Johannes Schobel

1.2k total citations
70 papers, 602 citations indexed

About

Johannes Schobel is a scholar working on General Health Professions, Applied Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Johannes Schobel has authored 70 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in General Health Professions, 18 papers in Applied Psychology and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Johannes Schobel's work include Digital Mental Health Interventions (18 papers), Mobile Health and mHealth Applications (17 papers) and Context-Aware Activity Recognition Systems (8 papers). Johannes Schobel is often cited by papers focused on Digital Mental Health Interventions (18 papers), Mobile Health and mHealth Applications (17 papers) and Context-Aware Activity Recognition Systems (8 papers). Johannes Schobel collaborates with scholars based in Germany, Austria and Switzerland. Johannes Schobel's co-authors include Rüdiger Pryss, Manfred Reichert, Winfried Schlee, Thomas Probst, Marc Schickler, Berthold Langguth, Myra Spiliopoulou, Patrick Neff, Thomas Elbert and Johannes Zimmermann and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and IEEE Access.

In The Last Decade

Johannes Schobel

64 papers receiving 584 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Johannes Schobel Germany 14 157 125 122 108 107 70 602
Casey C. Bennett United States 13 145 0.9× 7 0.1× 138 1.1× 70 0.6× 59 0.6× 52 1.1k
Khondaker A. Mamun Bangladesh 15 296 1.9× 23 0.2× 15 0.1× 32 0.3× 31 0.3× 80 780
Mehdi Boukhechba United States 17 59 0.4× 9 0.1× 259 2.1× 69 0.6× 115 1.1× 77 884
Anthony M. Harrison United States 16 127 0.8× 8 0.1× 25 0.2× 43 0.4× 77 0.7× 46 758
Marc Schickler Germany 10 27 0.2× 14 0.1× 66 0.5× 49 0.5× 70 0.7× 34 249
Alessia Paglialonga Italy 15 355 2.3× 195 1.6× 33 0.3× 90 0.8× 18 0.2× 80 776
Simone Benedetto France 12 277 1.8× 17 0.1× 20 0.2× 17 0.2× 61 0.6× 14 935
Yekta Said Can Türkiye 14 223 1.4× 5 0.0× 111 0.9× 47 0.4× 109 1.0× 43 1.0k
Pradeep Buddharaju United States 12 67 0.4× 16 0.1× 35 0.3× 40 0.4× 285 2.7× 20 681
Jan‐Niklas Voigt-Antons Germany 18 422 2.7× 16 0.1× 29 0.2× 65 0.6× 311 2.9× 98 940

Countries citing papers authored by Johannes Schobel

Since Specialization
Citations

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

Fields of papers citing papers by Johannes Schobel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johannes Schobel

This figure shows the co-authorship network connecting the top 25 collaborators of Johannes Schobel. A scholar is included among the top collaborators of Johannes Schobel 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 Johannes Schobel. Johannes Schobel 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.
Holl, Felix, Johannes Schobel, & Walter Swoboda. (2024). Mobile Apps for COVID-19: A Systematic Review of Reviews. Healthcare. 12(2). 139–139. 2 indexed citations
2.
Jordan, Karin, Götz Gelbrich, Rüdiger Pryss, et al.. (2023). A patient survey indicates quality of life and progression-free survival as equally important outcome measures in multiple myeloma clinical trials. Journal of Cancer Research and Clinical Oncology. 149(14). 12897–12902. 3 indexed citations
3.
Holl, Felix, et al.. (2022). Apps for Covid-19 in Germany: assessment using the German Mobile App Rating Scale. JAMIA Open. 5(4). ooac082–ooac082. 3 indexed citations
4.
Schlee, Winfried, Patrick Neff, Jorge Simões, et al.. (2022). Smartphone-Guided Educational Counseling and Self-Help for Chronic Tinnitus. Journal of Clinical Medicine. 11(7). 1825–1825. 7 indexed citations
5.
Schlee, Winfried, et al.. (2021). Medical Device Regulation Efforts for mHealth Apps during the COVID-19 Pandemic—An Experience Report of Corona Check and Corona Health. SHILAP Revista de lepidopterología. 4(2). 206–222. 14 indexed citations
6.
Pryss, Rüdiger, Robin Kraft, Johannes Schobel, et al.. (2021). Interactive System for Similarity-Based Inspection and Assessment of the Well-Being of mHealth Users. Entropy. 23(12). 1695–1695. 1 indexed citations
7.
Pryss, Rüdiger, et al.. (2021). User-centric vs whole-stream learning for EMA prediction. 307–312. 2 indexed citations
8.
Pryss, Rüdiger, et al.. (2020). The Effect of Non-Personalised Tips on the Continued Use of Self-Monitoring mHealth Applications. Brain Sciences. 10(12). 924–924. 8 indexed citations
9.
Crombach, Anselm, et al.. (2020). The cycle of violence as a function of PTSD and appetitive aggression: A longitudinal study with Burundian soldiers. Aggressive Behavior. 46(5). 391–399. 13 indexed citations
10.
Schobel, Johannes, Thomas Probst, Manfred Reichert, et al.. (2020). Measuring Mental Effort for Creating Mobile Data Collection Applications. International Journal of Environmental Research and Public Health. 17(5). 1649–1649. 3 indexed citations
11.
Schobel, Johannes, Thomas Probst, Manfred Reichert, Marc Schickler, & Rüdiger Pryss. (2019). Enabling Sophisticated Lifecycle Support for Mobile Healthcare Data Collection Applications. IEEE Access. 7. 61204–61217. 7 indexed citations
12.
13.
Pryss, Rüdiger, Thomas Probst, Winfried Schlee, et al.. (2018). Prospective crowdsensing versus retrospective ratings of tinnitus variability and tinnitus–stress associations based on the TrackYourTinnitus mobile platform. International Journal of Data Science and Analytics. 8(4). 327–338. 36 indexed citations
14.
Schobel, Johannes, Rüdiger Pryss, Thomas Probst, et al.. (2018). Learnability of a Configurator Empowering End Users to Create Mobile Data Collection Instruments: Usability Study. JMIR mhealth and uhealth. 6(6). e148–e148. 12 indexed citations
15.
Schickler, Marc, et al.. (2017). Towards Flexible Remote Therapeutic Interventions. The International Islamic University Malaysia Repository (The International Islamic University Malaysia). 260–261. 2 indexed citations
16.
Pryss, Rüdiger, Thomas Probst, Winfried Schlee, et al.. (2017). Mobile Crowdsensing for the Juxtaposition of Realtime Assessments and Retrospective Reporting for Neuropsychiatric Symptoms. The International Islamic University Malaysia Repository (The International Islamic University Malaysia). 642–647. 6 indexed citations
17.
Schickler, Marc, Manfred Reichert, Rüdiger Pryss, et al.. (2015). Entwicklung mobiler Apps: Konzepte, Anwendungsbausteine und Werkzeuge im Business und E-Health. Springer eBooks. 2 indexed citations
18.
Schobel, Johannes, Marc Schickler, Rüdiger Pryss, Manfred Reichert, & Thomas Elbert. (2015). A Domain-Specific Framework for Collecting Data in Trials with Smart Mobile Devices. 1 indexed citations
19.
Schickler, Marc, et al.. (2014). Location-based Mobile Augmented Reality Applications - Challenges, Examples, Lessons Learned.. 383–394. 8 indexed citations
20.
Schobel, Johannes, Martina Ruf‐Leuschner, Rüdiger Pryss, et al.. (2013). A generic questionnaire framework supporting psychological studies with smartphone technologies. 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.

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