Monique Mann

1.1k citations
44 papers · 508 · h-index 14

Impact in

Papers in

    • Privacy, Security, and Data Protection 13
    • Crime, Illicit Activities, and Governance 5
    • Crime Patterns and Interventions 4
    • Cybercrime and Law Enforcement Studies 9
    • COVID-19 Digital Contact Tracing 6

Monique Mann

43 papers receiving 487 citations

Peers

Monique Mann
Comparison fields: 5 of 88
  • Safety Research 118
  • Health Informatics 10
  • Media Technology 59
  • Human-Computer Interaction 27
  • Sociology and Political Science 206
Replace Jason Schultz with:
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Citations per field
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Citations per year

Countries citing papers authored by Monique Mann

Since Specialization
Citations

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

Fields of papers citing papers by Monique Mann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Monique Mann, 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 Monique Mann Line = papers co-authored together Monique Mann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201959
2 202055
3 201850
4 202141
5
Artificial Intelligence Governance and Ethics : Global Perspectives
201926
6 202219
7 202019
8 202218
9 202218
10 201817
11 201816
12 202014
13 201913
14
A capitalocentric review of technology for sustainable development: The Case for more-than-human design
202013
15
Evaluation of the Australian cybercrime online reporting network
201612
16 202011
17 20249
18
Good data (Theory on Demand #29)
20199
19 20208
20 20228

About Monique Mann

Monique Mann is a scholar working on Sociology and Political Science, Information Systems, Safety Research, Artificial Intelligence and Political Science and International Relations, having authored 44 papers that have together received 508 indexed citations. Recurring topics across this work include Privacy, Security, and Data Protection (13 papers), Ethics and Social Impacts of AI (9 papers), Cybercrime and Law Enforcement Studies (9 papers), COVID-19 Digital Contact Tracing (6 papers), Crime, Illicit Activities, and Governance (5 papers), Hate Speech and Cyberbullying Detection (4 papers), Wildlife Conservation and Criminology Analyses (4 papers) and Crime Patterns and Interventions (4 papers). The work is most often cited by research in Safety Research (118 citations), Health Informatics (10 citations), Media Technology (59 citations), Human-Computer Interaction (27 citations) and Sociology and Political Science (206 citations). Monique Mann has collaborated with scholars based in Australia, United Kingdom and Netherlands. Frequent co-authors include Angela Daly, Tobias Matzner, Marcus Foth, Peta Mitchell, Ian Warren, Marcus Smith, Reece Walters, Diarmaid Harkin, Nicolas Suzor and Thilo Hagendorff. Their work appears in journals such as Internet Policy Review, International Journal for Crime Justice and Social Democracy, New Media & Society, Policing & Society and Global Crime.

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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