Scott Parrigon

1.0k total citations
10 papers, 628 citations indexed

About

Scott Parrigon is a scholar working on Social Psychology, Experimental and Cognitive Psychology and Health. According to data from OpenAlex, Scott Parrigon has authored 10 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Social Psychology, 4 papers in Experimental and Cognitive Psychology and 2 papers in Health. Recurrent topics in Scott Parrigon's work include Psychological Well-being and Life Satisfaction (3 papers), Mental Health Research Topics (3 papers) and Cultural Differences and Values (2 papers). Scott Parrigon is often cited by papers focused on Psychological Well-being and Life Satisfaction (3 papers), Mental Health Research Topics (3 papers) and Cultural Differences and Values (2 papers). Scott Parrigon collaborates with scholars based in United States and Canada. Scott Parrigon's co-authors include Sang Eun Woo, Louis Tay, Andrew T. Jebb, Tong Wang, Cassondra Batz-Barbarich, Lauren Kuykendall, James M. LeBreton, Qiming Huang, Caitlin M. Porter and Brent Jesiek and has published in prestigious journals such as Journal of Personality and Social Psychology, Journal of Personality and Perspectives on Psychological Science.

In The Last Decade

Scott Parrigon

10 papers receiving 604 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Scott Parrigon United States	8	186	123	118	94	78	10	628
David L. McLain United States	11	190 1.0×	150 1.2×	111 0.9×	85 0.9×	102 1.3×	13	774
Shing-On Leung Macao	4	175 0.9×	168 1.4×	57 0.5×	107 1.1×	68 0.9×	6	831
Phill Gagné United States	10	153 0.8×	115 0.9×	103 0.9×	135 1.4×	45 0.6×	20	775
Alyce M. Dickinson United States	22	220 1.2×	101 0.8×	66 0.6×	59 0.6×	114 1.5×	49	1.1k
Amery D. Wu Canada	15	232 1.2×	199 1.6×	115 1.0×	241 2.6×	87 1.1×	37	1.1k
Kulraj Singh United States	7	191 1.0×	180 1.5×	101 0.9×	103 1.1×	250 3.2×	9	756
Dev K. Dalal United States	16	204 1.1×	199 1.6×	104 0.9×	192 2.0×	218 2.8×	36	932
Sanjay Mishra India	14	134 0.7×	294 2.4×	66 0.6×	53 0.6×	186 2.4×	51	927
Adam Beatty United States	12	182 1.0×	100 0.8×	109 0.9×	73 0.8×	255 3.3×	25	694
William Wood United States	10	252 1.4×	173 1.4×	51 0.4×	65 0.7×	92 1.2×	36	640

Countries citing papers authored by Scott Parrigon

Since Specialization

Citations

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

Fields of papers citing papers by Scott Parrigon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Parrigon

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

All Works

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10 of 10 papers shown

Jesiek, Brent, Sang Eun Woo, Scott Parrigon, & Caitlin M. Porter. (2020). Development of a situational judgment test for global engineering competency. Journal of Engineering Education. 109(3). 470–490. 18 indexed citations

Vaziri, Hoda, Louis Tay, Scott Parrigon, Norman M. Bradburn, & James O. Pawelski. (2019). STEM or Humanities? Toward a Balance of Interest Fit. Frontiers in Education. 4. 2 indexed citations

Woo, Sang Eun, Andrew T. Jebb, Louis Tay, & Scott Parrigon. (2018). Putting the “Person” in the Center. Organizational Research Methods. 21(4). 814–845. 195 indexed citations

Tay, Louis, et al.. (2017). Data on Display. APS observer. 30(3). 1 indexed citations

Parrigon, Scott, Sang Eun Woo, Louis Tay, & Tong Wang. (2016). CAPTION-ing the situation: A lexically-derived taxonomy of psychological situation characteristics.. Journal of Personality and Social Psychology. 112(4). 642–681. 120 indexed citations

Porter, Caitlin M., Scott Parrigon, Sang Eun Woo, Rachel Saef, & Louis Tay. (2016). Cultural and Intellectual Openness Differentially Relate to Social Judgments of Potential Work Partners. Journal of Personality. 85(5). 632–642. 9 indexed citations

Jebb, Andrew T., Scott Parrigon, & Sang Eun Woo. (2016). Exploratory data analysis as a foundation of inductive research. Human Resource Management Review. 27(2). 265–276. 151 indexed citations

Tay, Louis, Cassondra Batz-Barbarich, Scott Parrigon, & Lauren Kuykendall. (2016). Debt and Subjective Well-being: The Other Side of the Income-Happiness Coin. Journal of Happiness Studies. 18(3). 903–937. 102 indexed citations

Tay, Louis, Scott Parrigon, Qiming Huang, & James M. LeBreton. (2016). Graphical Descriptives. Perspectives on Psychological Science. 11(5). 692–701. 22 indexed citations

10.

Batz-Barbarich, Cassondra, Scott Parrigon, & Louis Tay. (2015). The Impact of Scale Transformations on National Subjective Well-Being Scores. Social Indicators Research. 129(1). 13–27. 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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