Maèva Flayelle

1.7k total citations · 1 hit paper
27 papers, 838 citations indexed

About

Maèva Flayelle is a scholar working on Sociology and Political Science, Literature and Literary Theory and Clinical Psychology. According to data from OpenAlex, Maèva Flayelle has authored 27 papers receiving a total of 838 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Sociology and Political Science, 12 papers in Literature and Literary Theory and 10 papers in Clinical Psychology. Recurrent topics in Maèva Flayelle's work include Impact of Technology on Adolescents (20 papers), Media Influence and Health (12 papers) and Digital Marketing and Social Media (5 papers). Maèva Flayelle is often cited by papers focused on Impact of Technology on Adolescents (20 papers), Media Influence and Health (12 papers) and Digital Marketing and Social Media (5 papers). Maèva Flayelle collaborates with scholars based in Switzerland, Luxembourg and Belgium. Maèva Flayelle's co-authors include Joël Billieux, Pierre Maurage, Claus Vögele, Hans‐Jürgen Rumpf, Dan J. Stein, Laurent Karila, Damien Brevers, José C. Perales, Natale Canale and Daniel L. King and has published in prestigious journals such as Computers in Human Behavior, Addiction and Addictive Behaviors.

In The Last Decade

Maèva Flayelle

24 papers receiving 806 citations

Hit Papers

A taxonomy of technology design features that promote pot... 2023 2026 2024 2025 2023 25 50 75

Peers

Maèva Flayelle
Irene I. van Driel Netherlands
Anja Stević Austria
Hui-Tzu Grace Chou United States
Helmut Appel Germany
Maèva Flayelle
Citations per year, relative to Maèva Flayelle Maèva Flayelle (= 1×) peers Maxime Résibois

Countries citing papers authored by Maèva Flayelle

Since Specialization
Citations

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

Fields of papers citing papers by Maèva Flayelle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maèva Flayelle

This figure shows the co-authorship network connecting the top 25 collaborators of Maèva Flayelle. A scholar is included among the top collaborators of Maèva Flayelle 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 Maèva Flayelle. Maèva Flayelle 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.
Flayelle, Maèva, et al.. (2025). Renewing the assessment of behavioral addictions is necessary to avoid pathologizing nonproblematic behaviors: Commentary on Grubbs and Boness (2025).. Journal of Psychopathology and Clinical Science. 134(6). 615–616.
2.
Flayelle, Maèva, et al.. (2025). How does on-demand streaming technology promote binge-watching? An exploration and classification of streaming platform design features.. Psychology of Popular Media. 15(1). 62–71. 1 indexed citations
4.
Elkholy, Hussien, et al.. (2024). Mental health and binge-watching behavior among university students in Egypt. Middle East Current Psychiatry. 31(1).
5.
Vanderplasschen, Wouter, et al.. (2024). Group-Based Interventions for Adolescents with Gaming Disorder or Problematic Gaming Behavior: A Systematic Review. Current Addiction Reports. 11(3). 551–564. 3 indexed citations
6.
Starčević, Vladan, Adriano Schimmenti, Yasser Khazaal, et al.. (2023). Predictors of Cyberchondria During the COVID-19 Pandemic: Cross-sectional Study Using Supervised Machine Learning. JMIR Formative Research. 7. e42206–e42206. 8 indexed citations
7.
Flayelle, Maèva, Damien Brevers, Daniel L. King, et al.. (2023). A taxonomy of technology design features that promote potentially addictive online behaviours. Nature Reviews Psychology. 2(3). 136–150. 85 indexed citations breakdown →
8.
Schimmenti, Adriano, Alessandro Musetti, Valentina Boursier, et al.. (2023). Further evidence for the bidimensionality of the components model of addiction: a reply to Amendola (2023). Addictive Behaviors. 150. 107914–107914. 6 indexed citations
9.
Santoro, Gianluca, Joël Billieux, Vladan Starčević, et al.. (2023). Psychometric Properties of the Multidimensional Assessment of Covid-19-Related Fears (MAC-RF) in French-Speaking Healthcare Professionals and Community Adults. SERVAL (Université de Lausanne). 3(1). 1 indexed citations
10.
Billieux, Joël, et al.. (2023). Thinking beyond cut-off scores in the assessment of potentially addictive behaviors: A brief illustration in the context of binge-watching. Journal of Behavioral Addictions. 12(2). 303–308. 8 indexed citations
11.
Schimmenti, Adriano, Alessandro Musetti, Valentina Boursier, et al.. (2023). Deconstructing the components model of addiction: an illustration through “addictive” use of social media. Addictive Behaviors. 143. 107694–107694. 48 indexed citations
12.
Billieux, Joël, et al.. (2022). Negative Affect and Problematic Binge-Watching: The Mediating Role of Unconstructive Ruminative Thinking Style. Psychologica Belgica. 62(1). 272–285. 7 indexed citations
13.
Sigre‐Leirós, Vera, Joël Billieux, Christine Möhr, et al.. (2022). Binge-watching in times of COVID-19: A longitudinal examination of changes in affect and TV series consumption patterns during lockdown.. Psychology of Popular Media. 12(2). 173–185. 19 indexed citations
14.
Castro‐Calvo, Jesús, et al.. (2022). Rumination Across Internet Use Disorders (IUDs): a Systematic Review. Current Addiction Reports. 9(4). 540–570. 11 indexed citations
15.
Castro‐Calvo, Jesús, Maèva Flayelle, José C. Perales, et al.. (2022). Compulsive Sexual Behavior Disorder should not be classified by solely relying on component/symptomatic features •. Journal of Behavioral Addictions. 11(2). 210–215. 20 indexed citations
16.
Boursier, Valentina, Alessandro Musetti, Francesca Gioia, et al.. (2021). Is Watching TV Series an Adaptive Coping Strategy During the COVID-19 Pandemic? Insights From an Italian Community Sample. Frontiers in Psychiatry. 12. 599859–599859. 33 indexed citations
17.
Flayelle, Maèva, et al.. (2020). Non‐problematic and problematic binge‐watchers do not differ on prepotent response inhibition: A preregistered pilot experimental study. Human Behavior and Emerging Technologies. 2(3). 259–268. 17 indexed citations
18.
Flayelle, Maèva, Pierre Maurage, Laurent Karila, Claus Vögele, & Joël Billieux. (2019). Overcoming the unitary exploration of binge-watching: A cluster analytical approach. Journal of Behavioral Addictions. 8(3). 586–602. 45 indexed citations
19.
Flayelle, Maèva, Vladan Starčević, & Joël Billieux. (2019). Beyond Information Overload and Stress: A Plea to Acknowledge the Complexity of Problematic Internet Use and Consider Individualized Intervention Strategies. Open Repository and Bibliography (University of Luxembourg). 15(1). 72–73. 5 indexed citations
20.
Flayelle, Maèva, Pierre Maurage, Claus Vögele, Laurent Karila, & Joël Billieux. (2018). Time for a plot twist: Beyond confirmatory approaches to binge-watching research.. Psychology of Popular Media Culture. 8(3). 308–318. 42 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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