| Using vital sensors in mobile healthcare business applications: challenges, examples, lessons learned J Schobel, M Schickler, R Pryss, H Nienhaus, M Reichert International Conference on Web Information Systems and Technologies, 509-518, 2013 | 116 | 2013 |
| Location-based mobile augmented reality applications: Challenges, examples, lessons learned P Geiger, M Schickler, R Pryss, J Schobel, M Reichert | 111 | 2014 |
| Towards process-driven mobile data collection applications: requirements, challenges, lessons learned J Schobel, M Schickler, R Pryss, F Maier, M Reichert | 82 | 2014 |
| End-user programming of mobile services: empowering domain experts to implement mobile data collection applications J Schobel, R Pryss, M Schickler, M Ruf-Leuschner, T Elbert, M Reichert 2016 IEEE International Conference on Mobile Services (MS), 1-8, 2016 | 61 | 2016 |
| Process-driven data collection with smart mobile devices J Schobel, M Schickler, R Pryss, M Reichert International Conference on Web Information Systems and Technologies, 347-362, 2014 | 58 | 2014 |
| Entwicklung mobiler Apps: Konzepte, Anwendungsbausteine und Werkzeuge im Business und E-Health M Schickler, M Reichert, R Pryss, J Schobel, W Schlee, B Langguth Springer-Verlag, 2015 | 57 | 2015 |
| Towards flexible mobile data collection in healthcare J Schobel, R Pryss, M Schickler, M Reichert 2016 IEEE 29th International Symposium on Computer-Based Medical Systems …, 2016 | 47 | 2016 |
| Mobile Health App Database-A Repository for Quality Ratings of mHealth Apps M Stach, R Kraft, T Probst, EM Messner, Y Terhorst, H Baumeister, ... 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems …, 2020 | 44 | 2020 |
| Engineering an advanced location-based augmented reality engine for smart mobile devices P Geiger, R Pryss, M Schickler, M Reichert Universität Ulm, 2013 | 41 | 2013 |
| Advanced algorithms for location-based smart mobile augmented reality applications R Pryss, P Geiger, M Schickler, J Schobel, M Reichert Procedia Computer Science 94, 97-104, 2016 | 40 | 2016 |
| Development of mobile data collection applications by domain experts: Experimental results from a usability study J Schobel, R Pryss, W Schlee, T Probst, D Gebhardt, M Schickler, ... International Conference on Advanced Information Systems Engineering, 60-75, 2017 | 38 | 2017 |
| Using mobile serious games in the context of chronic disorders: a mobile game concept for the treatment of tinnitus M Schickler, R Pryss, M Reichert, J Schobel, B Langguth, W Schlee 2016 IEEE 29th International Symposium on Computer-Based Medical Systems …, 2016 | 38 | 2016 |
| A lightweight process engine for enabling advanced mobile applications J Schobel, R Pryss, M Schickler, M Reichert OTM Confederated International Conferences" On the Move to Meaningful …, 2016 | 35 | 2016 |
| A mobile service engine enabling complex data collection applications J Schobel, R Pryss, W Wipp, M Schickler, M Reichert International Conference on Service-Oriented Computing, 626-633, 2016 | 31 | 2016 |
| A configurator component for end-user defined mobile data collection processes J Schobel, R Pryss, M Schickler, M Reichert International Conference on Service-Oriented Computing, 216-219, 2016 | 31 | 2016 |
| A generic questionnaire framework supporting psychological studies with smartphone technologies J Schobel, M Ruf-Leuschner, R Pryss, M Reichert, M Schickler, ... | 31 | 2013 |
| Using wearables in the context of chronic disorders: Results of a pre-study M Schickler, R Pryss, M Reichert, M Heinzelmann, J Schobel, B Langguth, ... 2016 IEEE 29th international symposium on computer-based medical systems …, 2016 | 28 | 2016 |
| Learnability of a configurator empowering end users to create mobile data collection instruments: Usability study J Schobel, R Pryss, T Probst, W Schlee, M Schickler, M Reichert JMIR mHealth and uHealth 6 (6), e9826, 2018 | 27 | 2018 |
| An engine enabling location-based mobile augmented reality applications M Schickler, R Pryss, J Schobel, M Reichert International Conference on Web Information Systems and Technologies, 363-378, 2014 | 26 | 2014 |
| Machine Learning Findings on Geospatial Data of Users from the TrackYourStress mHealth Crowdsensing Platform R Pryss, D John, M Reichert, B Hoppenstedt, L Schmid, W Schlee, ... 2019 IEEE 20th International Conference on Information Reuse and Integration …, 2019 | 21 | 2019 |
Manfred ReichertProfessor of Computer Science, Ulm University, Germany在 uni-ulm.de 的電子郵件地址已通過驗證