Claudia Peersman

671 total citations
18 papers, 340 citations indexed

About

Claudia Peersman is a scholar working on Information Systems, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Claudia Peersman has authored 18 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Information Systems, 11 papers in Artificial Intelligence and 4 papers in Sociology and Political Science. Recurrent topics in Claudia Peersman's work include Cybercrime and Law Enforcement Studies (10 papers), Spam and Phishing Detection (9 papers) and Authorship Attribution and Profiling (6 papers). Claudia Peersman is often cited by papers focused on Cybercrime and Law Enforcement Studies (10 papers), Spam and Phishing Detection (9 papers) and Authorship Attribution and Profiling (6 papers). Claudia Peersman collaborates with scholars based in United Kingdom, Belgium and Ireland. Claudia Peersman's co-authors include Walter Daelemans, Awais Rashid, Matthew Edwards, Christian Schulze, Carl Fischer, Andrew Martin, Makayla Lewis, Howard Chivers, Kim Luyckx and Emil Lupu and has published in prestigious journals such as IEEE Access, Language Resources and Evaluation and IEEE Security & Privacy.

In The Last Decade

Claudia Peersman

17 papers receiving 310 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Claudia Peersman United Kingdom	9	195	193	67	47	26	18	340
Arianna D’Ulizia Italy	10	68 0.3×	128 0.7×	67 1.0×	31 0.7×	19 0.7×	38	261
David Fernandes Brazil	10	102 0.5×	103 0.5×	33 0.5×	27 0.6×	18 0.7×	19	277
Thomas White United States	6	321 1.6×	112 0.6×	41 0.6×	36 0.8×	18 0.7×	36	484
Mark P. Graus Netherlands	8	162 0.8×	68 0.4×	79 1.2×	38 0.8×	16 0.6×	13	295
Marco Polignano Italy	12	184 0.9×	415 2.2×	51 0.8×	50 1.1×	11 0.4×	52	552
Alfan Farizki Wicaksono Indonesia	12	149 0.8×	295 1.5×	40 0.6×	14 0.3×	16 0.6×	33	383
Georg Rehm Germany	12	166 0.9×	395 2.0×	119 1.8×	30 0.6×	14 0.5×	95	527
Noemi Mauro Italy	9	177 0.9×	135 0.7×	56 0.8×	30 0.6×	13 0.5×	38	290
Ke Zhou United Kingdom	11	231 1.2×	137 0.7×	77 1.1×	10 0.2×	17 0.7×	42	425
Katia Lida Kermanidis Greece	11	120 0.6×	203 1.1×	88 1.3×	39 0.8×	7 0.3×	64	411

Countries citing papers authored by Claudia Peersman

Since Specialization

Citations

This map shows the geographic impact of Claudia Peersman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Claudia Peersman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudia Peersman more than expected).

Fields of papers citing papers by Claudia Peersman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Claudia Peersman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Claudia Peersman. The network helps show where Claudia Peersman may publish in the future.

Co-authorship network of co-authors of Claudia Peersman

This figure shows the co-authorship network connecting the top 25 collaborators of Claudia Peersman. A scholar is included among the top collaborators of Claudia Peersman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Claudia Peersman. Claudia Peersman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

Tahaei, Mohammad, et al.. (2024). Community Security Champions: Studying the Most Influential Users on Security Stack Exchange. Bristol Research (University of Bristol). 93–104.

Peersman, Claudia, et al.. (2023). Characterizing Discourse and Engagement Across Topics of Misinformation on Twitter. IEEE Access. 11. 115002–115010. 1 indexed citations

Edwards, Matthew, Emma Williams, Claudia Peersman, & Awais Rashid. (2022). Characterising Cybercriminals: A Review. arXiv (Cornell University). 7 indexed citations

Peersman, Claudia, et al.. (2021). Tokyo, Denver, Helsinki, Lisbon or the Professor? A Framework for Understanding Cybercriminal Roles in Darknet Markets. Explore Bristol Research. 1–12. 3 indexed citations

Chen, Chao, et al.. (2021). AMoC: A Multifaceted Machine Learning-based Toolkit for Analysing Cybercriminal Communities on the Darknet. 2021 IEEE International Conference on Big Data (Big Data). 2516–2524. 2 indexed citations

Peersman, Claudia, et al.. (2021). The Impact of Adverse Events in Darknet Markets: an Anomaly Detection Approach. Bristol Research (University of Bristol). 227–238. 5 indexed citations

Edwards, Matthew, Guillermo Suárez‐Tangil, Claudia Peersman, et al.. (2018). The Geography of Online Dating Fraud. Research Portal (King's College London). 9 indexed citations

Pasquale, Liliana, Dalal Alrajeh, Claudia Peersman, et al.. (2018). Towards forensic-ready software systems. Bristol Research (University of Bristol). 9–12. 12 indexed citations

Rashid, Awais, George Danezis, Howard Chivers, et al.. (2018). Scoping the Cyber Security Body of Knowledge. IEEE Security & Privacy. 16(3). 96–102. 40 indexed citations

10.

Edwards, Matthew, Claudia Peersman, & Awais Rashid. (2017). Scamming the Scammers. Lancaster EPrints (Lancaster University). 1291–1299. 13 indexed citations

11.

Whitty, Monica T., Matthew Edwards, Michael Levi, et al.. (2017). Ethical and Social Challenges with developing Automated Methods to Detect and Warn potential victims of Mass-marketing Fraud (MMF). ORCA Online Research @Cardiff (Cardiff University). 1311–1314. 2 indexed citations

12.

Peersman, Claudia, et al.. (2016). iCOP: Live forensics to reveal previously unknown criminal media on P2P networks. Digital Investigation. 18. 50–64. 22 indexed citations

13.

Peersman, Claudia, et al.. (2014). iCOP: Automatically Identifying New Child Abuse Media in P2P Networks. PEARL (University of Plymouth). 124–131. 18 indexed citations

14.

Kestemont, Mike, Claudia Peersman, Guy De Pauw, et al.. (2012). The Netlog Corpus. A Resource for the Study of Flemish Dutch Internet Language. Language Resources and Evaluation. 1569–1572. 5 indexed citations

15.

Peersman, Claudia, et al.. (2012). Conversation Level Constraints on Pedophile Detection in Chat Rooms. Bristol Research (University of Bristol). 1–13. 16 indexed citations

16.

Luyckx, Kim, et al.. (2012). Fine-Grained Emotion Detection in Suicide Notes: A Thresholding Approach to Multi-Label Classification. PubMed. 5s1(Suppl. 1). BII.S8966–BII.S8966. 20 indexed citations

17.

Peersman, Claudia, et al.. (2011). Predicting age and gender in online social networks. Explore Bristol Research. 37–44. 163 indexed citations

18.

Hoste, Véronique, et al.. (2009). ABOP, automatic optimization of patient information leaflets. Ghent University Academic Bibliography (Ghent University). 74–81. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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