Robert H. Lim

790 total citations
9 papers, 496 citations indexed

About

Robert H. Lim is a scholar working on Safety Research, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Robert H. Lim has authored 9 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Safety Research, 5 papers in Social Psychology and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Robert H. Lim's work include Career Development and Diversity (6 papers), Education, Achievement, and Giftedness (4 papers) and Higher Education Research Studies (3 papers). Robert H. Lim is often cited by papers focused on Career Development and Diversity (6 papers), Education, Achievement, and Giftedness (4 papers) and Higher Education Research Studies (3 papers). Robert H. Lim collaborates with scholars based in United States and Israel. Robert H. Lim's co-authors include Robert W. Lent, Kayi Hui, Matthew J. Miller, Paige Smith, Bevlee Watford, Lee T. Penn, Kevin M. Williams, Gregory Wilkins, M. Ashley Morrison and H Martı́n and has published in prestigious journals such as Journal of Vocational Behavior, Journal of Counseling Psychology and Psychotherapy.

In The Last Decade

Robert H. Lim

9 papers receiving 468 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert H. Lim United States 8 227 188 159 88 83 9 496
Kayi Hui United States 10 230 1.0× 182 1.0× 183 1.2× 100 1.1× 122 1.5× 11 546
Sapna B. Chopra United States 5 348 1.5× 283 1.5× 152 1.0× 102 1.2× 48 0.6× 10 571
Mary E. Fitzpatrick United States 9 289 1.3× 203 1.1× 126 0.8× 99 1.1× 105 1.3× 12 554
V. Suthakaran United States 4 334 1.5× 270 1.4× 160 1.0× 101 1.1× 52 0.6× 8 553
Ijeoma Ezeofor United States 6 181 0.8× 234 1.2× 154 1.0× 44 0.5× 68 0.8× 9 469
Neeta Kantamneni United States 12 416 1.8× 334 1.8× 212 1.3× 133 1.5× 96 1.2× 21 685
Lynette H. Bikos United States 11 191 0.8× 299 1.6× 181 1.1× 64 0.7× 89 1.1× 35 610
Briana K. Keller United States 4 329 1.4× 279 1.5× 183 1.2× 93 1.1× 101 1.2× 4 623
M. Ashley Morrison United States 7 328 1.4× 329 1.8× 432 2.7× 85 1.0× 196 2.4× 7 798
Kerrie G. Wilkins‐Yel United States 10 190 0.8× 142 0.8× 130 0.8× 34 0.4× 58 0.7× 32 478

Countries citing papers authored by Robert H. Lim

Since Specialization
Citations

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

Fields of papers citing papers by Robert H. Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert H. Lim. 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 Robert H. Lim. The network helps show where Robert H. Lim may publish in the future.

Co-authorship network of co-authors of Robert H. Lim

This figure shows the co-authorship network connecting the top 25 collaborators of Robert H. Lim. A scholar is included among the top collaborators of Robert H. Lim 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 Robert H. Lim. Robert H. Lim 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.
Miller, Matthew J., Robert W. Lent, Paige Smith, et al.. (2020). Racially Diverse Women's and Men's Adjustment to STEM Majors: Implications for Recruitment and Retention. 22.1209.1–22.1209.7. 1 indexed citations
2.
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
3.
Lent, Robert W., Matthew J. Miller, Paige Smith, et al.. (2016). Social cognitive predictors of academic persistence and performance in engineering: Applicability across gender and race/ethnicity. Journal of Vocational Behavior. 94. 79–88. 87 indexed citations
4.
Miller, Matthew J., Robert W. Lent, Robert H. Lim, et al.. (2014). Pursuing and Adjusting to Engineering Majors. Journal of Career Assessment. 23(1). 48–63. 14 indexed citations
5.
Lent, Robert W., Matthew J. Miller, Paige Smith, et al.. (2014). Social cognitive model of adjustment to engineering majors: Longitudinal test across gender and race/ethnicity. Journal of Vocational Behavior. 86. 77–85. 96 indexed citations
6.
Lent, Robert W., Matthew J. Miller, Paige Smith, et al.. (2013). Social cognitive predictors of adjustment to engineering majors across gender and race/ethnicity. Journal of Vocational Behavior. 83(1). 22–30. 114 indexed citations
7.
Miller, Matthew J., et al.. (2012). A test of the domain-specific acculturation strategy hypothesis.. Cultural Diversity & Ethnic Minority Psychology. 19(1). 1–12. 21 indexed citations
8.
Miller, Matthew J., et al.. (2011). Acculturation, enculturation, and Asian American college students' mental health and attitudes toward seeking professional psychological help.. Journal of Counseling Psychology. 58(3). 346–357. 72 indexed citations
9.
Lent, Robert W., et al.. (2009). Perceived sources of change in trainees’ self-efficacy beliefs.. Psychotherapy. 46(3). 317–327. 23 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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