Philip T. Walmsley

482 total citations
17 papers, 229 citations indexed

About

Philip T. Walmsley is a scholar working on Organizational Behavior and Human Resource Management, Clinical Psychology and Social Psychology. According to data from OpenAlex, Philip T. Walmsley has authored 17 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Organizational Behavior and Human Resource Management, 6 papers in Clinical Psychology and 5 papers in Social Psychology. Recurrent topics in Philip T. Walmsley's work include Personality Traits and Psychology (5 papers), Cognitive Abilities and Testing (4 papers) and Job Satisfaction and Organizational Behavior (4 papers). Philip T. Walmsley is often cited by papers focused on Personality Traits and Psychology (5 papers), Cognitive Abilities and Testing (4 papers) and Job Satisfaction and Organizational Behavior (4 papers). Philip T. Walmsley collaborates with scholars based in United States. Philip T. Walmsley's co-authors include Paul R. Sackett, Nathan R. Kuncel, Amanda J. Koch, Adam Beatty, Jeffrey M. Cucina, Nicholas R. Martin, James W. Beck, Theodore L. Hayes, Jack W. Kostal and Winny Shen and has published in prestigious journals such as The Leadership Quarterly, Perspectives on Psychological Science and Human Resource Management Review.

In The Last Decade

Philip T. Walmsley

16 papers receiving 209 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philip T. Walmsley United States 7 85 69 65 37 36 17 229
Matthew J. Borneman United States 6 74 0.9× 66 1.0× 45 0.7× 85 2.3× 66 1.8× 10 298
Pia V. Ingold Switzerland 10 105 1.2× 105 1.5× 157 2.4× 121 3.3× 28 0.8× 22 325
Steven T. Hunt United States 6 90 1.1× 88 1.3× 120 1.8× 74 2.0× 28 0.8× 15 287
Jack W. Kostal United States 9 44 0.5× 55 0.8× 105 1.6× 28 0.8× 31 0.9× 15 267
Roxanne M. Laczo United States 6 56 0.7× 85 1.2× 164 2.5× 114 3.1× 24 0.7× 7 319
Hedy Acosta Chile 9 66 0.8× 113 1.6× 84 1.3× 31 0.8× 15 0.4× 32 258
Chieh‐Chen Bowen United States 6 81 1.0× 78 1.1× 126 1.9× 132 3.6× 28 0.8× 6 317
Trueman R. Tremble United States 7 48 0.6× 123 1.8× 146 2.2× 45 1.2× 20 0.6× 14 278
Morell E. Mullins United States 7 30 0.4× 77 1.1× 79 1.2× 36 1.0× 9 0.3× 14 273
Kuo‐Yang Kao Taiwan 8 52 0.6× 126 1.8× 110 1.7× 67 1.8× 24 0.7× 11 330

Countries citing papers authored by Philip T. Walmsley

Since Specialization
Citations

This map shows the geographic impact of Philip T. Walmsley'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 Philip T. Walmsley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip T. Walmsley more than expected).

Fields of papers citing papers by Philip T. Walmsley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip T. Walmsley. 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 Philip T. Walmsley. The network helps show where Philip T. Walmsley may publish in the future.

Co-authorship network of co-authors of Philip T. Walmsley

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

All Works

17 of 17 papers shown
1.
Cucina, Jeffrey M., et al.. (2024). Meta-analytic validity of cognitive ability for hands-on military job proficiency. Intelligence. 104. 101818–101818. 1 indexed citations
2.
Cucina, Jeffrey M., et al.. (2023). Is there a g in gunslinger? Cognitive predictors of firearms proficiency. Intelligence. 99. 101768–101768. 1 indexed citations
3.
Walmsley, Philip T., et al.. (2018). A large sample investigation of the presence of nonlinear personality‐job performance relationships. International Journal of Selection and Assessment. 26(2-4). 145–163. 13 indexed citations
4.
Cucina, Jeffrey M., et al.. (2017). Survey Key Driver Analysis: Are We Driving Down the Right Road?. Industrial and Organizational Psychology. 10(2). 234–257. 12 indexed citations
5.
Kostal, Jack W., et al.. (2016). Within‐High‐School Versus Across‐High‐School Scaling of Admissions Assessments: Implications for Validity and Diversity Effects. Educational Measurement Issues and Practice. 36(1). 39–46. 4 indexed citations
6.
Sackett, Paul R., Philip T. Walmsley, Amanda J. Koch, Adam Beatty, & Nathan R. Kuncel. (2016). Predictor content matters for knowledge testing: Evidence supporting content validation. Human Performance. 29(1). 54–71. 7 indexed citations
7.
Beatty, Adam, Philip T. Walmsley, Paul R. Sackett, Nathan R. Kuncel, & Amanda J. Koch. (2015). The Reliability of College Grades. Educational Measurement Issues and Practice. 34(4). 31–40. 31 indexed citations
8.
Sackett, Paul R. & Philip T. Walmsley. (2014). Which Personality Attributes Are Most Important in the Workplace?. Perspectives on Psychological Science. 9(5). 538–551. 100 indexed citations
9.
Cucina, Jeffrey M., Theodore L. Hayes, Philip T. Walmsley, & Nicholas R. Martin. (2014). It Is Time to Get Medieval on the Overproduction of Pseudotheory: How Bacon (1267) and Alhazen (1021) Can Save Industrial–Organizational Psychology. Industrial and Organizational Psychology. 7(3). 356–364. 11 indexed citations
10.
Shen, Winny, Jeffrey M. Cucina, Philip T. Walmsley, & Benjamin Seltzer. (2014). When Correcting for Unreliability of Job Performance Ratings, the Best Estimate Is Still .52. Industrial and Organizational Psychology. 7(4). 519–524. 1 indexed citations
11.
Shen, Winny, Jeffrey M. Cucina, Philip T. Walmsley, & Benjamin Seltzer. (2014). When Correcting for Unreliability of Job Performance Ratings, the Best Estimate Is Still .52. Industrial and Organizational Psychology. 7(4). 519–524. 3 indexed citations
12.
Walmsley, Philip T. & Paul R. Sackett. (2013). Factors Affecting Potential Personality Retest Improvement After Initial Failure. Human Performance. 26(5). 390–408. 6 indexed citations
13.
Sackett, Paul R., et al.. (2013). A Comparison of Alternate Approaches to Creating Indices of Academic Rigor. Digital Commons - University of South Florida (University of South Florida). 2 indexed citations
14.
Beck, James W., et al.. (2012). What have you done for me lately? Charisma attenuates the decline in U.S. presidential approval over time. The Leadership Quarterly. 23(5). 934–942. 6 indexed citations
15.
Beck, James W. & Philip T. Walmsley. (2012). Selection Ratio and Employee Retention as Antecedents of Competitive Advantage. Industrial and Organizational Psychology. 5(1). 92–95. 4 indexed citations
16.
Walmsley, Philip T., et al.. (2009). Reducing counterproductive work behavior through employee selection. Human Resource Management Review. 20(1). 62–72. 27 indexed citations
17.
Sackett, Paul R., Philip T. Walmsley, & Roxanne M. Laczo. (2003). Job and work analysis: Industrial and Organizational Psychology. 48–87.

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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