David Lacey

731 citations
46 papers · 532 · h-index 16

Impact in

Papers in

David Lacey

42 papers receiving 478 citations

Peers

David Lacey
Comparison fields: 5 of 82
  • Information Systems 284
  • Public Administration 27
  • Management Information Systems 53
  • Safety Research 46
  • Information Systems and Management 35
Replace Elizabeth Lomas with:
Elizabeth Lomas United Kingdom
Paul M. Mastrangelo United States
Yves Poullet Belgium
Stephen C. Wingreen New Zealand
Steven Lockey Australia
Alex Wilner Canada
Kenneth A. Bamberger United States
Erik Schrijvers Netherlands
Pengzhu Zhang China
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Citations per field
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Citations per year

Countries citing papers authored by David Lacey

Since Specialization
Citations

This map shows the geographic impact of David Lacey'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 David Lacey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Lacey more than expected).

Fields of papers citing papers by David Lacey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Lacey. 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 David Lacey. The network helps show where David Lacey may publish in the future.

Co-authors

The 12 scholars most cited alongside David Lacey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Lacey Line = papers co-authored together David Lacey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201056
2 201255
3 197132
4 201031
5 201926
6 201525
7
Managing the Human Factor in Information Security: How to win over staff and influence business managers
201124
8 201523
9
Identity fraud in Australia: an evaluation of its nature, cost and extent
200320
10 196918
11 200417
12 201917
13 202016
14 201116
15 201115
16 201515
17 201413
18
The Role of Humiliation in the Palestinian / Israeli Conflict in Gaza
201112
19 197011
20 200711

About David Lacey

David Lacey is a scholar working on Information Systems, Sociology and Political Science, Strategy and Management, Management Information Systems and Artificial Intelligence, having authored 46 papers that have together received 532 indexed citations. Recurring topics across this work include Cybercrime and Law Enforcement Studies (17 papers), Crime, Illicit Activities, and Governance (9 papers), Information and Cyber Security (9 papers), Crime Patterns and Interventions (8 papers), Spam and Phishing Detection (5 papers), Accounting and Organizational Management (3 papers), Imbalanced Data Classification Techniques (3 papers) and Supply Chain Resilience and Risk Management (3 papers). The work is most often cited by research in Information Systems (284 citations), Public Administration (27 citations), Management Information Systems (53 citations), Safety Research (46 citations) and Information Systems and Management (35 citations). David Lacey has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Suresh Cuganesan, Sigi Goode, Paul M. Salmon, W. Bruce Walsh, Kerry Jacobs, Neville A. Stanton, Ben R. Lane, Adrian Cherney, Don Kerr and K. Suzanne Barber. Their work appears in journals such as Journal of Vocational Behavior, Journal of Counseling Psychology, Journal of the Association for Information Systems, Journal of Consumer Affairs and Public Administration.

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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