Gary F. Templeton

1.8k total citations · 1 hit paper
31 papers, 1.3k citations indexed

About

Gary F. Templeton is a scholar working on Management Science and Operations Research, Strategy and Management and Management Information Systems. According to data from OpenAlex, Gary F. Templeton has authored 31 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Management Science and Operations Research, 9 papers in Strategy and Management and 8 papers in Management Information Systems. Recurrent topics in Gary F. Templeton's work include Innovation and Knowledge Management (9 papers), Big Data and Business Intelligence (7 papers) and Complex Systems and Decision Making (6 papers). Gary F. Templeton is often cited by papers focused on Innovation and Knowledge Management (9 papers), Big Data and Business Intelligence (7 papers) and Complex Systems and Decision Making (6 papers). Gary F. Templeton collaborates with scholars based in United States, South Korea and Singapore. Gary F. Templeton's co-authors include Bruce R. Lewis, Terry Anthony Byrd, Charles A. Snyder, Xin Luo, Laurie L. Burney, Merrill Warkentin, Gary Taylor, LaKami T. Baker, Nargess Tahmasbi and Sidney A. Morris and has published in prestigious journals such as Communications of the ACM, MIS Quarterly and Journal of Operations Management.

In The Last Decade

Gary F. Templeton

28 papers receiving 1.3k citations

Hit Papers

A Two-Step Approach for T... 2011 2026 2016 2021 2011 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gary F. Templeton United States 11 255 243 188 181 172 31 1.3k
Chin United States 15 150 0.6× 288 1.2× 266 1.4× 198 1.1× 143 0.8× 62 1.4k
Isabelle Deschamps Canada 13 227 0.9× 193 0.8× 289 1.5× 105 0.6× 162 0.9× 39 1.1k
Elfi Furtmueller Netherlands 10 171 0.7× 251 1.0× 145 0.8× 277 1.5× 259 1.5× 17 1.3k
Remko Helms Netherlands 19 336 1.3× 247 1.0× 129 0.7× 144 0.8× 260 1.5× 83 1.5k
Kira Schabram United States 9 238 0.9× 293 1.2× 118 0.6× 281 1.6× 264 1.5× 15 1.7k
Sebastian K. Boell Australia 13 117 0.5× 411 1.7× 109 0.6× 126 0.7× 194 1.1× 33 1.3k
Mohd Rashid Ab Hamid Malaysia 10 217 0.9× 235 1.0× 173 0.9× 173 1.0× 102 0.6× 46 1.4k
Miguel I. Aguirre‐Urreta United States 12 135 0.5× 252 1.0× 173 0.9× 185 1.0× 97 0.6× 41 970
Pouria Khosravi Australia 14 207 0.8× 214 0.9× 122 0.6× 242 1.3× 106 0.6× 23 1.3k
Nina Evans Australia 20 177 0.7× 250 1.0× 158 0.8× 64 0.4× 124 0.7× 98 1.2k

Countries citing papers authored by Gary F. Templeton

Since Specialization
Citations

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

Fields of papers citing papers by Gary F. Templeton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gary F. Templeton

This figure shows the co-authorship network connecting the top 25 collaborators of Gary F. Templeton. A scholar is included among the top collaborators of Gary F. Templeton 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 F. Templeton. Gary F. Templeton 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.
Templeton, Gary F., et al.. (2025). Understanding non-normality in business, finance, and accounting research. Review of Quantitative Finance and Accounting. 66(2). 693–729.
2.
Templeton, Gary F., et al.. (2023). A method framework for identifying digital resource clusters in software ecosystems. Decision Support Systems. 177. 114085–114085. 3 indexed citations
3.
Templeton, Gary F., et al.. (2023). Vulnerability diffusions in software product networks. Journal of Operations Management. 69(8). 1342–1370. 2 indexed citations
4.
Templeton, Gary F., et al.. (2021). The Usefulness of the Two-Step Normality Transformation in Retesting Existing Theories. ACM SIGMIS Database the DATABASE for Advances in Information Systems. 52(1). 53–64. 4 indexed citations
5.
Carter‐Templeton, Heather, et al.. (2021). Associations between weather-related data and influenza reports: A pilot study and related policy implications. Applied Nursing Research. 67. 151413–151413. 1 indexed citations
6.
Templeton, Gary F., et al.. (2021). Regression imputation optimizing sample size and emulation: Demonstrations and comparisons to prominent methods. Decision Support Systems. 151. 113624–113624. 11 indexed citations
7.
Carter‐Templeton, Heather, et al.. (2019). Development of a Dashboard to Monitor Employee Wellness Data. 1 indexed citations
8.
Templeton, Gary F., et al.. (2019). The Asset Structures of Emerging Technology Providers. Journal of Emerging Technologies in Accounting. 17(1). 143–147. 1 indexed citations
9.
Templeton, Gary F., et al.. (2019). Information Technology Firms: Creating Value through Digital Disruption. Journal of the Association for Information Systems. 748–763. 1 indexed citations
10.
Templeton, Gary F. & Laurie L. Burney. (2016). Using a Two-Step Transformation to Address Non-Normality from a Business Value of Information Technology Perspective. Journal of Information Systems. 31(2). 149–164. 30 indexed citations
11.
Templeton, Gary F., Xin Luo, Tomas R. Giberson, & Natalie Campbell. (2012). Leader personal influences on membership decisions in moderated online social networking groups. Decision Support Systems. 54(1). 655–664. 10 indexed citations
12.
Arnett, Kirk P., et al.. (2009). Information Security by Words Alone. International Journal of Information Security and Privacy. 3(2). 84–89.
13.
Taylor, Gary, Gary F. Templeton, & LaKami T. Baker. (2009). Factors Influencing the Success of Organizational Learning Implementation: A Policy Facet Perspective. International Journal of Management Reviews. 12(4). 353–364. 23 indexed citations
14.
Arnett, Kirk P., et al.. (2008). Securing Personal Information Assets: Testing Antecedents of Behavioral Intentions. Journal of the Association for Information Systems. 38(8). 272–5456. 2 indexed citations
15.
Lewis, Bruce R., Gary F. Templeton, & Xin Luo. (2007). A Scientometric Investigation into the Validity of IS Journal Quality Measures. Journal of the Association for Information Systems. 8(12). 619–633. 49 indexed citations
16.
Templeton, Gary F., et al.. (2004). Managing P2P security. Communications of the ACM. 47(9). 95–98. 10 indexed citations
17.
Templeton, Gary F., Sidney A. Morris, Charles A. Snyder, & Bruce R. Lewis. (2004). Methodological and Thematic Prescriptions for Defining and Measuring the Organizational Learning Concept. Information Systems Frontiers. 6(3). 263–276. 10 indexed citations
18.
Templeton, Gary F.. (2003). Object-oriented programming of integrated circuits. Communications of the ACM. 46(3). 105–108. 1 indexed citations
19.
Templeton, Gary F. & Charles A. Snyder. (2000). Precursors, contexts and consequences of organisational learning. International Journal of Technology Management. 20(5/6/7/8). 765–765. 8 indexed citations
20.
Templeton, Gary F. & Charles A. Snyder. (1999). A model of organisational learning based on control. International Journal of Technology Management. 18(5/6/7/8). 705–705. 8 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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