Ágota Kun

508 total citations
11 papers, 280 citations indexed

About

Ágota Kun is a scholar working on Social Psychology, Clinical Psychology and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Ágota Kun has authored 11 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Social Psychology, 6 papers in Clinical Psychology and 4 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Ágota Kun's work include Psychological Well-being and Life Satisfaction (5 papers), Job Satisfaction and Organizational Behavior (4 papers) and Personality Traits and Psychology (3 papers). Ágota Kun is often cited by papers focused on Psychological Well-being and Life Satisfaction (5 papers), Job Satisfaction and Organizational Behavior (4 papers) and Personality Traits and Psychology (3 papers). Ágota Kun collaborates with scholars based in Hungary, Australia and Singapore. Ágota Kun's co-authors include Péter Balogh, Zsolt Péter Szabó, Yong Wah Goh, Jiang Jiang, Márton Hadarics, Andrea Czibor, Tamás Bereczkei, Shah Ali Murtaza and Edina Molnár and has published in prestigious journals such as Personality and Individual Differences, Current Psychology and International Journal of Cross Cultural Management.

In The Last Decade

Ágota Kun

10 papers receiving 260 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ágota Kun Hungary	7	158	89	83	40	40	11	280
Victoria Mattingly United States	3	185 1.2×	77 0.9×	72 0.9×	25 0.6×	55 1.4×	3	289
Israel Sánchez‐Cardona Puerto Rico	10	104 0.7×	129 1.4×	78 0.9×	47 1.2×	57 1.4×	29	315
Luciana Castelli Switzerland	6	109 0.7×	58 0.7×	70 0.8×	45 1.1×	33 0.8×	20	261
Tingting Fang China	6	103 0.7×	56 0.6×	98 1.2×	41 1.0×	23 0.6×	6	261
Sabina Hodžić France	8	276 1.7×	100 1.1×	107 1.3×	63 1.6×	60 1.5×	12	411
Liman Pang China	6	98 0.6×	58 0.7×	73 0.9×	37 0.9×	23 0.6×	7	262
Estíbaliz Villardefrancos Spain	11	127 0.8×	42 0.5×	154 1.9×	44 1.1×	68 1.7×	16	425
Scott N. Taylor United States	6	132 0.8×	105 1.2×	58 0.7×	15 0.4×	25 0.6×	8	250
Anna Paolillo Italy	10	163 1.0×	62 0.7×	100 1.2×	47 1.2×	24 0.6×	14	298
Mahira Ganster United States	6	90 0.6×	75 0.8×	45 0.5×	34 0.8×	101 2.5×	9	240

Countries citing papers authored by Ágota Kun

Since Specialization

Citations

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

Fields of papers citing papers by Ágota Kun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ágota Kun

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

All Works

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11 of 11 papers shown

Kun, Ágota, et al.. (2024). A vezetők kiemelt szerepe a munkavállalók munkahelyi kudarcélményének pozitív erőforrásként való azonosításában. Magyar Pszichológiai Szemle. 79(3). 553–572.

Goh, Yong Wah, et al.. (2024). The influence of perceived social support on support seeking across individualistic/collectivistic employees. International Journal of Cross Cultural Management. 24(1). 185–205. 4 indexed citations

Murtaza, Shah Ali, Ágota Kun, & Edina Molnár. (2023). Importance of wellbeing strategies at the workplace. 13(2). 146–159. 1 indexed citations

Szabó, Zsolt Péter, et al.. (2022). The Relationship Between Assessment Centre Outcomes and Personality Traits. Periodica Polytechnica Social and Management Sciences. 31(2). 178–185. 1 indexed citations

Kun, Ágota, et al.. (2022). Exploring differences in the subjective well-being of teleworkers prior to and during the pandemic. International Journal of Workplace Health Management. 15(3). 320–338. 16 indexed citations

Szabó, Zsolt Péter, et al.. (2021). Dark and Strong?! The associations between dark personality traits, mental toughness and resilience in Hungarian student, employee, leader, and military samples. Personality and Individual Differences. 186. 111339–111339. 20 indexed citations

Goh, Yong Wah, et al.. (2021). Be happy to be successful: a mediational model of PERMA variables. Asia Pacific Journal of Human Resources. 60(3). 632–657. 14 indexed citations

Szabó, Zsolt Péter, et al.. (2021). Development of the hungarian version of the short dark triad questionnaire (SD3-HU): psychometric properties and validity. Current Psychology. 42(14). 11628–11645. 7 indexed citations

Kun, Ágota, et al.. (2019). Workplace happiness, well-being and their relationship with psychological capital: A study of Hungarian Teachers. Current Psychology. 41(1). 185–199. 155 indexed citations

10.

Kun, Ágota, et al.. (2017). Boldogság tényezők a pedagógusok munkájában. Magyar Pszichológiai Szemle. 72(3). 281–310. 7 indexed citations

11.

Kun, Ágota, et al.. (2016). Development of the Work-Related Well-Being Questionnaire Based on Seligman’s PERMA Model. Periodica Polytechnica Social and Management Sciences. 25(1). 56–56. 55 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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