Michael P Schaub

27.0k total citations · 1 hit paper
154 papers, 3.7k citations indexed

About

Michael P Schaub is a scholar working on Applied Psychology, Epidemiology and Clinical Psychology. According to data from OpenAlex, Michael P Schaub has authored 154 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Applied Psychology, 52 papers in Epidemiology and 42 papers in Clinical Psychology. Recurrent topics in Michael P Schaub's work include Digital Mental Health Interventions (56 papers), Substance Abuse Treatment and Outcomes (50 papers) and Behavioral Health and Interventions (35 papers). Michael P Schaub is often cited by papers focused on Digital Mental Health Interventions (56 papers), Substance Abuse Treatment and Outcomes (50 papers) and Behavioral Health and Interventions (35 papers). Michael P Schaub collaborates with scholars based in Switzerland, Germany and Netherlands. Michael P Schaub's co-authors include Severin Haug, Raquel Paz Castro, Tobias Kowatsch, Andreas Filler, Min Jeong Kwon, Larissa J. Maier, David M. Tokar, Andreas Wenger, David Daniel Ebert and Matthias E. Liechti and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Consulting and Clinical Psychology.

In The Last Decade

Michael P Schaub

144 papers receiving 3.5k citations

Hit Papers

Smartphone use and smartphone addiction among young peopl... 2015 2026 2018 2022 2015 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
Michael P Schaub Switzerland 32 1.2k 1.1k 951 679 602 154 3.7k
Severin Haug Switzerland 28 1.1k 0.9× 1.2k 1.1× 720 0.8× 388 0.6× 753 1.3× 110 3.1k
Dana A. Cavallo United States 38 727 0.6× 1.1k 1.0× 1.1k 1.1× 530 0.8× 382 0.6× 92 4.8k
Nancy M. Petry United States 23 712 0.6× 832 0.8× 1.2k 1.3× 1.1k 1.7× 480 0.8× 41 4.2k
Danielle E. Ramo United States 37 997 0.8× 901 0.8× 877 0.9× 1.1k 1.6× 1.0k 1.7× 100 4.4k
Robert D. Dvorak United States 33 2.0k 1.7× 1.4k 1.2× 1.8k 1.9× 990 1.5× 445 0.7× 124 4.9k
Richard A. Miech United States 39 912 0.8× 552 0.5× 1.4k 1.4× 1000 1.5× 1.4k 2.3× 94 6.4k
Nicola C. Newton Australia 34 550 0.5× 869 0.8× 1.9k 2.0× 1.1k 1.6× 1.2k 1.9× 211 4.3k
Michael J. Cleveland United States 26 827 0.7× 465 0.4× 916 1.0× 755 1.1× 584 1.0× 84 2.6k
Janet Audrain‐McGovern United States 40 398 0.3× 1.7k 1.5× 1.2k 1.3× 568 0.8× 852 1.4× 121 7.0k
Tom ter Bogt Netherlands 42 1.5k 1.2× 364 0.3× 1.5k 1.6× 890 1.3× 888 1.5× 117 4.7k

Countries citing papers authored by Michael P Schaub

Since Specialization
Citations

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

Fields of papers citing papers by Michael P Schaub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael P Schaub. 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 Michael P Schaub. The network helps show where Michael P Schaub may publish in the future.

