Youssef Shiban

3.2k total citations · 1 hit paper
51 papers, 1.5k citations indexed

About

Youssef Shiban is a scholar working on Experimental and Cognitive Psychology, Social Psychology and Cognitive Neuroscience. According to data from OpenAlex, Youssef Shiban has authored 51 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Experimental and Cognitive Psychology, 16 papers in Social Psychology and 14 papers in Cognitive Neuroscience. Recurrent topics in Youssef Shiban's work include Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (20 papers), Digital Mental Health Interventions (11 papers) and Stress Responses and Cortisol (9 papers). Youssef Shiban is often cited by papers focused on Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (20 papers), Digital Mental Health Interventions (11 papers) and Stress Responses and Cortisol (9 papers). Youssef Shiban collaborates with scholars based in Germany, Canada and United Kingdom. Youssef Shiban's co-authors include Andreas Mühlberger, Julia Diemer, Georg W. Alpers, Paul Pauli, Stefan Wüst, Martin Dechant, S. Brandl, Christian Wolff, Max Kinateder and Bernhard Meyer and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Youssef Shiban

47 papers receiving 1.5k citations

Hit Papers

The impact of perception and presence on emotional reacti... 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
Youssef Shiban Germany 17 582 405 399 395 185 51 1.5k
Julia Diemer Germany 16 586 1.0× 372 0.9× 322 0.8× 337 0.9× 168 0.9× 43 1.4k
Anna Felnhofer Austria 23 492 0.8× 216 0.5× 451 1.1× 258 0.7× 315 1.7× 63 1.6k
Helena Villa Spain 21 528 0.9× 353 0.9× 237 0.6× 343 0.9× 584 3.2× 37 1.6k
Merel Krijn Netherlands 8 995 1.7× 318 0.8× 351 0.9× 407 1.0× 206 1.1× 9 1.6k
Charles A.P.G. van der Mast Netherlands 9 983 1.7× 272 0.7× 326 0.8× 356 0.9× 177 1.0× 19 1.6k
Claudia Repetto Italy 21 594 1.0× 398 1.0× 352 0.9× 398 1.0× 137 0.7× 68 1.7k
Katharina Meyerbröker Netherlands 12 393 0.7× 175 0.4× 165 0.4× 315 0.8× 265 1.4× 23 984
José Vasconcelos-Raposo Portugal 22 475 0.8× 134 0.3× 441 1.1× 154 0.4× 195 1.1× 104 1.3k
Évelyne Klinger France 21 422 0.7× 443 1.1× 195 0.5× 362 0.9× 199 1.1× 45 1.6k
Dan Opdyke United States 7 655 1.1× 269 0.7× 195 0.5× 241 0.6× 226 1.2× 7 1.1k

Countries citing papers authored by Youssef Shiban

Since Specialization
Citations

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

Fields of papers citing papers by Youssef Shiban

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Youssef Shiban

This figure shows the co-authorship network connecting the top 25 collaborators of Youssef Shiban. A scholar is included among the top collaborators of Youssef Shiban 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 Youssef Shiban. Youssef Shiban 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.
Kubota, Naoyuki, et al.. (2025). Hearing emotions: fine-tuning speech emotion recognition models. Reutlingen University Academic Bibliography (Reutlingen University). 18–18.
2.
Fox, J. H., et al.. (2025). Psychological transdiagnostic factors and migraine characteristics as predictors of migraine-related disability. The Journal of Headache and Pain. 26(1). 167–167.
4.
Kubota, Naoyuki, et al.. (2024). Zero-Shot Strike: Testing the generalisation capabilities of out-of-the-box LLM models for depression detection. Computer Speech & Language. 88. 101663–101663. 15 indexed citations
5.
Fox, J. H., et al.. (2024). GPT-4 shows potential for identifying social anxiety from clinical interview data. Scientific Reports. 14(1). 30498–30498. 2 indexed citations
6.
Zhang, Yihong, et al.. (2024). Enhancing early depression detection with AI: a comparative use of NLP models. SHILAP Revista de lepidopterología. 17(1). 135–143. 3 indexed citations
7.
Fox, J. H., et al.. (2024). The impact of fear of attacks on pain‐related disability in cluster headache: Insights from the fear avoidance model. Headache The Journal of Head and Face Pain. 65(1). 45–53. 4 indexed citations
8.
Shiban, Youssef, et al.. (2024). AI-Supported Diagnostic of Depression Using Clinical Interviews: A Pilot Study. Reutlingen University Academic Bibliography (Reutlingen University). 500–507. 3 indexed citations
9.
Shiban, Youssef, et al.. (2023). Computer-Assisted Avatar-Based Treatment for Dysfunctional Beliefs and Eating-Disorder Symptomatology: A Randomized Control Pilot Study. International Journal of Cognitive Therapy. 17(2). 251–278. 1 indexed citations
10.
Riva, Giuseppe, Daniele Di Lernia, Cosimo Tuena, et al.. (2023). A Self-Help Virtual Therapeutic Experience Intervention for Overcoming Psychological Distress Related to the COVID-19 Pandemic: Results From the European Multicentric COVID Feel Good Trial. Psychosomatic Medicine. 85(7). 639–650. 5 indexed citations
11.
Serino, Silvia, Daniele Di Lernia, Cosimo Tuena, et al.. (2022). COVID Feel Good: Evaluation of a Self-Help Protocol to Overcome the Psychological Burden of the COVID-19 Pandemic in a German Sample. Journal of Clinical Medicine. 11(8). 2080–2080. 11 indexed citations
12.
Shiban, Youssef, et al.. (2022). Emotions and emotion up-regulation during the COVID-19 pandemic in Germany. PLoS ONE. 17(1). e0262283–e0262283. 11 indexed citations
13.
Sütterlin, Stefan, et al.. (2021). Psychological Burden During the COVID-19 Pandemic in Germany. Frontiers in Psychology. 12. 640518–640518. 11 indexed citations
14.
Wagner, Arthur, et al.. (2019). Psychological predictors of quality of life and functional outcome in patients undergoing elective surgery for degenerative lumbar spine disease. European Spine Journal. 29(2). 349–359. 17 indexed citations
15.
Pfaller, Michael A., et al.. (2019). Men Scare Me More: Gender Differences in Social Fear Conditioning in Virtual Reality. Frontiers in Psychology. 10. 1617–1617. 29 indexed citations
17.
Diemer, Julia, et al.. (2015). The impact of perception and presence on emotional reactions: a review of research in virtual reality. Frontiers in Psychology. 6. 26–26. 605 indexed citations breakdown →
18.
Shiban, Youssef, et al.. (2015). Effect of combined multiple contexts and multiple stimuli exposure in spider phobia: A randomized clinical trial in virtual reality. Behaviour Research and Therapy. 71. 45–53. 113 indexed citations
19.
Shiban, Youssef, et al.. (2015). Social conditioning and extinction paradigm: a translational study in virtual reality. Frontiers in Psychology. 6. 400–400. 19 indexed citations
20.
Shiban, Youssef, Paul Pauli, & Andreas Mühlberger. (2012). Effect of multiple context exposure on renewal in spider phobia. Behaviour Research and Therapy. 51(2). 68–74. 116 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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