David Johnstone

1.0k total citations
37 papers, 588 citations indexed

About

David Johnstone is a scholar working on Sociology and Political Science, Information Systems and Management and Computer Science Applications. According to data from OpenAlex, David Johnstone has authored 37 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Sociology and Political Science, 8 papers in Information Systems and Management and 8 papers in Computer Science Applications. Recurrent topics in David Johnstone's work include Open Source Software Innovations (8 papers), Information Systems Theories and Implementation (7 papers) and Technology Adoption and User Behaviour (6 papers). David Johnstone is often cited by papers focused on Open Source Software Innovations (8 papers), Information Systems Theories and Implementation (7 papers) and Technology Adoption and User Behaviour (6 papers). David Johnstone collaborates with scholars based in New Zealand, Australia and Vietnam. David Johnstone's co-authors include Mary Tate, Allan Sylvester, Alireza Nili, Spyros Kitsiou, Guy Paré, Nguyen Hoang Thuan, Pedro Antunes, Alistair Barros, Louise Starkey and Donald J. Patterson and has published in prestigious journals such as International Journal of Information Management, Journal of the Association for Information Systems and European Journal of Information Systems.

In The Last Decade

David Johnstone

33 papers receiving 540 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Johnstone New Zealand 11 144 116 102 87 61 37 588
Jenine Beekhuyzen Australia 13 186 1.3× 121 1.0× 85 0.8× 71 0.8× 82 1.3× 57 678
Gábor Kismihók Netherlands 13 105 0.7× 125 1.1× 43 0.4× 103 1.2× 38 0.6× 35 722
Murtaza Ashiq Pakistan 18 97 0.7× 254 2.2× 99 1.0× 61 0.7× 135 2.2× 55 868
Polyxeni Vassilakopoulou Norway 14 165 1.1× 110 0.9× 174 1.7× 28 0.3× 83 1.4× 52 736
Mark E. McMurtrey United States 11 85 0.6× 203 1.8× 128 1.3× 55 0.6× 121 2.0× 35 678
František Sudzina Denmark 13 100 0.7× 107 0.9× 165 1.6× 42 0.5× 115 1.9× 75 734
Muhammad Farrukh Shahzad China 19 142 1.0× 92 0.8× 71 0.7× 88 1.0× 185 3.0× 54 864
Ahmad Aburayya United Arab Emirates 17 138 1.0× 205 1.8× 100 1.0× 57 0.7× 238 3.9× 48 1.0k
Hans Lehmann New Zealand 10 299 2.1× 154 1.3× 170 1.7× 49 0.6× 124 2.0× 32 769

Countries citing papers authored by David Johnstone

Since Specialization
Citations

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

Fields of papers citing papers by David Johnstone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Johnstone

This figure shows the co-authorship network connecting the top 25 collaborators of David Johnstone. A scholar is included among the top collaborators of David Johnstone 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 David Johnstone. David Johnstone 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.
Luczak–Roesch, Markus, et al.. (2025). Conceptualizing the evolving nature of computational propaganda: a systematic literature review. Annals of the International Communication Association.
2.
Tate, Mary, et al.. (2024). Digital transformation at Maersk: the never-ending pace of change. Journal of Information Technology Case and Application Research. 26(2). 111–143. 7 indexed citations
3.
Antunes, Pedro, Nguyen Hoang Thuan, & David Johnstone. (2022). Nature and purpose of visual artifacts in design science research. Information Systems and e-Business Management. 20(3). 515–550. 1 indexed citations
4.
Johnstone, David, et al.. (2020). Technological enablers for preventing service failure with e-commerce websites. Figshare. 2 indexed citations
5.
Tomlinson, Bill, et al.. (2020). Analyzing the sustainability of 28 ‘Blockchain for Good’ projects via affordances and constraints. Information Technology for Development. 27(3). 439–469. 21 indexed citations
6.
7.
Nili, Alireza, Mary Tate, & David Johnstone. (2018). The process of solving problems with self-service technologies: a study from the user’s perspective. Electronic Commerce Research. 19(2). 373–407. 12 indexed citations
8.
Thuan, Nguyen Hoang, Pedro Antunes, & David Johnstone. (2018). A Decision Tool for Business Process Crowdsourcing: Ontology, Design, and Evaluation. Group Decision and Negotiation. 27(2). 285–312. 4 indexed citations
9.
Tate, Mary, David Johnstone, & Erwin Fielt. (2017). Ethical issues around crowdwork: How can blockchain technology help?. Journal of the Association for Information Systems. 6 indexed citations
10.
Nili, Alireza, Mary Tate, & David Johnstone. (2017). A Framework and Approach for Analysis of Focus Group Data in Information Systems Research. Journal of the Association for Information Systems. 40. 1–21. 49 indexed citations
11.
Thuan, Nguyen Hoang, Pedro Antunes, & David Johnstone. (2017). A Process Model for Establishing Business Process Crowdsourcing. AJIS. Australasian journal of information systems/AJIS. Australian journal of information systems/Australian journal of information systems. 21. 7 indexed citations
12.
Antunes, Pedro, et al.. (2017). Towards the Development of a DSS Supporting the Integration of Crowdsourcing in Theory Testing: Conceptual Framework and Model. Journal of the Association for Information Systems.
13.
Thuan, Nguyen Hoang, Pedro Antunes, & David Johnstone. (2016). Pilot experiments on a designed crowdsourcing decision tool. RMIT Research Repository (RMIT University Library). 7. 601–606. 1 indexed citations
14.
Johnstone, David, et al.. (2015). Spirituality and everyday information behaviour in a non-Western context: sense-making in Buddhist Laos.. Information Research. 20. 9 indexed citations
15.
Thuan, Nguyen Hoang, Pedro Antunes, & David Johnstone. (2015). Factors influencing the decision to crowdsource: A systematic literature review. Information Systems Frontiers. 18(1). 47–68. 66 indexed citations
16.
Nili, Alireza, Mary Tate, David Johnstone, & Guy G. Gable. (2014). A Framework for Qualitative Analysis of Focus Group Data in Information Systems. QUT ePrints (Queensland University of Technology). 5 indexed citations
17.
Johnstone, David. (2013). TO ESTABLISH CROWDSOURCING AS AN ORGANIZATIONAL BUSINESS PROCESS: AN EXPLORATORY STUDY. 1 indexed citations
18.
Sylvester, Allan, Mary Tate, & David Johnstone. (2011). Beyond synthesis: re-presenting heterogeneous research literature. Behaviour and Information Technology. 32(12). 1199–1215. 88 indexed citations
19.
Tate, Mary & David Johnstone. (2009). ICT, the Changing Line of Visibility, and Customer Impressions of Organisational Competencies. Journal of the Association for Information Systems. 682.
20.
Tate, Mary, Beverley G. Hope, & David Johnstone. (2006). ICT, Multi-Channels, and the Changing Line of Visibility: An Empirical Study. 43. 107a–107a. 4 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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