Leonard Hoon

406 total citations
21 papers, 239 citations indexed

About

Leonard Hoon is a scholar working on Sociology and Political Science, Information Systems and Management and Applied Psychology. According to data from OpenAlex, Leonard Hoon has authored 21 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Sociology and Political Science, 5 papers in Information Systems and Management and 5 papers in Applied Psychology. Recurrent topics in Leonard Hoon's work include Digital Marketing and Social Media (6 papers), Digital Mental Health Interventions (5 papers) and Technology Adoption and User Behaviour (4 papers). Leonard Hoon is often cited by papers focused on Digital Marketing and Social Media (6 papers), Digital Mental Health Interventions (5 papers) and Technology Adoption and User Behaviour (4 papers). Leonard Hoon collaborates with scholars based in Australia, Belgium and Canada. Leonard Hoon's co-authors include Rajesh Vasa, Kon Mouzakis, Akihiro Noguchi, Jean-Guy Schneider, John Grundy, Radhika Görur, Emma Kowal, Simon Parker, Celia B. Harris and Jill M. Newby and has published in prestigious journals such as Journal of Advanced Nursing, International Journal of Nursing Studies and Frontiers in Psychiatry.

In The Last Decade

Leonard Hoon

16 papers receiving 226 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leonard Hoon Australia 7 104 97 38 36 29 21 239
Camille Cobb United States 9 116 1.1× 176 1.8× 12 0.3× 42 1.2× 28 1.0× 16 284
John M. Blythe United Kingdom 11 153 1.5× 147 1.5× 31 0.8× 46 1.3× 20 0.7× 13 322
Honglu Du United States 11 86 0.8× 95 1.0× 28 0.7× 13 0.4× 48 1.7× 21 320
Leonardo Horn Iwaya Sweden 11 101 1.0× 90 0.9× 19 0.5× 65 1.8× 116 4.0× 25 315
Abraham Mhaidli United States 9 68 0.7× 136 1.4× 10 0.3× 50 1.4× 7 0.2× 11 252
Fangjian Gao Germany 6 80 0.8× 71 0.7× 35 0.9× 32 0.9× 121 4.2× 9 308
Till Plumbaum Germany 8 48 0.5× 36 0.4× 22 0.6× 34 0.9× 12 0.4× 28 155
Mohammad Tahaei United Kingdom 10 162 1.6× 181 1.9× 12 0.3× 72 2.0× 6 0.2× 18 326
Lisa Neal United States 9 88 0.8× 40 0.4× 12 0.3× 59 1.6× 21 0.7× 51 279
Nicholas Micallef United Kingdom 7 72 0.7× 103 1.1× 9 0.2× 31 0.9× 7 0.2× 17 174

Countries citing papers authored by Leonard Hoon

Since Specialization
Citations

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

Fields of papers citing papers by Leonard Hoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonard Hoon

This figure shows the co-authorship network connecting the top 25 collaborators of Leonard Hoon. A scholar is included among the top collaborators of Leonard Hoon 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 Leonard Hoon. Leonard Hoon 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
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Han, Jin, Alexis E. Whitton, Leonard Hoon, et al.. (2024). Passive sensing data predicts stress in university students: a supervised machine learning method for digital phenotyping. Frontiers in Psychiatry. 15. 1422027–1422027. 2 indexed citations
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Beames, Joanne R., Jin Han, Wu Yi Zheng, et al.. (2024). Use of smartphone sensor data in detecting and predicting depression and anxiety in young people (12–25 years): A scoping review. Heliyon. 10(15). e35472–e35472. 9 indexed citations
6.
Parker, Simon, et al.. (2023). Technology for dementia care: what would good technology look like and do, from carers’ perspectives?. BMC Geriatrics. 23(1). 867–867. 14 indexed citations
7.
Whitton, Alexis E., Wu Yi Zheng, Joanne R. Beames, et al.. (2023). Machine learning identifies a COVID-19-specific phenotype in university students using a mental health app. Internet Interventions. 34. 100666–100666. 3 indexed citations
8.
Redley, Bernice, et al.. (2022). Nurses' harm prevention practices during admission of an older person to the hospital: A multi‐method qualitative study. Journal of Advanced Nursing. 78(11). 3745–3759. 3 indexed citations
9.
Redley, Bernice, et al.. (2022). Nursing guidelines for comprehensive harm prevention strategies for adult patients in acute hospitals: An integrative review and synthesis. International Journal of Nursing Studies. 127. 104178–104178. 4 indexed citations
10.
Barnett, Scott, Leonard Hoon, Srikanth Thudumu, et al.. (2022). PiMS: A Pre-ML Labelling Tool. Zenodo (CERN European Organization for Nuclear Research). 431–432.
11.
Görur, Radhika, Leonard Hoon, & Emma Kowal. (2020). Computer Science Ethics Education in Australia – A Work in Progress. 9 indexed citations
12.
Hoon, Leonard, et al.. (2016). Agree to disagree. Swinburne Research Bank (Swinburne University of Technology). 416–420. 5 indexed citations
13.
Hoon, Leonard, et al.. (2016). Spreading word. Swinburne Research Bank (Swinburne University of Technology). 643–645. 1 indexed citations
14.
Grundy, John, et al.. (2016). Does textual word-of-mouth affect look and feel?. Swinburne Research Bank (Swinburne University of Technology). 257–265. 3 indexed citations
15.
Hoon, Leonard, Felix Ter Chian Tan, Rajesh Vasa, Kon Mouzakis, & Mark Fitzgerald. (2015). ICT-Enabled Time-Critical Clinical Practices: Examining the Affordances of an Information Processing Solution. AJIS. Australasian journal of information systems/AJIS. Australian journal of information systems/Australian journal of information systems. 19. 1 indexed citations
16.
Hoon, Leonard, et al.. (2013). Awesome!. 229–232. 13 indexed citations
17.
Mouzakis, Kon, Leonard Hoon, & Rajesh Vasa. (2013). Socrates mobile app review dataset. Swinburne Research Bank (Swinburne University of Technology). 2 indexed citations
18.
Vasa, Rajesh, Leonard Hoon, Kon Mouzakis, & Akihiro Noguchi. (2012). A preliminary analysis of mobile app user reviews. Swinburne Research Bank (Swinburne University of Technology). 241–244. 95 indexed citations
19.
Hoon, Leonard, Rajesh Vasa, Jean-Guy Schneider, & Kon Mouzakis. (2012). A preliminary analysis of vocabulary in mobile app user reviews. Swinburne Research Bank (Swinburne University of Technology). 245–248. 39 indexed citations
20.
Schneider, Jean-Guy, Rajesh Vasa, & Leonard Hoon. (2010). Do metrics help to identify refactoring?. Swinburne Research Bank (Swinburne University of Technology). 3–7. 3 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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