Claudia Peersman

Claudia Peersman

University of Bristol

H-index: 12

Europe-United Kingdom

About Claudia Peersman

Claudia Peersman, With an exceptional h-index of 12 and a recent h-index of 11 (since 2020), a distinguished researcher at University of Bristol, specializes in the field of Cyber Security, Computational Linguistics.

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

Characterising Discourse and Engagement Across Topics of Misinformation on Twitter

Towards a Framework for Evaluating CSAM Prevention and Detection Tools in the Context of End-to-end Encryption Environments: a Case Study

A Survey of Relevant Text Mining Technology

REPHRAIN Map of Online harms, risks, and vulnerabilities

Automatic User Profiling in Darknet Markets: a Scalability Study

How darknet market users learned to worry more and love PGP: Analysis of security advice on darknet marketplaces

Understanding motivations and characteristics of financially-motivated cybercriminals

A Rapid Evidence Assessment of Technical Tools for the Detection and Disruption of Child Sexual Abuse Media (CSAM) and CSAM Offenders in The ASEAN Region

Claudia Peersman Information

University

Position

Senior Research Associate

Citations(all)

919

Citations(since 2020)

537

Cited By

586

hIndex(all)

12

hIndex(since 2020)

11

i10Index(all)

13

i10Index(since 2020)

11

Email

University Profile Page

Google Scholar

Claudia Peersman Skills & Research Interests

Cyber Security

Computational Linguistics

Top articles of Claudia Peersman

Characterising Discourse and Engagement Across Topics of Misinformation on Twitter

IEEE Access

2023/10/13

Claudia Peersman
Claudia Peersman

H-Index: 10

Ryan Mcconville
Ryan Mcconville

H-Index: 8

Towards a Framework for Evaluating CSAM Prevention and Detection Tools in the Context of End-to-end Encryption Environments: a Case Study

2023/2

A Survey of Relevant Text Mining Technology

arXiv preprint arXiv:2211.15784

2022/11/28

REPHRAIN Map of Online harms, risks, and vulnerabilities

2022/9/3

Claudia Peersman
Claudia Peersman

H-Index: 10

Awais Rashid
Awais Rashid

H-Index: 24

Automatic User Profiling in Darknet Markets: a Scalability Study

arXiv preprint arXiv:2203.13179

2022/3/24

How darknet market users learned to worry more and love PGP: Analysis of security advice on darknet marketplaces

arXiv preprint arXiv:2203.08557

2022/3/16

Understanding motivations and characteristics of financially-motivated cybercriminals

arXiv preprint arXiv:2203.08642

2022/3/16

A Rapid Evidence Assessment of Technical Tools for the Detection and Disruption of Child Sexual Abuse Media (CSAM) and CSAM Offenders in The ASEAN Region

2022/3

Characterising cybercriminals: a review

2022/2/15

Amoc: A multifaceted machine learning-based toolkit for analysing cybercriminal communities on the darknet

2021/12/15

Tokyo, denver, helsinki, lisbon or the professor? a framework for understanding cybercriminal roles in darknet markets

2021/12/1

Claudia Peersman
Claudia Peersman

H-Index: 10

Awais Rashid
Awais Rashid

H-Index: 24

The impact of adverse events in darknet markets: an anomaly detection approach

2021/9/6

See List of Professors in Claudia Peersman University(University of Bristol)