Anikó Maráz

2.4k total citations · 1 hit paper
26 papers, 1.6k citations indexed

About

Anikó Maráz is a scholar working on Clinical Psychology, Marketing and Sociology and Political Science. According to data from OpenAlex, Anikó Maráz has authored 26 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Clinical Psychology, 7 papers in Marketing and 6 papers in Sociology and Political Science. Recurrent topics in Anikó Maráz's work include Gambling Behavior and Treatments (7 papers), Consumer Retail Behavior Studies (7 papers) and Personality Disorders and Psychopathology (6 papers). Anikó Maráz is often cited by papers focused on Gambling Behavior and Treatments (7 papers), Consumer Retail Behavior Studies (7 papers) and Personality Disorders and Psychopathology (6 papers). Anikó Maráz collaborates with scholars based in Hungary, Germany and United Kingdom. Anikó Maráz's co-authors include Zsolt Demetrovics, Mark D. Griffiths, Orsolya Király, Ágnes Zsila, Cecilie Schou Andreassen, Fanni Bányai, Zsuzsanna Elekes, Róbert Urbán, Dénes Tóth and Bálint Andó and has published in prestigious journals such as PLoS ONE, Scientific Reports and Addiction.

In The Last Decade

Anikó Maráz

26 papers receiving 1.5k citations

Hit Papers

Problematic Social Media Use: Results from a Large-Scale ... 2017 2026 2020 2023 2017 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
Anikó Maráz Hungary 15 914 587 421 293 268 26 1.6k
Xiujuan Yang China 19 908 1.0× 519 0.9× 298 0.7× 104 0.4× 233 0.9× 27 1.4k
Martha Shaw United States 18 628 0.7× 1.0k 1.7× 338 0.8× 132 0.5× 156 0.6× 28 1.6k
Yuhui Wang China 18 624 0.7× 497 0.8× 232 0.6× 112 0.4× 123 0.5× 39 1.1k
Adam A. Augustine United States 13 557 0.6× 408 0.7× 183 0.4× 51 0.2× 169 0.6× 23 1.2k
Jia Nie China 19 738 0.8× 308 0.5× 339 0.8× 36 0.1× 165 0.6× 34 1.1k
Qinxue Liu China 17 908 1.0× 310 0.5× 578 1.4× 22 0.1× 217 0.8× 42 1.2k
Fengqiang Gao China 16 527 0.6× 317 0.5× 252 0.6× 31 0.1× 134 0.5× 55 978
Katalin Nagygyörgy Hungary 11 1.1k 1.2× 412 0.7× 558 1.3× 19 0.1× 193 0.7× 12 1.3k
Daniel Kardefelt‐Winther United Kingdom 7 1.8k 1.9× 544 0.9× 761 1.8× 24 0.1× 358 1.3× 9 2.0k
Lauren A. Jelenchick United States 15 1.2k 1.4× 286 0.5× 640 1.5× 23 0.1× 414 1.5× 21 1.7k

Countries citing papers authored by Anikó Maráz

Since Specialization
Citations

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

Fields of papers citing papers by Anikó Maráz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anikó Maráz

