Raul J Mondragon

Raul J Mondragon

Queen Mary University of London

H-index: 19

Europe-United Kingdom

About Raul J Mondragon

Raul J Mondragon, With an exceptional h-index of 19 and a recent h-index of 11 (since 2020), a distinguished researcher at Queen Mary University of London, specializes in the field of Complex 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

A First Look at User-Controlled Moderation on Web3 Social Media: The Case of Memo. cash

Set in stone: analysis of an immutable web3 social media platform

Using a Bayesian approach to reconstruct graph statistics after edge sampling

Kuramoto model, phase synchronisation and the network's core

Reconstructing degree distribution and triangle counts from edge-sampled graphs

Investigating the Characteristics of the Response Waiting Time in a Chat Room

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

Raul J Mondragon Information

University

Position

Senior Lecturer School of Electronic Eng. and Computer Science

Citations(all)

3163

Citations(since 2020)

1001

Cited By

2626

hIndex(all)

19

hIndex(since 2020)

11

i10Index(all)

33

i10Index(since 2020)

12

Email

University Profile Page

Queen Mary University of London

Google Scholar

View Google Scholar Profile

Raul J Mondragon Skills & Research Interests

Complex networks

Top articles of Raul J Mondragon

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

A First Look at User-Controlled Moderation on Web3 Social Media: The Case of Memo. cash

Wenrui Zuo

Aravindh Raman

Raul J Mondragon

Gareth Tyson

2023/1/1

Set in stone: analysis of an immutable web3 social media platform

Wenrui Zuo

Aravindh Raman

Raul J Mondragón

Gareth Tyson

2023/4/30

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

Kuramoto model, phase synchronisation and the network's core

arXiv preprint arXiv:2309.11978

Raul J Mondragon

2023/9/21

Reconstructing degree distribution and triangle counts from edge-sampled graphs

Naomi A Arnold

Raúl J Mondragón

Richard G Clegg

2022/11/8

Investigating the Characteristics of the Response Waiting Time in a Chat Room

Gibson O Ikoro

Raul J Mondragon

Graham White

2022

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

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

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

Estimating degree–degree correlation and network cores from the connectivity of high–degree nodes in complex networks

Scientific reports

RJ Mondragón

2020/3/27

See List of Professors in Raul J Mondragon University(Queen Mary University of London)