| The effect of interactive analytical dashboard features on situation awareness and task performance M Nadj, A Maedche, C Schieder Decision support systems 135, 113322, 2020 | 73 | 2020 |
| Got flow? Using machine learning on physiological data to classify flow R Rissler, M Nadj, MX Li, MT Knierim, A Maedche Extended abstracts of the 2018 CHI conference on human factors in computing
, 2018 | 36 | 2018 |
| A state-of-the-art overview and future research avenues of self-service business intelligence and analytics S Michalczyk, M Nadj, D Azarfar, A Maedche, C Gröger | 32 | 2020 |
| Flow in information systems research: Review, integrative theoretical framework, and future directions R Rissler, M Nadj, M Adam | 24 | 2017 |
| Towards an integrative theoretical framework of IT-mediated interruptions R Rissler, M Nadj, M Adam, A Maedche | 22 | 2017 |
| Towards an integrative theoretical framework of interactive machine learning systems MA Meza Martínez, M Nadj, A Maedche | 21 | 2019 |
| A Situation Awareness Driven Design for predictive Maintenance Systems: the Case of Oil and gas Pipeline Operations. M Nadj, H Jegadeesan, A Maedche, D Hoffmann, P Erdmann ECIS, 2016 | 20 | 2016 |
| To be or not to be in flow at work: physiological classification of flow using machine learning R Rissler, M Nadj, MX Li, N Loewe, MT Knierim, A Maedche IEEE transactions on affective computing 14 (1), 463-474, 2020 | 19 | 2020 |
| Power to the oracle? design principles for interactive labeling systems in machine learning M Nadj, M Knaeble, MX Li, A Maedche KI-Künstliche Intelligenz 34, 131-142, 2020 | 19 | 2020 |
| Demystifying job roles in data science: a text mining approach S Michalczyk, M Nadj, A Maedche, C Gröger | 17 | 2021 |
| Physio-Adaptive Systems-A State-of-the-Art Review and Future Research Directions. N Loewe, M Nadj ECIS, 2020 | 13 | 2020 |
| Oracle or Teacher? A Systematic Overview of Research on Interactive Labeling for Machine Learning. M Knaeble, M Nadj, A Maedche Wirtschaftsinformatik (Zentrale Tracks), 2-16, 2020 | 11 | 2020 |
| Exploring flow psychophysiology in knowledge work MT Knierim, R Rissler, A Hariharan, M Nadj, C Weinhardt Information Systems and Neuroscience: NeuroIS Retreat 2018, 239-249, 2019 | 9 | 2019 |
| Quo vadis real-time business intelligence? a descriptive literature review and future directions M Nadj, C Schieder | 9 | 2016 |
| Flow Neurophysiology in Knowledge Work: Electroencephalographic Observations from Two Cognitive Tasks. MT Knierim, M Nadj, A Hariharan, C Weinhardt PhyCS, 42-53, 2018 | 7 | 2018 |
| Towards a situation-awareness-driven design of operational business intelligence & analytics systems M Nadj, S Morana, A Maedche Univ. College, CORA, 2015 | 7 | 2015 |
| Towards a Physiological Computing Infrastructure for Researching Students Flow in Remote Learning: Preliminary Results from a Field Study MX Li, M Nadj, A Maedche, D Ifenthaler, J Wöhler Technology, Knowledge and Learning, 1-20, 2022 | 6 | 2022 |
| Situation awareness in aircraft ground handling: the impact of auditory and visual notification cues M Nadj, A Maedche Journal of cognitive engineering and decision making 13 (2), 102-122, 2019 | 6 | 2019 |
| Towards a taxonomy of real-time business intelligence systems M Nadj, C Schieder | 6 | 2017 |
| Flow and Optimal Difficulty in the Portable EEG: On the Potentiality of using Personalized Frequency Ranges for State Detection. MT Knierim, M Nadj, C Weinhardt CHIRA, 183-190, 2019 | 5 | 2019 |
Alexander MaedcheProfessor, human-centered systems lab (h-lab), Karlsruhe Institute of TechnologyPatvirtintas el. paštas kit.edu