Co-authorship network of co-authors of Michael P Schaub

This figure shows the co-authorship network connecting the top 25 collaborators of Michael P Schaub. A scholar is included among the top collaborators of Michael P Schaub 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 Michael P Schaub. Michael P Schaub 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.
Kiselev, Nikolai, et al.. (2024). Behavioural patterns and dangers: a mixed-methods exploration of simultaneous polysubstance use and intervention strategies among Swiss adolescents. Swiss Medical Weekly. 154(9). 3895–3895. 1 indexed citations
2.
Heim, Eva, Sebastian Burchert, Marco Kaufmann, et al.. (2024). Effect of cultural adaptation of a smartphone-based self-help programme on its acceptability and efficacy: Randomized controlled trial. SHILAP Revista de lepidopterología. 6(2). e2743–e2743. 3 indexed citations
3.
Vedelago, Lana, Michael P Schaub, Sherry H. Stewart, et al.. (2024). Psychometric Validation of the Gambling Craving Scale in a Treatment-Seeking Sample. Journal of Gambling Studies. 40(3). 1761–1778. 1 indexed citations
4.
Schaub, Michael P, et al.. (2023). Treating internet use disorders via the internet? Results of a two-armed randomized controlled trial. Journal of Behavioral Addictions. 12(3). 803–816. 2 indexed citations
5.
Frohlich, Jona R., Karli K. Rapinda, Michael P Schaub, et al.. (2022). Examining differential responses to the Take Care of Me trial: A latent class and moderation analysis. Addictive Behaviors Reports. 16. 100437–100437. 6 indexed citations
6.
Haug, Severin, Nikolaos Boumparis, Andreas Wenger, Michael P Schaub, & Raquel Paz Castro. (2022). Efficacy of a Mobile App-Based Coaching Program for Addiction Prevention among Apprentices: A Cluster-Randomized Controlled Trial. International Journal of Environmental Research and Public Health. 19(23). 15730–15730. 20 indexed citations
7.
Castro, Raquel Paz, Christian Meyer, Hans‐Jürgen Rumpf, et al.. (2022). Präventionsbedarfe und -interessen bei Berufslernenden. Prävention und Gesundheitsförderung. 18(1). 99–110. 4 indexed citations
8.
Bőthe, Beáta, et al.. (2021). Hands-off: Feasibility and preliminary results of a two-armed randomized controlled trial of a web-based self-help tool to reduce problematic pornography use. Journal of Behavioral Addictions. 10(4). 1015–1035. 30 indexed citations
9.
Castro, Raquel Paz, Severin Haug, Rudolf Debelak, et al.. (2021). Engagement With a Mobile Phone–Based Life Skills Intervention for Adolescents and Its Association With Participant Characteristics and Outcomes: Tree-Based Analysis. Journal of Medical Internet Research. 24(1). e28638–e28638. 10 indexed citations
10.
Schaub, Michael P, Marcela Tiburcio, Nora Angélica Martínez-Vélez, et al.. (2021). The Effectiveness of a Web-Based Self-Help Program to Reduce Alcohol Use Among Adults With Drinking Patterns Considered Harmful, Hazardous, or Suggestive of Dependence in Four Low- and Middle-Income Countries: Randomized Controlled Trial. Journal of Medical Internet Research. 23(8). e21686–e21686. 15 indexed citations
11.
Castro, Raquel Paz, et al.. (2021). An adapted smoking-cessation intervention for Turkish-speaking migrants in Switzerland: Predictors of smoking outcomes at one-year follow-up. PLoS ONE. 16(3). e0247157–e0247157. 1 indexed citations
12.
Haug, Severin, Raquel Paz Castro, Andreas Wenger, & Michael P Schaub. (2021). A Mobile Phone–Based Life-Skills Training Program for Substance Use Prevention Among Adolescents: Cluster-Randomized Controlled Trial. JMIR mhealth and uhealth. 9(7). e26951–e26951. 26 indexed citations
13.
Haug, Severin, Raquel Paz Castro, Urte Scholz, et al.. (2020). Assessment of the Efficacy of a Mobile Phone–Delivered Just-in-Time Planning Intervention to Reduce Alcohol Use in Adolescents: Randomized Controlled Crossover Trial. JMIR mhealth and uhealth. 8(5). e16937–e16937. 20 indexed citations
14.
Schaub, Michael P, Anne H. Berman, Hugo López‐Pelayo, et al.. (2020). e-INEBRIA Special Interest Group Roadmap for Best Practices for Research on Brief Digital Interventions for Problematic Alcohol and Illicit Drug Use. Journal of Medical Internet Research. 22(8). e20368–e20368. 8 indexed citations
15.
Schaub, Michael P, Raquel Paz Castro, Andreas Wenger, et al.. (2019). Web-based self-help with and without chat counseling to reduce cocaine use in cocaine misusers: Results of a three-arm randomized controlled trial. Internet Interventions. 17. 100251–100251. 9 indexed citations
16.
Tait, Robert J., et al.. (2019). A Digital Intervention Addressing Alcohol Use Problems (the “Daybreak” Program): Quasi-Experimental Randomized Controlled Trial. Journal of Medical Internet Research. 21(9). e14967–e14967. 21 indexed citations
17.
Frohlich, Jona R., Karli K. Rapinda, Michael P Schaub, et al.. (2018). Efficacy of an Online Self-Help Treatment for Comorbid Alcohol Misuse and Emotional Problems in Young Adults: Protocol for a Randomized Controlled Trial. JMIR Research Protocols. 7(11). e11298–e11298. 14 indexed citations
18.
Castro, Raquel Paz, Severin Haug, Andreas Filler, Tobias Kowatsch, & Michael P Schaub. (2017). Engagement Within a Mobile Phone–Based Smoking Cessation Intervention for Adolescents and its Association With Participant Characteristics and Outcomes. Journal of Medical Internet Research. 19(11). e356–e356. 25 indexed citations
19.
Haug, Severin, Raquel Paz Castro, Christian Meyer, et al.. (2017). A Mobile Phone-Based Life Skills Training Program for Substance Use Prevention Among Adolescents: Pre-Post Study on the Acceptance and Potential Effectiveness of the Program, Ready4life. JMIR mhealth and uhealth. 5(10). e143–e143. 29 indexed citations
20.
Schaub, Michael P, et al.. (2009). Behandlung der Kokainabhängigkeit in der Schweiz : Ausmass und Erfahrung bei der Implementierung von in der internationalen wissenschaftlichen Literatur publizierten Therapieansätzen : Resultate einer Netzwerkumfrage. Zurich Open Repository and Archive (University of Zurich). 2 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026