Tina Kowalski

420 total citations
10 papers, 289 citations indexed

About

Tina Kowalski is a scholar working on General Health Professions, Sociology and Political Science and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Tina Kowalski has authored 10 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in General Health Professions, 3 papers in Sociology and Political Science and 3 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Tina Kowalski's work include Employment and Welfare Studies (7 papers), Workplace Health and Well-being (5 papers) and Job Satisfaction and Organizational Behavior (3 papers). Tina Kowalski is often cited by papers focused on Employment and Welfare Studies (7 papers), Workplace Health and Well-being (5 papers) and Job Satisfaction and Organizational Behavior (3 papers). Tina Kowalski collaborates with scholars based in United Kingdom and United States. Tina Kowalski's co-authors include Wendy Loretto, Chris Archer‐Brown, Ben Marder, Thomas Calvard, Rowena Jacobs, Martin Chalkley, Sarah Vickerstaff, Tom Redman, Lavinia Mitton and Philip J. White and has published in prestigious journals such as International Journal of Nursing Studies, The International Journal of Human Resource Management and Human Resource Management Journal.

In The Last Decade

Tina Kowalski

9 papers receiving 274 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tina Kowalski United Kingdom	7	124	112	98	70	52	10	289
Qin Xu China	7	124 1.0×	69 0.6×	125 1.3×	68 1.0×	59 1.1×	9	326
Michael Halinski Canada	12	136 1.1×	102 0.9×	185 1.9×	81 1.2×	37 0.7×	24	360
Amália Raquel Pérez-Nebra Brazil	9	86 0.7×	84 0.8×	71 0.7×	70 1.0×	26 0.5×	51	268
Militza Callinan United Kingdom	7	95 0.8×	68 0.6×	38 0.4×	88 1.3×	56 1.1×	7	280
Katharina Klug Germany	13	214 1.7×	187 1.7×	62 0.6×	99 1.4×	52 1.0×	22	400
Helge Hvid Denmark	10	99 0.8×	198 1.8×	119 1.2×	59 0.8×	33 0.6×	47	391
Mehwish Majeed Pakistan	9	184 1.5×	49 0.4×	90 0.9×	88 1.3×	63 1.2×	15	288
Ana M. Lucia‐Casademunt Spain	11	138 1.1×	54 0.5×	118 1.2×	113 1.6×	21 0.4×	26	326
Cheryl E. Gray United States	6	136 1.1×	89 0.8×	191 1.9×	99 1.4×	23 0.4×	16	313
Michael Lippstreu United States	7	172 1.4×	37 0.3×	53 0.5×	60 0.9×	83 1.6×	8	299

Countries citing papers authored by Tina Kowalski

Since Specialization

Citations

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

Fields of papers citing papers by Tina Kowalski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tina Kowalski

This figure shows the co-authorship network connecting the top 25 collaborators of Tina Kowalski. A scholar is included among the top collaborators of Tina Kowalski 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 Tina Kowalski. Tina Kowalski 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

Chalkley, Martin, et al.. (2020). The impact of extending nurse working hours on staff sickness absence: Evidence from a large mental health hospital in England. International Journal of Nursing Studies. 112. 103611–103611. 25 indexed citations

Kowalski, Tina, et al.. (2020). The impact of extended shifts on strain‐based work–life conflict: A qualitative analysis of the role of context on temporal processes of retroactive and anticipatory spillover. Human Resource Management Journal. 31(2). 514–531. 8 indexed citations

Kowalski, Tina, et al.. (2020). The impact of moving to a 12h shift pattern on employee wellbeing: A qualitative study in an acute mental health setting. International Journal of Nursing Studies. 112. 103699–103699. 15 indexed citations

Archer‐Brown, Chris, Ben Marder, Thomas Calvard, & Tina Kowalski. (2018). Hybrid social media: employees’ use of a boundary‐spanning technology. New Technology Work and Employment. 33(1). 74–93. 29 indexed citations

Kowalski, Tina & Wendy Loretto. (2017). Well-being and HRM in the changing workplace. The International Journal of Human Resource Management. 28(16). 2229–2255. 172 indexed citations

Marder, Ben, et al.. (2015). The normalization of social media as a workplace tool. Academy of Management Proceedings. 2015(1). 18397–18397. 1 indexed citations

Kowalski, Tina, Wendy Loretto, & Tom Redman. (2014). Special Issue ofInternational Journal of Human Resource Management: Well-being and HRM in the changing workplace. The International Journal of Human Resource Management. 26(1). 123–126. 12 indexed citations

Kowalski, Tina & Wendy Loretto. (2014). Pitfalls in implementing workplace wellbeing policies and practices: lessons from a research case study. 1 indexed citations

Kowalski, Tina. (2012). Exploring the Contribution of Work and Non-Work Sources of Social Support to Employee Well-being: A Mixed Methods Case Study. PsycEXTRA Dataset.

10.

Loretto, Wendy, et al.. (2008). Encouraging Labour market Activity among 60-64 year olds. Kent Academic Repository (University of Kent). 26 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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