Linda Schweitzer

2.9k total citations · 1 hit paper
27 papers, 1.8k citations indexed

About

Linda Schweitzer is a scholar working on Sociology and Political Science, Gender Studies and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Linda Schweitzer has authored 27 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Sociology and Political Science, 8 papers in Gender Studies and 7 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Linda Schweitzer's work include Gender Diversity and Inequality (7 papers), Job Satisfaction and Organizational Behavior (6 papers) and Work-Family Balance Challenges (5 papers). Linda Schweitzer is often cited by papers focused on Gender Diversity and Inequality (7 papers), Job Satisfaction and Organizational Behavior (6 papers) and Work-Family Balance Challenges (5 papers). Linda Schweitzer collaborates with scholars based in Canada, United States and Australia. Linda Schweitzer's co-authors include Seán Lyons, Eddy S. Ng, Lisa Kuron, Linda Duxbury, Michael J. Urick, Bruno D. Zumbo, David R. Thomas, Ernest Kwan, Dianna L. Stone and Pauline Stanton and has published in prestigious journals such as Sustainability, Business Horizons and Multivariate Behavioral Research.

In The Last Decade

Linda Schweitzer

26 papers receiving 1.6k citations

Hit Papers

New Generation, Great Exp... 2010 2026 2015 2020 2010 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Linda Schweitzer Canada 18 775 448 375 266 261 27 1.8k
Stacy M. Campbell United States 13 913 1.2× 742 1.7× 767 2.0× 266 1.0× 235 0.9× 23 2.8k
H. Jack Walker United States 22 1.4k 1.8× 588 1.3× 485 1.3× 119 0.4× 315 1.2× 35 2.3k
Monica L. Forret United States 19 962 1.2× 694 1.5× 470 1.3× 521 2.0× 476 1.8× 26 2.1k
Valerie I. Sessa United States 17 620 0.8× 404 0.9× 425 1.1× 315 1.2× 422 1.6× 46 1.6k
Adelina Broadbridge United Kingdom 25 758 1.0× 665 1.5× 197 0.5× 280 1.1× 589 2.3× 57 1.9k
Elaine C. Hollensbe United States 14 1.3k 1.6× 1.0k 2.3× 474 1.3× 86 0.3× 381 1.5× 26 2.3k
Jyotsna Bhatnagar India 24 1.7k 2.1× 401 0.9× 415 1.1× 144 0.5× 179 0.7× 63 2.4k
John E. Barbuto United States 26 1.5k 2.0× 437 1.0× 906 2.4× 407 1.5× 171 0.7× 91 2.8k
Sally A. Carless Australia 19 1.6k 2.1× 535 1.2× 789 2.1× 276 1.0× 404 1.5× 39 2.8k
Flávia Cavazotte Brazil 15 916 1.2× 566 1.3× 444 1.2× 160 0.6× 114 0.4× 58 2.1k

Countries citing papers authored by Linda Schweitzer

Since Specialization
Citations

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

Fields of papers citing papers by Linda Schweitzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linda Schweitzer

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

All Works

20 of 20 papers shown
1.
Ng, Eddy S., Pauline Stanton, Greg J. Bamber, et al.. (2025). Megatrends affecting the world of work: Implications for human resource management. Personnel Review. 54(5). 1113–1149.
2.
Schweitzer, Linda, et al.. (2025). Working where we want: The role of work arrangement fit in work-related and personal wellbeing. Journal of Management & Organization. 31(6). 2660–2678. 2 indexed citations
3.
Schweitzer, Linda, et al.. (2024). A tale of two generations: a time-lag study of career expectations. Personnel Review. 53(7). 1649–1665. 13 indexed citations
4.
Schweitzer, Linda, et al.. (2023). Career Sustainability: Framing the Past to Adapt in the Present for a Sustainable Future. Sustainability. 15(15). 11800–11800. 16 indexed citations
5.
Schweitzer, Linda, et al.. (2022). ‘Well, actually’: investigating mansplaining in the modern workplace. Journal of Management & Organization. 30(6). 1790–1808. 5 indexed citations
6.
Lyons, Seán, et al.. (2021). Career expectations of international and domestic students in Canada. International Journal for Educational and Vocational Guidance. 23(1). 77–96. 4 indexed citations
7.
Ng, Eddy S., Seán Lyons, & Linda Schweitzer. (2018). Generational Career Shifts. 8 indexed citations
8.
Ng, Eddy S., Seán Lyons, & Linda Schweitzer. (2018). Generational Career Shifts: How Matures, Boomers, Gen Xers, and Millennials View Work. ResearchOnline at James Cook University (James Cook University). 5 indexed citations
9.
Kuron, Lisa, Linda Schweitzer, Seán Lyons, & Eddy S. Ng. (2016). Career profiles in the “new career”: evidence of their prevalence and correlates. Career Development International. 21(4). 355–377. 26 indexed citations
10.
Lyons, Seán & Linda Schweitzer. (2016). A Qualitative Exploration of Generational Identity: Making Sense of Young and Old in the Context of Today’s Workplace. Work Aging and Retirement. waw024–waw024. 38 indexed citations
11.
Lyons, Seán, Linda Schweitzer, & Eddy S. Ng. (2015). How have careers changed? An investigation of changing career patterns across four generations. Journal of Managerial Psychology. 30(1). 8–21. 192 indexed citations
12.
Lyons, Seán, Linda Schweitzer, & Eddy S. Ng. (2015). Resilience in the modern career. Career Development International. 20(4). 363–383. 85 indexed citations
13.
Kuron, Lisa, Seán Lyons, Linda Schweitzer, & Eddy S. Ng. (2015). Millennials’ work values: differences across the school to work transition. Personnel Review. 44(6). 991–1009. 130 indexed citations
14.
Lyons, Seán, Michael J. Urick, Lisa Kuron, & Linda Schweitzer. (2015). Generational Differences in the Workplace: There Is Complexity Beyond the Stereotypes. Industrial and Organizational Psychology. 8(3). 346–356. 57 indexed citations
15.
Thomas, David R., Bruno D. Zumbo, Ernest Kwan, & Linda Schweitzer. (2014). On Johnson's (2000) Relative Weights Method for Assessing Variable Importance: A Reanalysis. Multivariate Behavioral Research. 49(4). 329–338. 26 indexed citations
16.
Lyons, Seán, Eddy S. Ng, & Linda Schweitzer. (2014). Changing Demographics and the Shifting Nature of Careers. Human Resource Development Review. 13(2). 181–206. 37 indexed citations
17.
Lyons, Seán, Eddy S. Ng, & Linda Schweitzer. (2012). Managing the New Workforce: International Perspectives on the Millennial Generation. Academy of Management Proceedings. 2012(1). 10638–10638. 58 indexed citations
18.
Lyons, Seán, Linda Schweitzer, Eddy S. Ng, & Lisa Kuron. (2012). Comparing apples to apples. Career Development International. 17(4). 333–357. 77 indexed citations
19.
Schweitzer, Linda, Eddy S. Ng, Seán Lyons, & Lisa Kuron. (2011). Exploring the Career Pipeline: Gender Differences in Pre-Career Expectations. Relations industrielles. 66(3). 422–444. 48 indexed citations
20.
Schweitzer, Linda, et al.. (2010). The Impact of Recession on IT Recruitment and Retention. The International Journal of Knowledge Culture and Change Management Annual Review. 10(4). 99–108. 1 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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