Vincent Ng

1.8k total citations · 2 hit papers
17 papers, 1.1k citations indexed

About

Vincent Ng is a scholar working on Social Psychology, Clinical Psychology and Sociology and Political Science. According to data from OpenAlex, Vincent Ng has authored 17 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Social Psychology, 6 papers in Clinical Psychology and 5 papers in Sociology and Political Science. Recurrent topics in Vincent Ng's work include Psychological Well-being and Life Satisfaction (5 papers), Personality Traits and Psychology (4 papers) and Leadership, Courage, and Heroism Studies (3 papers). Vincent Ng is often cited by papers focused on Psychological Well-being and Life Satisfaction (5 papers), Personality Traits and Psychology (4 papers) and Leadership, Courage, and Heroism Studies (3 papers). Vincent Ng collaborates with scholars based in United States, Australia and Singapore. Vincent Ng's co-authors include Louis Tay, Lauren Kuykendall, Andrew T. Jebb, Louis Hickman, Sang Eun Woo, Rachel Saef, Nigel Bosch, Martin E. P. Seligman, Herbert W. Marsh and Mengyang Cao and has published in prestigious journals such as Psychological Bulletin, Journal of Applied Psychology and Frontiers in Psychology.

In The Last Decade

Vincent Ng

16 papers receiving 1.1k citations

Hit Papers

Leisure engagement and subjective well-being: A meta-anal... 2015 2026 2018 2022 2015 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vincent Ng United States 12 428 246 196 119 110 17 1.1k
Andrew T. Jebb United States 12 447 1.0× 257 1.0× 153 0.8× 126 1.1× 157 1.4× 16 1.4k
Jocelyn H. Bolin United States 11 357 0.8× 370 1.5× 398 2.0× 174 1.5× 74 0.7× 23 1.3k
Amery D. Wu Canada 15 232 0.5× 199 0.8× 241 1.2× 87 0.7× 60 0.5× 37 1.1k
David Sharek United States 8 219 0.5× 422 1.7× 178 0.9× 112 0.9× 41 0.4× 10 1.2k
Justin A. DeSimone United States 13 329 0.8× 402 1.6× 247 1.3× 265 2.2× 44 0.4× 32 1.2k
Eunseong Cho South Korea 10 300 0.7× 315 1.3× 210 1.1× 224 1.9× 41 0.4× 35 1.6k
Diana Mîndrilă United States 9 265 0.6× 238 1.0× 223 1.1× 54 0.5× 50 0.5× 31 1.2k
John Adams United Kingdom 6 272 0.6× 227 0.9× 355 1.8× 92 0.8× 67 0.6× 10 1.1k
Amy Smith United States 12 534 1.2× 425 1.7× 106 0.5× 105 0.9× 32 0.3× 25 1.2k
Jonathan Nevitt United States 10 333 0.8× 283 1.2× 243 1.2× 137 1.2× 36 0.3× 13 1.4k

Countries citing papers authored by Vincent Ng

Since Specialization
Citations

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

Fields of papers citing papers by Vincent Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincent Ng

This figure shows the co-authorship network connecting the top 25 collaborators of Vincent Ng. A scholar is included among the top collaborators of Vincent Ng 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 Vincent Ng. Vincent Ng 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.
Zhang, Nan, Mo Wang, Heng Xu, et al.. (2023). Reducing subgroup differences in personnel selection through the application of machine learning. Personnel Psychology. 76(4). 1125–1159. 18 indexed citations
2.
Wilson, Danielle, et al.. (2023). Conceptualizing “positive attributes” across psychological perspectives. Journal of Personality. 92(3). 683–696. 5 indexed citations
3.
Wilson, Danielle, Vincent Ng, Jeff Foster, & Louis Tay. (2023). Character Traits Predict Health and Well-Being beyond Personality. Journal of Personality Assessment. 106(1). 116–126.
4.
Yaden, David B., Cassondra Batz-Barbarich, Vincent Ng, et al.. (2022). A Meta-Analysis of Religion/Spirituality and Life Satisfaction. Journal of Happiness Studies. 23(8). 4147–4163. 34 indexed citations
5.
Tongeren, Daryl R. Van, Vincent Ng, Louis Hickman, & Louis Tay. (2022). Behavioral measures of humility: Part 1. Theoretical and methodological review. The Journal of Positive Psychology. 18(5). 711–721. 6 indexed citations
6.
Tongeren, Daryl R. Van, Vincent Ng, Louis Hickman, & Louis Tay. (2022). Behavioral measures of humility: Part 2. Conceptual mapping and charting ways forward. The Journal of Positive Psychology. 18(5). 722–732. 3 indexed citations
7.
Hickman, Louis, Rachel Saef, Vincent Ng, et al.. (2021). Developing and evaluating language‐based machine learning algorithms for inferring applicant personality in video interviews. Human Resource Management Journal. 34(2). 255–274. 34 indexed citations
8.
Hickman, Louis, Nigel Bosch, Vincent Ng, et al.. (2021). Automated video interview personality assessments: Reliability, validity, and generalizability investigations.. Journal of Applied Psychology. 107(8). 1323–1351. 88 indexed citations
9.
Jebb, Andrew T., Vincent Ng, & Louis Tay. (2021). A Review of Key Likert Scale Development Advances: 1995–2019. Frontiers in Psychology. 12. 637547–637547. 339 indexed citations breakdown →
10.
Ng, Vincent, Philseok Lee, Moon‐Ho Ringo Ho, et al.. (2020). The Development and Validation of a Multidimensional Forced-Choice Format Character Measure: Testing the Thurstonian IRT Approach. Journal of Personality Assessment. 103(2). 224–237. 26 indexed citations
11.
Ng, Vincent & Louis Tay. (2020). Lost in Translation: The Construct Representation of Character Virtues. Perspectives on Psychological Science. 15(2). 309–326. 52 indexed citations
12.
Tay, Louis & Vincent Ng. (2018). Ideal Point Modeling of Non-cognitive Constructs: Review and Recommendations for Research. Frontiers in Psychology. 9. 2423–2423. 17 indexed citations
13.
Ng, Vincent, Louis Tay, & Lauren Kuykendall. (2017). The development and validation of a measure of character: The CIVIC. The Journal of Positive Psychology. 13(4). 346–372. 26 indexed citations
14.
Tay, Louis, Vincent Ng, Abish Malik, et al.. (2017). Big Data Visualizations in Organizational Science. Organizational Research Methods. 21(3). 660–688. 21 indexed citations
15.
Ng, Vincent, Mengyang Cao, Herbert W. Marsh, Louis Tay, & Martin E. P. Seligman. (2016). The factor structure of the Values in Action Inventory of Strengths (VIA-IS): An item-level exploratory structural equation modeling (ESEM) bifactor analysis.. Psychological Assessment. 29(8). 1053–1058. 52 indexed citations
16.
Ng, Vincent, Sang Eun Woo, Louis Tay, & Jeff Foster. (2016). Examining Variability in Values Attributed to Culture. Journal of Cross-Cultural Psychology. 47(7). 981–996. 4 indexed citations
17.
Kuykendall, Lauren, Louis Tay, & Vincent Ng. (2015). Leisure engagement and subjective well-being: A meta-analysis.. Psychological Bulletin. 141(2). 364–403. 361 indexed citations breakdown →

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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