchy

Reconstructing degree distribution and triangle counts from edge-sampled graphs

Likelihood-based approach to discriminate mixtures of network models that vary in time

Internet traffic volumes are not Gaussian—They are log-normal: An 18-year longitudinal study with implications for modelling and prediction

Richard G. Clegg Information

University

Position

___

Citations(all)

2158

Citations(since 2020)

886

Cited By

1658

hIndex(all)

21

hIndex(since 2020)

13

i10Index(all)

35

i10Index(since 2020)

18

Email

University Profile Page

Queen Mary University of London

Google Scholar

View Google Scholar Profile

Richard G. Clegg Skills & Research Interests

Network science

Network traffic statistics

Overlay networks.

Top articles of Richard G. Clegg

Title

Journal

Author(s)

Publication Date

Insights and caveats from mining local and global temporal motifs in cryptocurrency transaction networks

arXiv preprint arXiv:2402.09272

Naomi A Arnold

Peijie Zhong

Cheick Tidiane Ba

Ben Steer

Raul Mondragon

...

2024/2/14

Using a Bayesian approach to reconstruct graph statistics after edge sampling

Applied Network Science

Naomi A Arnold

Raúl J Mondragón

Richard G Clegg

2023/11/17

Non-Markovian paths and cycles in NFT trades

arXiv preprint arXiv:2303.11181

Haaroon Yousaf

Naomi A Arnold

Renaud Lambiotte

Timothy LaRock

Richard G Clegg

...

2023/3/20

Measuring equality and hierarchical mobility on abstract complex networks

Matthew Russell Barnes

Vincenzo Nicosia

Richard G Clegg

2023/1/2

Temporal Network Analysis of Email Communication Patterns in a Long Standing Hierarchy

arXiv preprint arXiv:2311.13442

Matthew Russell Barnes

Mladen Karan

Stephen McQuistin

Colin Perkins

Gareth Tyson

...

2023/11/22

Reconstructing degree distribution and triangle counts from edge-sampled graphs

Naomi A Arnold

Raúl J Mondragón

Richard G Clegg

2022/11/8

Likelihood-based approach to discriminate mixtures of network models that vary in time

Scientific reports

Naomi A Arnold

Raul J Mondragón

Richard G Clegg

2021/3/4

Internet traffic volumes are not Gaussian—They are log-normal: An 18-year longitudinal study with implications for modelling and prediction

IEEE/ACM Transactions on Networking

Mohammed Alasmar

Richard Clegg

Nickolay Zakhleniuk

George Parisis

2021/2/23

Moving with the times: investigating the alt-right network gab with temporal interaction graphs

Proceedings of the ACM on Human-Computer Interaction

Naomi A Arnold

Benjamin Steer

Imane Hafnaoui

Hugo A Parada G

Raul J Mondragón

...

2021/10/18

Dana: Dimension-adaptive neural architecture for multivariate sensor data

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)

Mohammad Malekzadeh

Richard G Clegg

Andrea Cavallaro

Hamed Haddadi

2021/9

Raphtory: Streaming analysis of distributed temporal graphs

Future Generation Computer Systems

Benjamin Steer

Felix Cuadrado

Richard Clegg

2020/1/1

Simplification of networks by conserving path diversity and minimisation of the search information

Scientific Reports

Hengda Yin

Richard G Clegg

Raul J Mondragón

2020/11/5

Privacy and utility preserving sensor-data transformations

Mohammad Malekzadeh

Richard G Clegg

Andrea Cavallaro

Hamed Haddadi

2020

2019 Index IEEE Transactions on Cloud Computing Vol. 7

IEEE Transactions on Cloud Computing

T Abdullah

V Aggarwal

O Akgun

H Akkary

Z Al Aghbari

...

2020/1

See List of Professors in Richard G. Clegg University(Queen Mary University of London)

Co-Authors

H-index: 101
Jon Crowcroft

Jon Crowcroft

University of Cambridge

H-index: 55
Andrea Cavallaro

Andrea Cavallaro

Queen Mary University of London

H-index: 52
Peter Pietzuch

Peter Pietzuch

Imperial College London

H-index: 52
George Pavlou

George Pavlou

University College London

H-index: 50
Hamed Haddadi

Hamed Haddadi

Imperial College London

H-index: 46
Richard Mortier

Richard Mortier

University of Cambridge

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