Bart H. M. Custers
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Safety Research top 1%
- Ethics and Social Impacts of AI
Papers in
- Law 26
- Digitalization, Law, and Regulation 8
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- Ethics and Social Impacts of AI 22
- Co-authors
- S. van der Hof (12 shared papers)Bart Willem Schermer (8 shared papers)Gianclaudio Malgieri (2 shared papers)Eduard Fosch‐Villaronga (12 shared papers)Indrė Žliobaitė (1 shared paper)Toon Calders (4 shared papers)Francien Dechesne (7 shared papers)Alan Sears (8 shared papers)
- Journals
- Ethics and Information Technology (5 papers)International Data Privacy Law (3 papers)Big Data & Society (2 papers)Forensic Science International Synergy (2 papers)Nature Machine Intelligence (1 paper)
- Partner nations
- NetherlandsAustraliaNorway
In The Last Decade
Bart H. M. Custers
86 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 131
- Health Informatics 82
- Safety Research 337
- Law 166
- Sociology and Political Science 571
- Information Systems 296
Countries citing papers authored by Bart H. M. Custers
This map shows the geographic impact of Bart H. M. Custers'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 Bart H. M. Custers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bart H. M. Custers more than expected).
Fields of papers citing papers by Bart H. M. Custers
This network shows the impact of papers produced by Bart H. M. Custers. 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 Bart H. M. Custers. The network helps show where Bart H. M. Custers may publish in the future.
Co-authors
The 25 scholars most cited alongside Bart H. M. Custers, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 214 | |
| 2 | 2019 | 88 | |
| 3 | 2017 | 88 | |
| 4 | 2016 | 83 | |
| 5 | 2012 | 72 | |
| 6 | 2017 | 72 | |
| 7 | 2016 | 66 | |
| 8 | 2021 | 62 | |
| 9 | 2014 | 58 | |
| 10 | 2016 | 52 | |
| 11 | 2014 | 45 | |
| 12 | 2012 | 44 | |
| 13 | 2016 | 39 | |
| 14 | 2023 | 38 | |
| 15 | 2013 | 36 | |
| 16 | 2022 | 35 | |
| 17 | 2012 | 34 | |
| 18 | 2021 | 33 | |
| 19 | 2022 | 33 | |
| 20 | 2019 | 30 |
About Bart H. M. Custers
Bart H. M. Custers is a scholar working on Law, Safety Research, Sociology and Political Science, Artificial Intelligence and Political Science and International Relations, having authored 96 papers that have together received 1.7k indexed citations. Recurring topics across this work include Privacy, Security, and Data Protection (34 papers), Ethics and Social Impacts of AI (22 papers), Privacy-Preserving Technologies in Data (13 papers), European Criminal Justice and Data Protection (12 papers), Digitalization, Law, and Regulation (8 papers), Cybercrime and Law Enforcement Studies (8 papers), Law, AI, and Intellectual Property (7 papers) and Digital and Cyber Forensics (4 papers). The work is most often cited by research in Health Informatics (82 citations), Safety Research (337 citations), Law (166 citations), Sociology and Political Science (571 citations) and Information Systems (296 citations). Bart H. M. Custers has collaborated with scholars based in Netherlands, Australia and Norway. Frequent co-authors include S. van der Hof, Bart Willem Schermer, Gianclaudio Malgieri, Eduard Fosch‐Villaronga, Indrė Žliobaitė, Toon Calders, Francien Dechesne, Alan Sears, Tal Zarsky and Adam Poulsen. Their work appears in journals such as Ethics and Information Technology, International Data Privacy Law, Big Data & Society, Forensic Science International Synergy and Nature Machine Intelligence.
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.