Morgan E. Currie

31 papers receiving 432 citations

Morgan E. Currie's Hit Papers

AI in the Public Eye: Investigating Public AI Literacy Through AI Art 2023 · 31 citations
310+1+2Years since publication102030

Peers

Morgan E. Currie
Comparison fields: 5 of 78
  • Safety Research 139
  • Human-Computer Interaction 44
  • Media Technology 40
  • Communication 39
  • Computer Science Applications 21
Replace Britt S. Paris with:
Britt S. Paris United States
Roderic N. Crooks United States
Seyram Avle United States
Nanna Bonde Thylstrup Denmark
Rosemary Lucy Hill United Kingdom
Kristen Moore United States
Samuel Kinsley United Kingdom
Cecelia Bridget Merkel United States
Melisa Duque Australia
Nora A. Draper United States
Morgan E. Currie relative to Britt S. Paris United States Britt S. Paris's profile →
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Britt S. Paris · 1×
Citations per year

Countries citing papers authored by Morgan E. Currie

Since Specialization
Citations

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

Fields of papers citing papers by Morgan E. Currie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Morgan E. Currie. 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 Morgan E. Currie. The network helps show where Morgan E. Currie may publish in the future.

Co-authors

The 16 scholars most cited alongside Morgan E. Currie, 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 Morgan E. Currie Line = papers co-authored together Morgan E. Currie links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202192
2 201480
3 201671
4 202170
5
AI in the Public Eye: Investigating Public AI Literacy Through AI Art
Hit paper breakdown →
202331
6 202024
7 201514
8 201812
9 20189
10 20249
11 20128
12 20217
13 20166
14 20225
15 20214
16
Police Officer-Involved Homicide Database Project
20153
17 20183
18 20233
19 20152
20 20192

About Morgan E. Currie

Morgan E. Currie is a scholar working on Safety Research, Computer Science Applications, Urban Studies, Communication and Conservation, having authored 37 papers that have together received 471 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (10 papers), History of Computing Technologies (4 papers), Data Analysis and Archiving (4 papers), Policing Practices and Perceptions (3 papers), E-Government and Public Services (3 papers), Research Data Management Practices (3 papers), Digital and Traditional Archives Management (3 papers) and Web Data Mining and Analysis (2 papers). The work is most often cited by research in Safety Research (139 citations), Human-Computer Interaction (44 citations), Media Technology (40 citations), Communication (39 citations) and Computer Science Applications (21 citations). Morgan E. Currie has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Roderic N. Crooks, Britt S. Paris, Irene V. Pasquetto, Christopher Kelty, Aaron L. Panofsky, Joan Donovan, Matjaž Vidmar, Robin L. Hill, Hayley P. Bennett and Drew Hemment. Their work appears in journals such as Big Data & Society, Journal of Social Policy, Science & Technology Studies, First Monday and Online Information Review.

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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