Harm van Beek
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
- Information Systems top 5%
- Digital and Cyber Forensics
- Cybercrime and Law Enforcement Studies
- Service-Oriented Architecture and Web Services
- Cloud Data Security Solutions
Papers in
-
- Digital and Cyber Forensics 8
- Service-Oriented Architecture and Web Services 2
-
- Semantic Web and Ontologies 2
- Co-authors
- Sean Barnum (2 shared papers)Eoghan Casey (2 shared papers)Alex Nelson (2 shared papers)Sjouke Mauw (4 shared papers)J. C. M. Baeten (2 shared papers)R.A.F. Bhoedjang (1 shared paper)Marko van Eekelen (1 shared paper)Hugo Jonker (1 shared paper)
- Journals
- Digital Investigation (4 papers)Forensic Science International Digital Investigation (1 paper)Science & Justice (1 paper)Lecture notes in computer science (2 papers)TU/e Research Portal (1 paper)
- Partner nations
- NetherlandsSwitzerlandUnited States
In The Last Decade
Harm van Beek
14 papers receiving 233 citations
Peers
Comparison fields: 5 of 33
- Signal Processing 132
- Information Systems 232
- Computer Vision and Pattern Recognition 103
- Software 14
- Artificial Intelligence 58
Countries citing papers authored by Harm van Beek
This map shows the geographic impact of Harm van Beek'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 Harm van Beek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harm van Beek more than expected).
Fields of papers citing papers by Harm van Beek
This network shows the impact of papers produced by Harm van Beek. 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 Harm van Beek. The network helps show where Harm van Beek may publish in the future.
Co-authors
The 10 scholars most cited alongside Harm van Beek, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 72 | |
| 2 | 2015 | 50 | |
| 3 | 2017 | 42 | |
| 4 | 2020 | 26 | |
| 5 | 2012 | 23 | |
| 6 | Specification and analysis of Internet applications | 2005 | 18 |
| 7 | 2001 | 10 | |
| 8 | 2018 | 8 | |
| 9 | 2018 | 5 | |
| 10 | 2004 | 4 | |
| 11 | 2001 | 3 | |
| 12 | 2019 | 3 | |
| 13 | Internet Protocols for Distributed Consensus - The DiCons language | 2000 | 2 |
| 14 | Automatic Conformance Testing of Internet Applications | 2003 | 1 |
| 15 | 2025 | 0 |
About Harm van Beek
Harm van Beek is a scholar working on Information Systems, Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 15 papers that have together received 267 indexed citations. Recurring topics across this work include Digital and Cyber Forensics (8 papers), Advanced Malware Detection Techniques (4 papers), Hermeneutics and Narrative Identity (2 papers), Software System Performance and Reliability (2 papers), Service-Oriented Architecture and Web Services (2 papers), Semantic Web and Ontologies (2 papers), Scientific Computing and Data Management (2 papers) and Aging, Elder Care, and Social Issues (2 papers). The work is most often cited by research in Signal Processing (132 citations), Information Systems (232 citations), Computer Vision and Pattern Recognition (103 citations), Software (14 citations) and Artificial Intelligence (58 citations). Harm van Beek has collaborated with scholars based in Netherlands, Switzerland and United States. Frequent co-authors include Sean Barnum, Eoghan Casey, Alex Nelson, Sjouke Mauw, J. C. M. Baeten, R.A.F. Bhoedjang, Marko van Eekelen, Hugo Jonker, Frank Breitinger and Mark Scanlon. Their work appears in journals such as Digital Investigation, Forensic Science International Digital Investigation, Science & Justice, Lecture notes in computer science and TU/e Research Portal.
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.