Mike Perkins

1.8k total citations · 1 hit paper
26 papers, 861 citations indexed

About

Mike Perkins is a scholar working on Health Informatics, Safety Research and Artificial Intelligence. According to data from OpenAlex, Mike Perkins has authored 26 papers receiving a total of 861 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Health Informatics, 8 papers in Safety Research and 5 papers in Artificial Intelligence. Recurrent topics in Mike Perkins's work include Artificial Intelligence in Healthcare and Education (9 papers), Academic integrity and plagiarism (8 papers) and Online Learning and Analytics (3 papers). Mike Perkins is often cited by papers focused on Artificial Intelligence in Healthcare and Education (9 papers), Academic integrity and plagiarism (8 papers) and Online Learning and Analytics (3 papers). Mike Perkins collaborates with scholars based in Singapore, United Kingdom and Australia. Mike Perkins's co-authors include Jasper Roe, Jason MacVaugh, Minsoo Kim, Keith Johnson, Wei Lu, Souryadeep Bhattacharyya, Sonja Bjelobaba, Lorna Waddington, Debora Weber-Wulff and Abhishek Bhati and has published in prestigious journals such as Higher Education Research & Development, ELT Journal and Public Management Review.

In The Last Decade

Mike Perkins

24 papers receiving 804 citations

Hit Papers

Academic Integrity considerations of AI Large Language Mo... 2023 2026 2024 2025 2023 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mike Perkins Singapore 13 379 262 236 178 86 26 861
Asanka Gunasekara Australia 9 213 0.6× 203 0.8× 82 0.3× 154 0.9× 76 0.9× 21 675
Jessica L. Pallant Australia 6 212 0.6× 208 0.8× 81 0.3× 157 0.9× 51 0.6× 9 721
Boulus Shehata China 6 567 1.5× 483 1.8× 133 0.6× 322 1.8× 105 1.2× 12 1.1k
Somipam R. Shimray India 6 281 0.7× 233 0.9× 105 0.4× 79 0.4× 28 0.3× 27 562
Samson Tan Australia 4 734 1.9× 552 2.1× 149 0.6× 370 2.1× 117 1.4× 4 1.3k
Shannon Tan Australia 8 741 2.0× 562 2.1× 154 0.7× 389 2.2× 164 1.9× 24 1.4k
Emre Kazim United Kingdom 14 149 0.4× 226 0.9× 295 1.3× 110 0.6× 42 0.5× 47 673
Ştefan Popenici Australia 8 225 0.6× 306 1.2× 78 0.3× 430 2.4× 239 2.8× 17 1.0k
Mohammadreza Farrokhnia Netherlands 11 345 0.9× 300 1.1× 58 0.2× 370 2.1× 339 3.9× 20 1.2k
Kimkong Heng Cambodia 9 185 0.5× 134 0.5× 34 0.1× 111 0.6× 137 1.6× 38 634

Countries citing papers authored by Mike Perkins

Since Specialization
Citations

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

Fields of papers citing papers by Mike Perkins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mike Perkins

This figure shows the co-authorship network connecting the top 25 collaborators of Mike Perkins. A scholar is included among the top collaborators of Mike Perkins 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 Mike Perkins. Mike Perkins 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
1.
Roe, Jasper, et al.. (2025). Applying the AI assessment scale in writing and translation for EFL. 2(2). 59–74.
2.
Perkins, Mike, et al.. (2025). Reimagining the Artificial Intelligence Assessment Scale: A refined framework for educational assessment. Journal of University Teaching and Learning Practice. 22(7). 2 indexed citations
3.
Roe, Jasper & Mike Perkins. (2025). Generative AI in Self-Directed Learning: a thematic scoping review. Interactive Learning Environments. 1–12.
4.
Bjelobaba, Sonja, Lorna Waddington, Mike Perkins, et al.. (2025). Maintaining research integrity in the age of GenAI: an analysis of ethical challenges and recommendations to researchers. International Journal for Educational Integrity. 21(1). 3 indexed citations
5.
Perkins, Mike, et al.. (2024). The Artificial Intelligence Assessment Scale (AIAS): A Framework for Ethical Integration of Generative AI in Educational Assessment. Journal of University Teaching and Learning Practice. 21(6). 46 indexed citations
6.
Perkins, Mike, et al.. (2024). Shifting oversight: the evolution of modern police performance management in England and Wales. Public Management Review. 27(12). 2861–2881. 2 indexed citations
7.
Roe, Jasper, et al.. (2024). Deepfakes and Higher Education: A Research Agenda and Scoping Review of Synthetic Media. Journal of University Teaching and Learning Practice. 21(10). 8 indexed citations
8.
Perkins, Mike, et al.. (2024). The AI Assessment Scale (AIAS) in action: A pilot implementation of GenAI-supported assessment. Australasian Journal of Educational Technology. 15 indexed citations
10.
Perkins, Mike, et al.. (2024). Simple techniques to bypass GenAI text detectors: implications for inclusive education. International Journal of Educational Technology in Higher Education. 21(1). 21 indexed citations
11.
Roe, Jasper & Mike Perkins. (2024). Generative AI in Self-Directed Learning: A Scoping Review. arXiv (Cornell University). 4 indexed citations
12.
Roe, Jasper & Mike Perkins. (2023). ‘What they’re not telling you about ChatGPT’: exploring the discourse of AI in UK news media headlines. Humanities and Social Sciences Communications. 10(1). 41 indexed citations
13.
Roe, Jasper & Mike Perkins. (2023). Welcome to the University of life, can I take your order? Investigating Life Experience Degree Offerings in Diploma mills. International Journal for Educational Integrity. 19(1). 2 indexed citations
14.
Perkins, Mike. (2023). Academic Integrity considerations of AI Large Language Models in the post-pandemic era: ChatGPT and beyond. Journal of University Teaching and Learning Practice. 20(2). 379 indexed citations breakdown →
15.
Perkins, Mike & Jasper Roe. (2023). Decoding Academic Integrity Policies: A Corpus Linguistics Investigation of AI and Other Technological Threats. Higher Education Policy. 37(3). 633–653. 45 indexed citations
16.
Perkins, Mike, et al.. (2023). Detection of GPT-4 Generated Text in Higher Education: Combining Academic Judgement and Software to Identify Generative AI Tool Misuse. Journal of Academic Ethics. 22(1). 89–113. 68 indexed citations
17.
Perkins, Mike, et al.. (2020). Reducing plagiarism through academic misconduct education. International Journal for Educational Integrity. 16(1). 73 indexed citations
18.
Perkins, Mike, et al.. (2018). Understanding the Relationship between Language Ability and Plagiarism in Non-native English Speaking Business Students. Journal of Academic Ethics. 16(4). 317–328. 19 indexed citations
19.
Perkins, Mike, et al.. (2014). What do we really mean by “Balanced Scorecard”?. International Journal of Productivity and Performance Management. 63(2). 148–169. 49 indexed citations
20.
Johnson, Keith, et al.. (2006). A step forward: investigating expertise in materials evaluation. ELT Journal. 62(2). 157–163. 15 indexed citations

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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