Lee T. Penn

1.5k total citations · 1 hit paper
9 papers, 986 citations indexed

About

Lee T. Penn is a scholar working on Safety Research, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Lee T. Penn has authored 9 papers receiving a total of 986 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Safety Research, 5 papers in Social Psychology and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in Lee T. Penn's work include Career Development and Diversity (8 papers), Grit, Self-Efficacy, and Motivation (3 papers) and Education, Achievement, and Giftedness (3 papers). Lee T. Penn is often cited by papers focused on Career Development and Diversity (8 papers), Grit, Self-Efficacy, and Motivation (3 papers) and Education, Achievement, and Giftedness (3 papers). Lee T. Penn collaborates with scholars based in United States. Lee T. Penn's co-authors include Robert W. Lent, Glenn W. Ireland, Taylor R. Morris, Ryan Sappington, M. Ashley Morrison, Ijeoma Ezeofor, Hung‐Bin Sheu, Nancy N. Truong, Matthew J. Miller and Robert H. Lim and has published in prestigious journals such as Journal of Vocational Behavior, Journal of Counseling Psychology and Journal of Career Assessment.

In The Last Decade

Lee T. Penn

9 papers receiving 945 citations

Hit Papers

Sources of self-efficacy and outcome expectations for car... 2017 2026 2020 2023 2017 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lee T. Penn United States 8 532 472 331 188 160 9 986
Glenn W. Ireland United States 7 337 0.6× 320 0.7× 241 0.7× 90 0.5× 125 0.8× 7 659
Claire S. Johnston Switzerland 14 563 1.1× 460 1.0× 448 1.4× 86 0.5× 306 1.9× 19 1.1k
Bora Lee United States 14 396 0.7× 304 0.6× 266 0.8× 128 0.7× 121 0.8× 35 863
Jo‐Ida C. Hansen United States 18 512 1.0× 362 0.8× 315 1.0× 252 1.3× 144 0.9× 53 1.0k
Marinka Kuijpers Netherlands 16 192 0.4× 594 1.3× 132 0.4× 44 0.2× 198 1.2× 31 843
Donald G. Zytowski United States 16 359 0.7× 266 0.6× 320 1.0× 123 0.7× 116 0.7× 72 897
Logan L. Watts United States 20 199 0.4× 141 0.3× 173 0.5× 132 0.7× 214 1.3× 47 1.1k
Vincent A. Harren United States 9 377 0.7× 240 0.5× 272 0.8× 197 1.0× 64 0.4× 19 850
Laura Osteen United States 9 155 0.3× 592 1.3× 278 0.8× 21 0.1× 188 1.2× 12 908

Countries citing papers authored by Lee T. Penn

Since Specialization
Citations

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

Fields of papers citing papers by Lee T. Penn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lee T. Penn

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

All Works

9 of 9 papers shown
1.
Penn, Lee T. & Robert W. Lent. (2020). Retiring or rewiring? Test of a social cognitive model of retirement planning.. Journal of Counseling Psychology. 68(5). 538–549. 3 indexed citations
2.
Lent, Robert W., et al.. (2019). Viewing the Career Indecision Profile within a theoretical context: Application of the social cognitive career self-management model.. Journal of Counseling Psychology. 66(6). 690–700. 32 indexed citations
4.
Lent, Robert W., Taylor R. Morris, Lee T. Penn, & Glenn W. Ireland. (2018). Social–cognitive predictors of career exploration and decision-making: Longitudinal test of the career self-management model.. Journal of Counseling Psychology. 66(2). 184–194. 63 indexed citations
5.
Sheu, Hung‐Bin, et al.. (2018). Sources of self-efficacy and outcome expectations in science, technology, engineering, and mathematics domains: A meta-analysis. Journal of Vocational Behavior. 109. 118–136. 106 indexed citations
6.
Penn, Lee T. & Robert W. Lent. (2018). The Joint Roles of Career Decision Self-Efficacy and Personality Traits in the Prediction of Career Decidedness and Decisional Difficulty. Journal of Career Assessment. 27(3). 457–470. 80 indexed citations
7.
Lent, Robert W., Glenn W. Ireland, Lee T. Penn, Taylor R. Morris, & Ryan Sappington. (2017). Sources of self-efficacy and outcome expectations for career exploration and decision-making: A test of the social cognitive model of career self-management. Journal of Vocational Behavior. 99. 107–117. 241 indexed citations breakdown →
8.
Lim, Robert H., Robert W. Lent, & Lee T. Penn. (2016). Prediction of job search intentions and behaviors: Testing the social cognitive model of career self-management.. Journal of Counseling Psychology. 63(5). 594–603. 68 indexed citations
9.
Lent, Robert W., Ijeoma Ezeofor, M. Ashley Morrison, Lee T. Penn, & Glenn W. Ireland. (2015). Applying the social cognitive model of career self-management to career exploration and decision-making. Journal of Vocational Behavior. 93. 47–57. 232 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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