This figure shows the co-authorship network connecting the top 25 collaborators of Anikó Maráz. A scholar is included among the top collaborators of Anikó Maráz 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 Anikó Maráz. Anikó Maráz 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.
Maráz, Anikó & Sunghwan Yi. (2022). Compulsive buying gradually increased during the first six months of the Covid-19 outbreak. Journal of Behavioral Addictions. 11(1). 88–101. 13 indexed citations
2.
Yi, Sunghwan, et al.. (2022). Emotion-focused coping mediates the relationship between COVID-related distress and compulsive buying. PLoS ONE. 17(9). e0274458–e0274458. 6 indexed citations
3.
Demetrovics, Zsolt, Wim van den Brink, Borbála Paksi, Zsolt Horváth, & Anikó Maráz. (2022). Relating Compulsivity and Impulsivity With Severity of Behavioral Addictions: A Dynamic Interpretation of Large-Scale Cross-Sectional Findings. Frontiers in Psychiatry. 13. 831992–831992. 23 indexed citations
4.
Unoka, Zsolt, et al.. (2022). The Inventory of Personality Organization: A valid instrument to detect the severity of personality dysfunction. Frontiers in Psychiatry. 13. 995726–995726. 8 indexed citations
5.
Maráz, Anikó, et al.. (2021). Potentially addictive behaviours increase during the first six months of the Covid-19 pandemic. Journal of Behavioral Addictions. 10(4). 912–919. 14 indexed citations
6.
Janka, Zoltán, et al.. (2020). Different aspects of impulsivity in chronic alcohol use disorder with and without comorbid problem gambling. PLoS ONE. 15(1). e0227645–e0227645. 14 indexed citations
7.
Urbán, Róbert, Bernadette Kun, Borbála Paksi, et al.. (2019). A Four-Factor Model of Work Addiction: The Development of the Work Addiction Risk Test Revised. European Addiction Research. 25(3). 145–160. 16 indexed citations
8.
Bányai, Fanni, Ágnes Zsila, Orsolya Király, et al.. (2017). Problematic Social Media Use: Results from a Large-Scale Nationally Representative Adolescent Sample. PLoS ONE. 12(1). e0169839–e0169839. 674 indexed citations breakdown →
9.
Király, Orsolya, Dénes Tóth, Róbert Urbán, Zsolt Demetrovics, & Anikó Maráz. (2017). Intense video gaming is not essentially problematic.. Psychology of Addictive Behaviors. 31(7). 807–817. 133 indexed citations
11.
Demetrovics, Zsolt, et al.. (2017). Multiplicity: An Explorative Interview Study on Personal Experiences of People with Multiple Selves. Frontiers in Psychology. 8. 938–938. 16 indexed citations
12.
Richman, Mara J., et al.. (2017). Decision making measured by the Iowa Gambling Task in alcohol use disorder and gambling disorder: a systematic review and meta-analysis. Drug and Alcohol Dependence. 181. 152–161. 91 indexed citations
14.
Maráz, Anikó, et al.. (2017). Pathological grooming: Evidence for a single factor behind trichotillomania, skin picking and nail biting. PLoS ONE. 12(9). e0183806–e0183806. 39 indexed citations
15.
Maráz, Anikó, Róbert Urbán, & Zsolt Demetrovics. (2016). Borderline personality disorder and compulsive buying: A multivariate etiological model. Addictive Behaviors. 60. 117–123. 9 indexed citations
16.
Maráz, Anikó, et al.. (2016). The two-faceted nature of impulsivity in patients with borderline personality disorder and substance use disorder. Drug and Alcohol Dependence. 163. 48–54. 24 indexed citations
17.
Maráz, Anikó, Orsolya Király, Róbert Urbán, Mark D. Griffiths, & Zsolt Demetrovics. (2015). Why Do You Dance? Development of the Dance Motivation Inventory (DMI). PLoS ONE. 10(3). e0122866–e0122866. 44 indexed citations
18.
Maráz, Anikó, Wim van den Brink, & Zsolt Demetrovics. (2015). Prevalence and construct validity of compulsive buying disorder in shopping mall visitors. Psychiatry Research. 228(3). 918–924. 47 indexed citations
19.
Maráz, Anikó, Róbert Urbán, Mark D. Griffiths, & Zsolt Demetrovics. (2015). An Empirical Investigation of Dance Addiction. PLoS ONE. 10(5). e0125988–e0125988. 39 indexed citations
20.
Maráz, Anikó, Andrea Eisinger, Róbert Urbán, et al.. (2014). Measuring compulsive buying behaviour: Psychometric validity of three different scales and prevalence in the general population and in shopping centres. Psychiatry Research. 225(3). 326–334. 68 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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