John M. Blythe

552 total citations
13 papers, 322 citations indexed

About

John M. Blythe is a scholar working on Sociology and Political Science, Information Systems and Marketing. According to data from OpenAlex, John M. Blythe has authored 13 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Sociology and Political Science, 7 papers in Information Systems and 3 papers in Marketing. Recurrent topics in John M. Blythe's work include Privacy, Security, and Data Protection (8 papers), Cybercrime and Law Enforcement Studies (6 papers) and Information and Cyber Security (6 papers). John M. Blythe is often cited by papers focused on Privacy, Security, and Data Protection (8 papers), Cybercrime and Law Enforcement Studies (6 papers) and Information and Cyber Security (6 papers). John M. Blythe collaborates with scholars based in United Kingdom and Australia. John M. Blythe's co-authors include Shane D. Johnson, Lynne Coventry, Pam Briggs, Matthew Manning, Linda Little, Mark Moss, Elizabeth Sillence, Gabriel T. W. Wong, Debora Jeske and Minh Tran and has published in prestigious journals such as PLoS ONE, Computers in Human Behavior and Frontiers in Psychology.

In The Last Decade

John M. Blythe

12 papers receiving 300 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John M. Blythe United Kingdom 11 153 147 60 46 31 13 322
Remo Manuel Frey Switzerland 10 114 0.7× 151 1.0× 40 0.7× 36 0.8× 86 2.8× 16 330
Mahdi Nasrullah Al-Ameen United States 12 192 1.3× 146 1.0× 29 0.5× 38 0.8× 27 0.9× 54 408
Pardis Emami-Naeini United States 9 99 0.6× 262 1.8× 28 0.5× 98 2.1× 50 1.6× 14 379
Alisa Frik United States 9 100 0.7× 215 1.5× 15 0.3× 90 2.0× 33 1.1× 21 374
Sanchari Das United States 12 211 1.4× 172 1.2× 70 1.2× 79 1.7× 14 0.5× 99 507
Nathan Malkin United States 10 189 1.2× 267 1.8× 29 0.5× 127 2.8× 52 1.7× 20 468
Tajinder Singh India 7 150 1.0× 177 1.2× 30 0.5× 147 3.2× 23 0.7× 15 456
Camille Cobb United States 9 116 0.8× 176 1.2× 18 0.3× 42 0.9× 12 0.4× 16 284
Leonardo Horn Iwaya Sweden 11 101 0.7× 90 0.6× 61 1.0× 65 1.4× 19 0.6× 25 315
Frank Cornelissen Netherlands 11 79 0.5× 131 0.9× 37 0.6× 89 1.9× 48 1.5× 43 474

Countries citing papers authored by John M. Blythe

Since Specialization
Citations

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

Fields of papers citing papers by John M. Blythe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John M. Blythe

This figure shows the co-authorship network connecting the top 25 collaborators of John M. Blythe. A scholar is included among the top collaborators of John M. Blythe 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 John M. Blythe. John M. Blythe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Blythe, John M., Richard D. Brown, & Lynne Coventry. (2022). The Workplace Information Sensitivity Appraisal (WISA) scale. Computers in Human Behavior Reports. 8. 100240–100240.
2.
Johnson, Shane D., John M. Blythe, Matthew Manning, & Gabriel T. W. Wong. (2020). The impact of IoT security labelling on consumer product choice and willingness to pay. PLoS ONE. 15(1). e0227800–e0227800. 33 indexed citations
3.
Blythe, John M., Shane D. Johnson, & Matthew Manning. (2020). What is security worth to consumers? Investigating willingness to pay for secure Internet of Things devices. Crime Science. 9(1). 21 indexed citations
4.
Sillence, Elizabeth, John M. Blythe, Pam Briggs, & Mark Moss. (2019). A Revised Model of Trust in Internet-Based Health Information and Advice: Cross-Sectional Questionnaire Study. Journal of Medical Internet Research. 21(11). e11125–e11125. 38 indexed citations
5.
Blythe, John M. & Shane D. Johnson. (2019). A systematic review of crime facilitated by the consumer Internet of Things. Security Journal. 34(1). 97–125. 35 indexed citations
7.
Blythe, John M. & Lynne Coventry. (2018). Costly but effective: Comparing the factors that influence employee anti-malware behaviours. Computers in Human Behavior. 87. 87–97. 43 indexed citations
9.
Coventry, Lynne, et al.. (2016). Personality and Social Framing in Privacy Decision-Making: A Study on Cookie Acceptance. Frontiers in Psychology. 7. 1341–1341. 28 indexed citations
10.
Blythe, John M., Lynne Coventry, & Linda Little. (2015). Unpacking Security Policy Compliance: The Motivators and Barriers of Employees’ Security Behaviors. Symposium On Usable Privacy and Security. 103–122. 35 indexed citations
11.
Coventry, Lynne, Pam Briggs, John M. Blythe, & Minh Tran. (2014). Using behavioural insights to improve the public’ s use of cyber security best practices. Northumbria Research Link (Northumbria University). 21 indexed citations
12.
Blythe, John M.. (2013). Cyber security in the workplace: Understanding and promoting behaviour change. 1065. 92–101. 12 indexed citations
13.
Blythe, John M.. (2006). Computer-Based Phonological Skills Training for Primary Students with Mild to Moderate Dyslexia--A Pilot Study.. 6. 39–49. 7 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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