Rachel Saef

409 total citations
8 papers, 224 citations indexed

About

Rachel Saef is a scholar working on Social Psychology, Clinical Psychology and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Rachel Saef has authored 8 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Social Psychology, 5 papers in Clinical Psychology and 4 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Rachel Saef's work include Personality Traits and Psychology (5 papers), Social and Intergroup Psychology (2 papers) and Cultural Differences and Values (2 papers). Rachel Saef is often cited by papers focused on Personality Traits and Psychology (5 papers), Social and Intergroup Psychology (2 papers) and Cultural Differences and Values (2 papers). Rachel Saef collaborates with scholars based in United States, Australia and Germany. Rachel Saef's co-authors include Sang Eun Woo, Louis Tay, Louis Hickman, Vincent Ng, Nigel Bosch, Caitlin M. Porter, Jordan Carpenter, Christopher W. Wiese, Scott Parrigon and Markus Langer and has published in prestigious journals such as Journal of Applied Psychology, Personality and Individual Differences and Journal of Personality.

In The Last Decade

Rachel Saef

7 papers receiving 216 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rachel Saef United States	6	74	70	59	56	37	8	224
Dave Winsborough United Kingdom	5	86 1.2×	41 0.6×	54 0.9×	66 1.2×	18 0.5×	6	206
Chin Tung Stewart Ng Taiwan	4	88 1.2×	50 0.7×	20 0.3×	74 1.3×	61 1.6×	7	259
Sara Ahmed United Kingdom	3	214 2.9×	83 1.2×	86 1.5×	50 0.9×	23 0.6×	4	295
Eerik Mantere Finland	6	27 0.4×	79 1.1×	83 1.4×	73 1.3×	22 0.6×	11	252
Nicky Terblanche South Africa	10	74 1.0×	37 0.5×	40 0.7×	76 1.4×	81 2.2×	36	315
Matthew Philp Canada	9	60 0.8×	181 2.6×	20 0.3×	52 0.9×	67 1.8×	20	320
Meva Demir Kaya Türkiye	5	16 0.2×	47 0.7×	38 0.6×	68 1.2×	108 2.9×	12	315
Ellie Kyung United States	10	33 0.4×	101 1.4×	11 0.2×	73 1.3×	25 0.7×	19	293
Phillip M. Mangos United States	6	76 1.0×	50 0.7×	62 1.1×	163 2.9×	21 0.6×	8	289
Haozhe Jiang China	9	13 0.2×	44 0.6×	57 1.0×	50 0.9×	32 0.9×	20	368

Countries citing papers authored by Rachel Saef

Since Specialization

Citations

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

Fields of papers citing papers by Rachel Saef

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel Saef

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

All Works

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8 of 8 papers shown

Saef, Rachel, Tine Köhler, & Andrew T. Jebb. (2024). The influence of personality on emotional and behavioral responses to psychological contract breach. Journal of Managerial Psychology. 41(2). 385–405.

Hickman, Louis, Markus Langer, Rachel Saef, & Louis Tay. (2024). Automated speech recognition bias in personnel selection: The case of automatically scored job interviews.. Journal of Applied Psychology. 110(6). 846–858. 5 indexed citations

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

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

Tay, Louis, Sang Eun Woo, Louis Hickman, & Rachel Saef. (2020). Psychometric and Validity Issues in Machine Learning Approaches to Personality Assessment: A Focus on Social Media Text Mining. European Journal of Personality. 34(5). 826–844. 57 indexed citations

Saef, Rachel, Caitlin M. Porter, Sang Eun Woo, & Christopher W. Wiese. (2019). Getting off on the right foot: The role of openness to experience in fostering initial trust between culturally dissimilar partners. Journal of Research in Personality. 79. 176–187. 11 indexed citations

Saef, Rachel, Sang Eun Woo, Jordan Carpenter, & Louis Tay. (2017). Fostering socio-informational behaviors online: The interactive effect of openness to experience and extraversion. Personality and Individual Differences. 122. 93–98. 20 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

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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