Claudia Peersman
- Information Systems top 5%
- Artificial Intelligence top 10%
- Sociology and Political Science
- Signal Processing top 10%
- Human-Computer Interaction top 10%
- Co-authors
- Walter DaelemansAwais RashidMatthew EdwardsCarl FischerChristian SchulzeKim LuyckxMakayla LewisEmil Lupu
- Topics
- Cybercrime and Law Enforcement Studies (10 papers)Spam and Phishing Detection (9 papers)Authorship Attribution and Profiling (6 papers)
- Partner nations
- United KingdomBelgiumIreland
In The Last Decade
Claudia Peersman
17 papers receiving 310 citations
Peers
Comparison fields: 5 of 51
- Information Systems 195
- Artificial Intelligence 193
- Sociology and Political Science 67
- Signal Processing 47
- Human-Computer Interaction 26
Countries citing papers authored by Claudia Peersman
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | The Geography of Online Dating Fraud | 9 |
| 8 | 12 | |
| 9 | 40 | |
| 10 | 13 | |
| 11 | 2 | |
| 12 | 22 | |
| 13 | 18 | |
| 14 | Conversation Level Constraints on Pedophile Detection in Chat Rooms | 16 |
| 15 | The Netlog Corpus. A Resource for the Study of Flemish Dutch Internet Language | 5 |
| 16 | 20 | |
| 17 | 163 | |
| 18 | ABOP, automatic optimization of patient information leaflets | 2 |
About Claudia Peersman
Claudia Peersman is a scholar working on Information Systems, Human-Computer Interaction and Artificial Intelligence, having authored 18 papers that have together received 340 indexed citations. Recurring topics across this work include Cybercrime and Law Enforcement Studies (10 papers), Spam and Phishing Detection (9 papers) and Authorship Attribution and Profiling (6 papers). The work is most often cited by research in Information Systems (195 citations), Artificial Intelligence (193 citations) and Human-Computer Interaction (26 citations). Claudia Peersman has collaborated with scholars based in United Kingdom, Belgium and Ireland. Frequent co-authors include Walter Daelemans, Awais Rashid, Matthew Edwards, Carl Fischer, Christian Schulze, Kim Luyckx, Makayla Lewis, Emil Lupu, George Danezis and Howard Chivers. Their work appears in journals such as IEEE Access, Language Resources and Evaluation and IEEE Security & Privacy.
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.