Magdalene Ng
Impact in
- Safety Research top 10%
- Ethics and Social Impacts of AI
Papers in
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- Deception detection and forensic psychology 2
- Attachment and Relationship Dynamics 1
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- FinTech, Crowdfunding, Digital Finance 3
- Co-authors
- Kovila Coopamootoo (5 shared papers)Aad van Moorsel (4 shared papers)Karen Elliott (3 shared papers)Tasos Spiliotopoulos (2 shared papers)Gavin Oxburgh (1 shared paper)Kirk Luther (1 shared paper)Lorraine Hope (1 shared paper)Fiona Gabbert (1 shared paper)
- Journals
- Journal of Police and Criminal Psychology (1 paper)Society (1 paper)Applied Cognitive Psychology (1 paper)Technology in Society (1 paper)Forensic Science International Digital Investigation (1 paper)
- Partner nations
- United KingdomMalaysiaIreland
In The Last Decade
Magdalene Ng
8 papers receiving 216 citations
Peers
Comparison fields: 5 of 55
- Health Informatics 6
- Safety Research 33
- Information Systems and Management 23
- Social Psychology 64
- Marketing 24
Countries citing papers authored by Magdalene Ng
This map shows the geographic impact of Magdalene Ng'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 Magdalene Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Magdalene Ng more than expected).
Fields of papers citing papers by Magdalene Ng
This network shows the impact of papers produced by Magdalene Ng. 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 Magdalene Ng. The network helps show where Magdalene Ng may publish in the future.
Co-authors
The 20 scholars most cited alongside Magdalene Ng, 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 | 2021 | 79 | |
| 2 | 2020 | 73 | |
| 3 | 2020 | 46 | |
| 4 | 2021 | 21 | |
| 5 | 2022 | 5 | |
| 6 | 2021 | 3 | |
| 7 | 2024 | 1 | |
| 8 | 2022 | 1 | |
| 9 | 2025 | 0 |
About Magdalene Ng
Magdalene Ng is a scholar working on Social Psychology, Management Information Systems, Sociology and Political Science, Information Systems and Clinical Psychology, having authored 9 papers that have together received 229 indexed citations. Recurring topics across this work include FinTech, Crowdfunding, Digital Finance (3 papers), Cybercrime and Law Enforcement Studies (2 papers), Deception detection and forensic psychology (2 papers), Ethics and Social Impacts of AI (2 papers), Psychopathy, Forensic Psychiatry, Sexual Offending (2 papers), Attachment and Relationship Dynamics (1 paper), Housing, Finance, and Neoliberalism (1 paper) and Knowledge Management and Sharing (1 paper). The work is most often cited by research in Health Informatics (6 citations), Safety Research (33 citations), Information Systems and Management (23 citations), Social Psychology (64 citations) and Marketing (24 citations). Magdalene Ng has collaborated with scholars based in United Kingdom, Malaysia and Ireland. Frequent co-authors include Kovila Coopamootoo, Aad van Moorsel, Karen Elliott, Tasos Spiliotopoulos, Gavin Oxburgh, Kirk Luther, Lorraine Hope, Fiona Gabbert, Gordon Wright and Rob Price. Their work appears in journals such as Journal of Police and Criminal Psychology, Society, Applied Cognitive Psychology, Technology in Society and Forensic Science International Digital Investigation.
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.