| IRVINE: A design study on analyzing correlation patterns of electrical engines J Eirich, J Bonart, D Jäckle, M Sedlmair, U Schmid, K Fischbach, ... IEEE Transactions on Visualization and Computer Graphics 28 (1), 11-21, 2021 | 36 | 2021 |
| Aristotle said “happiness is a state of activity”—Predicting mood through body sensing with Smartwatches PA Gloor, AF Colladon, F Grippa, P Budner, J Eirich Journal of Systems Science and Systems Engineering 27, 586-612, 2018 | 34 | 2018 |
| " Making you happy makes me happy"--Measuring Individual Mood with Smartwatches P Budner, J Eirich, PA Gloor arXiv preprint arXiv:1711.06134, 2017 | 27 | 2017 |
| Dynamically adapting the environment for elderly people through smartwatch-based mood detection A Capodieci, P Budner, J Eirich, P Gloor, L Mainetti Collaborative Innovation Networks: Building Adaptive and Resilient …, 2018 | 14 | 2018 |
| VIMA: Modeling and visualization of high dimensional machine sensor data leveraging multiple sources of domain knowledge J Eirich, D Jäckle, T Schreck, J Bonart, O Posegga, K Fischbach 2020 Visualization in Data Science (VDS), 22-31, 2020 | 9 | 2020 |
| RfX: a design study for the interactive exploration of a random forest to enhance testing procedures for electrical engines J Eirich, M Münch, D Jäckle, M Sedlmair, J Bonart, T Schreck Computer Graphics Forum 41 (6), 302-315, 2022 | 5 | 2022 |
| Identification of anomalies in highly-integrated electric drives by secondary excitation mechanisms JAE Bonart, J Eirich, P Hümmer, WG Drossel 2021 IEEE 13th International Symposium on Diagnostics for Electrical …, 2021 | 5 | 2021 |
| Visual Analytics in Organizational Knowledge Creation: a Case Study. J Eirich, D Jäckle, S Werrlich, T Schreck ECIS, 2021 | 5 | 2021 |
| “No Pain No Gain”: Predicting Creativity Through Body Signals L Sun, PA Gloor, M Stein, J Eirich, Q Wen Digital Transformation of Collaboration: Proceedings of the 9th …, 2020 | 5 | 2020 |
| The Life Cycle of Data Labels in Organizational Learning: a Case Study of the Automotive Industry. J Eirich, D Fischer-Preßler ECIS, 2022 | 4 | 2022 |
| Manex: The visual analysis of measurements for the assessment of errors in electrical engines J Eirich, G Koutroulis, B Mutlu, D Jäckle, R Kern, T Schreck, J Bernard IEEE computer graphics and applications 42 (2), 68-80, 2022 | 3 | 2022 |
| Künstliche Intelligenz: Anwendungen und Werkzeuge in der Automobilindustrie A Luckow, J Eirich, K Demtröder Künstliche Intelligenz und Data Science in Theorie und Praxis: Von …, 2023 | 2 | 2023 |
| ManuKnowVis: How to Support Different User Groups in Contextualizing and Leveraging Knowledge Repositories J Eirich, D Jäckle, M Sedlmair, C Wehner, U Schmid, J Bernard, T Schreck IEEE Transactions on Visualization and Computer Graphics, 2023 | 2 | 2023 |
| Visual Analytics for IoT Data From Large-Scale Manufacturing Processes. J Eirich AMCIS, 2022 | 1 | 2022 |
| Scalable data analytics from predevelopment to large scale manufacturing H Heimes, A Kampker, U Bührer, A Steinberger, J Eirich, S Krotil 2019 Asia Pacific Conference on Research in Industrial and Systems …, 2019 | 1 | 2019 |
| Automotive & Manufacturing J Eirich, A Luckow, K Demtröder Künstliche Intelligenz und Data Science in Theorie und Praxis: Von …, 2023 | | 2023 |
| The Creation, Formalization, and Transfer of Expert Knowledge with Visual Analytics in Industrial Manufacturing Processes of Electrical Vehicles J Eirich Otto-Friedrich-Universität Bamberg, Fakultät Wirtschaftsinformatik und …, 2023 | | 2023 |
| VDS 2020 A Crisan, B Fiore-Gartland, M Tory, S Das, A Endert, J Eirich, D Jäckle, ... | | |
Dominik JäckleBMW GroupVerified email at bmw.de
