Maya Yankelevich

547 total citations
7 papers, 381 citations indexed

About

Maya Yankelevich is a scholar working on Organizational Behavior and Human Resource Management, Sociology and Political Science and Social Psychology. According to data from OpenAlex, Maya Yankelevich has authored 7 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Organizational Behavior and Human Resource Management, 3 papers in Sociology and Political Science and 2 papers in Social Psychology. Recurrent topics in Maya Yankelevich's work include Job Satisfaction and Organizational Behavior (3 papers), Psychology of Social Influence (2 papers) and Ethics in Business and Education (1 paper). Maya Yankelevich is often cited by papers focused on Job Satisfaction and Organizational Behavior (3 papers), Psychology of Social Influence (2 papers) and Ethics in Business and Education (1 paper). Maya Yankelevich collaborates with scholars based in United States. Maya Yankelevich's co-authors include Patricia B. Barger, Charlotte Fritz, Scott Highhouse, Michael J. Zickar, Dalia L. Diab, Michael A. Gillespie, Ashley M. Guidroz and Jennifer Z. Gillespie and has published in prestigious journals such as Journal of Applied Psychology, Journal of Vocational Behavior and Stress and Health.

In The Last Decade

Maya Yankelevich

7 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maya Yankelevich United States	6	177	164	138	83	54	7	381
Greg A. Chung‐Yan Canada	8	169 1.0×	133 0.8×	165 1.2×	76 0.9×	40 0.7×	16	390
Ashley Elizabeth Hardin United States	6	226 1.3×	154 0.9×	118 0.9×	56 0.7×	114 2.1×	10	450
Steven S. Russell United States	4	195 1.1×	154 0.9×	126 0.9×	73 0.9×	71 1.3×	6	467
Heike Heidemeier Germany	9	163 0.9×	170 1.0×	90 0.7×	46 0.6×	62 1.1×	21	404
Marta Roczniewska Poland	12	199 1.1×	145 0.9×	87 0.6×	144 1.7×	77 1.4×	46	433
Kan Ouyang China	8	251 1.4×	155 0.9×	121 0.9×	37 0.4×	37 0.7×	15	341
Hadar Nesher Shoshan Germany	6	134 0.8×	111 0.7×	119 0.9×	60 0.7×	61 1.1×	14	373
Matthew T. Luth United States	7	123 0.7×	104 0.6×	50 0.4×	66 0.8×	40 0.7×	11	369
Stephanie V. Rohdieck United States	4	157 0.9×	109 0.7×	179 1.3×	22 0.3×	41 0.8×	10	342
Hudson Sessions United States	10	194 1.1×	126 0.8×	148 1.1×	30 0.4×	34 0.6×	17	343

Countries citing papers authored by Maya Yankelevich

Since Specialization

Citations

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

Fields of papers citing papers by Maya Yankelevich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maya Yankelevich

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

All Works

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7 of 7 papers shown

1.

Yankelevich, Maya, et al.. (2011). General Job Stress: A Unidimensional Measure and Its Non‐linear Relations with Outcome Variables. Stress and Health. 28(2). 137–148. 32 indexed citations

2.

Diab, Dalia L., et al.. (2011). Lay Perceptions of Selection Decision Aids in US and Non-US Samples. International Journal of Selection and Assessment. 19(2). 209–216. 81 indexed citations

3.

Fritz, Charlotte, et al.. (2010). Happy, healthy, and productive: The role of detachment from work during nonwork time.. Journal of Applied Psychology. 95(5). 977–983. 196 indexed citations

4.

Highhouse, Scott, Michael J. Zickar, & Maya Yankelevich. (2010). Would you work if you won the lottery? Tracking changes in the American work ethic.. Journal of Applied Psychology. 95(2). 349–357. 59 indexed citations

5.

Yankelevich, Maya. (2010). Attitudes Toward Holistic and Mechanical Judgment in Employee Selection: Role of Error Rate and False Positive and False Negative Error. OhioLink ETD Center (Ohio Library and Information Network). 1 indexed citations

6.

Guidroz, Ashley M., Maya Yankelevich, Patricia B. Barger, Michael A. Gillespie, & Michael J. Zickar. (2009). Practical considerations for creating and using organizational survey norms: Lessons from two long-term projects.. Consulting psychology journal. 61(2). 85–102. 5 indexed citations

7.

Zickar, Michael J., et al.. (2006). Remembering Donald G. Paterson: Before the separation between industrial–organizational and vocational psychology. Journal of Vocational Behavior. 70(1). 205–221. 7 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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