Lisa M. Austin

481 citations
39 papers · 169 indexed · h-index 8
Topics
Privacy, Security, and Data Protection (14 papers)Criminal Law and Evidence (6 papers)Legal principles and applications (5 papers)

In The Last Decade

Lisa M. Austin

35 papers receiving 147 citations

Peers

Lisa M. Austin
Comparison fields: 5 of 70
  • Sociology and Political Science 68
  • Law 44
  • Information Systems 29
  • Artificial Intelligence 25
  • Political Science and International Relations 24
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Citations per field
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Citations per year

Countries citing papers authored by Lisa M. Austin

Since Specialization
Citations

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

Fields of papers citing papers by Lisa M. Austin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lisa M. Austin. 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 Lisa M. Austin. The network helps show where Lisa M. Austin may publish in the future.

Co-authorship network of co-authors of Lisa M. Austin

This figure shows the co-authorship network connecting the top 25 collaborators of Lisa M. Austin. A scholar is included among the top collaborators of Lisa M. Austin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lisa M. Austin. Lisa M. Austin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 2
3 3
4 7
5 15
6
A Large Scale Study of User Behavior, Expectations and Engagement with Android Permissions
7
7 4
8
Safe Sharing Sites
1
9 6
10 1
11 0
12 0
13 1
14 2
15
What’s In a Name? Privacy and Citizenship in the Voluntary Disclosure of Subscriber Information in Online Child Exploitation Investigations
3
16
The End of Individual Control over Health Information: Promoting Fair Information Practices and the Governance of Biobank Research
1
17
Privacy, Consent, and Governance
5
18
Reviewing PIPEDA: Control, Privacy and the Limits of Fair Information Practices
6
19
One Step Forward or Two Steps Back? R. v. Tessling and the Privacy Consequences for Information Held by Third Parties
1
20
The Challenges of Regulating the Use of Genetic Information
5

About Lisa M. Austin

Lisa M. Austin is a scholar working on Law, Sociology and Political Science and Political Science and International Relations, having authored 39 papers that have together received 169 indexed citations. Recurring topics across this work include Privacy, Security, and Data Protection (14 papers), Criminal Law and Evidence (6 papers) and Legal principles and applications (5 papers). The work is most often cited by research in Law (44 citations), Safety Research (14 citations) and Sociology and Political Science (68 citations). Lisa M. Austin has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include David Lie, Andrea Slane, Matthew L. Albert, Robert B. Darnell, Trudo Lemmens, Michael J. Trebilcock, Abbie Jordan, Beth Coleman, Hannah Connell and Nina Taft. Their work appears in journals such as Annals of Neurology, BMC Pediatrics and Annual Review of Law and Social Science.

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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