Gary Crilley

755 total citations
30 papers, 593 citations indexed

About

Gary Crilley is a scholar working on Social Psychology, Sociology and Political Science and Economics and Econometrics. According to data from OpenAlex, Gary Crilley has authored 30 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Social Psychology, 15 papers in Sociology and Political Science and 15 papers in Economics and Econometrics. Recurrent topics in Gary Crilley's work include Recreation, Leisure, Wilderness Management (18 papers), Economic and Environmental Valuation (15 papers) and Diverse Aspects of Tourism Research (13 papers). Gary Crilley is often cited by papers focused on Recreation, Leisure, Wilderness Management (18 papers), Economic and Environmental Valuation (15 papers) and Diverse Aspects of Tourism Research (13 papers). Gary Crilley collaborates with scholars based in Australia. Gary Crilley's co-authors include Gary Howat, Duncan Murray, James D. Absher, Ross Taplin, Delene Weber, Richard McGrath, Emily Moskwa, Barry James Bell, Tony Griffin and Simon Darcy and has published in prestigious journals such as Journal of Management & Organization, Annals of Leisure Research and Journal of Park and Recreation Administration.

In The Last Decade

Gary Crilley

28 papers receiving 486 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gary Crilley Australia 12 334 314 179 171 116 30 593
J. Tonge Australia 9 125 0.4× 429 1.4× 90 0.5× 177 1.0× 96 0.8× 11 610
Huei‐Ju Chen Taiwan 6 147 0.4× 579 1.8× 145 0.8× 166 1.0× 21 0.2× 8 658
David J. Shonk United States 11 183 0.5× 389 1.2× 105 0.6× 146 0.9× 37 0.3× 21 500
Jinok Susanna Kim South Korea 13 142 0.4× 360 1.1× 178 1.0× 89 0.5× 35 0.3× 36 591
Marta Laguna García Spain 8 164 0.5× 748 2.4× 234 1.3× 112 0.7× 50 0.4× 12 855
Ignacio A. Rodríguez del Bosque Spain 4 204 0.6× 754 2.4× 294 1.6× 67 0.4× 20 0.2× 9 848
Siripan Deesilatham United Kingdom 2 155 0.5× 488 1.6× 195 1.1× 118 0.7× 9 0.1× 2 565
John Armbrecht Sweden 12 49 0.1× 346 1.1× 76 0.4× 81 0.5× 96 0.8× 30 477
Medet Yolal Türkiye 10 113 0.3× 723 2.3× 108 0.6× 208 1.2× 30 0.3× 37 819
Bongkoo Lee South Korea 8 42 0.1× 318 1.0× 75 0.4× 122 0.7× 41 0.4× 13 417

Countries citing papers authored by Gary Crilley

Since Specialization
Citations

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

Fields of papers citing papers by Gary Crilley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gary Crilley

This figure shows the co-authorship network connecting the top 25 collaborators of Gary Crilley. A scholar is included among the top collaborators of Gary Crilley 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 Gary Crilley. Gary Crilley 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.
Crilley, Gary, Delene Weber, & Ross Taplin. (2012). Predicting Visitor Satisfaction in Parks: Comparing the Value of Personal Benefit Attainment and Service Levels in Kakadu National Park, Australia. Visitor Studies. 15(2). 217–237. 59 indexed citations
2.
Griffin, Tony, et al.. (2010). Protected area management: collection and use of visitor data. Volume 2: State agency overviews. Murdoch Research Repository (Murdoch University). 1 indexed citations
3.
Moskwa, Emily & Gary Crilley. (2010). Satisfaction and Recommendation Levels: An Investigation of Visitor Service Quality at Four Australian Museums. The International Journal of the Inclusive Museum. 2(4). 17–28. 2 indexed citations
4.
Griffin, Tony, et al.. (2010). Protected Area Management: Collection and Use of Visitor Data. Volume 1: Summary and Recommendations. Murdoch Research Repository (Murdoch University). 7 indexed citations
5.
Crilley, Gary, et al.. (2010). Identifying Visitor Service Quality in Australian Regional Botanic Gardens. Annals of Leisure Research. 13(3). 476–496. 12 indexed citations
6.
Griffin, Tony, et al.. (2009). Visitor data needs of protected area agencies. Murdoch Research Repository (Murdoch University). 1 indexed citations
7.
Darcy, Simon, et al.. (2009). Designing and Testing a Park-Based Visitor Survey. UTS ePRESS (University of Technology Sydney). 11 indexed citations
8.
Darcy, Simon, et al.. (2009). Helping park managers use their visitor information. 2 indexed citations
9.
Crilley, Gary. (2008). Visitor Service Quality Attributes at Australian Botanic Gardens: Their use in predicting behavioural intentions. Annals of Leisure Research. 11(1-2). 20–40. 10 indexed citations
10.
Murray, Duncan, et al.. (2007). Advocacy and Visitation Levels in Australian Botanic Gardens: Process and Outcome Benefits. Journal of Park and Recreation Administration. 25(3). 67–88. 11 indexed citations
11.
Crilley, Gary, et al.. (2006). Visitor Service Quality, Visitor Benefits, and Behavioural Intentions: An Empirical Investigation at an Australian Botanic Garden. 1378. 7 indexed citations
12.
Howat, Gary, Duncan Murray, & Gary Crilley. (2005). Reducing measurement overload: Rationalizing performance measures for public aquatic centres in Australia. Managing Leisure. 10(2). 128–142. 15 indexed citations
13.
Howat, Gary, Gary Crilley, & Duncan Murray. (2005). Using Performance Measures to Assess Performance of Indoor and Outdoor Aquatic Centres. Journal of Management & Organization. 11(1). 6–16. 9 indexed citations
14.
Howat, Gary, Gary Crilley, & Duncan Murray. (2005). Using Performance Measures to Assess Performance of Indoor and Outdoor Aquatic Centres. Journal of Management & Organization. 11(1). 6–16. 8 indexed citations
15.
Crilley, Gary, et al.. (2002). Measuring performance in operational management and customer service quality: A survey of financial and non-financial metrics from the Australian golf industry. Journal of Retail & Leisure Property. 2(4). 369–380. 19 indexed citations
16.
Howat, Gary, et al.. (2002). Service Quality, Customer Satisfaction and Behavioural Intentions of Australian Aquatic Centre Customers, 1999–2001. Annals of Leisure Research. 5(1). 51–64. 15 indexed citations
17.
Bell, Barry James & Gary Crilley. (2002). An Application of the CERM Performance Indicators Program to Benchmarking in the Australian Caravan and Tourist Park Sector. 9(2). 80. 7 indexed citations
18.
Howat, Gary, Duncan Murray, & Gary Crilley. (1999). The relationships between service problems and perceptions of service quality, satisfaction, and behavioral intentions of Australian public sports and leisure center customers.. Journal of Park and Recreation Administration. 17(2). 42–64. 96 indexed citations
19.
Howat, Gary & Gary Crilley. (1996). Australian local government parks and recreation goals. A longitudinal examination 1985, 1990 and 1995.. 32(3). 13–19. 2 indexed citations
20.
Howat, Gary, et al.. (1995). Measuring customer service quality in recreation and parks.. 31(4). 37–43. 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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