| Machine learning operations (MLOps): Overview, definition, and architecture D Kreuzberger, N Kühl, S Hirschl IEEE Access, 2023 | 938 | 2023 |
| Artificial intelligence and machine learning N Kühl, M Schemmer, M Goutier, G Satzger Electronic Markets 32 (4), 2235-2244, 2022 | 247 | 2022 |
| Appropriate Reliance on AI Advice: Conceptualization and the Effect of Explanations M Schemmer, N Kühl, C Benz, A Bartos, G Satzger 🏆 ACM Conference on Intelligent User Interfaces (ACM IUI), 2023 | 238 | 2023 |
| Human-AI Complementarity in Hybrid Intelligence Systems: A Structured Literature Review. P Hemmer, M Schemmer, M Vössing, N Kühl The annual Pacific Asia Conference on Information Systems (PACIS), 2021 | 192 | 2021 |
| Designing transparency for effective human-AI collaboration M Vössing, N Kühl, M Lind, G Satzger Information Systems Frontiers 24 (3), 877-895, 2022 | 168 | 2022 |
| Virtual sensors D Martin, N Kühl, G Satzger Business & Information Systems Engineering 63 (3), 315-323, 2021 | 168 | 2021 |
| Data-Centric Artificial Intelligence J Jakubik, M Vössing, N Kühl, J Walk, G Satzger Business & Information Systems Engineering, 2024 | 138 | 2024 |
| Machine Learning in Artificial Intelligence: Towards a Common Understanding N Kühl, M Goutier, R Hirt, G Satzger Hawaii International Conference on System Sciences (HICSS-52), 2019 | 138 | 2019 |
| A Meta-Analysis on the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making M Schemmer, P Hemmer, M Nitsche, N Kühl, M Vössing AAAI /ACM Conference on Artificial Intelligence, Ethics and Society (AIES) 2022, 2022 | 127 | 2022 |
| AI-based resource allocation: Reinforcement learning for adaptive auto-scaling in serverless environments L Schuler, S Jamil, N Kühl 2021 IEEE/ACM 21st international symposium on cluster, cloud and internet …, 2021 | 126 | 2021 |
| Supporting customer-oriented marketing with artificial intelligence: automatically quantifying customer needs from social media N Kühl, M Mühlthaler, M Goutier Electronic Markets 30 (2), 351-367, 2020 | 126 | 2020 |
| Should I Follow AI-based Advice? Measuring Appropriate Reliance in Human-AI Decision-Making M Schemmer, P Hemmer, N Kühl, C Benz, G Satzger Thirtieth European Conference on Information Systems (ECIS 2022), 2022 | 118 | 2022 |
| "There Is Not Enough Information": On the Effects of Explanations on Perceptions of Informational Fairness and Trustworthiness in Automated Decision-Making J Schoeffer, N Kuehl, Y Machowski ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT) 2022, 2022 | 105 | 2022 |
| On explanations, fairness, and appropriate reliance in human-AI decision-making J Schoeffer, M De-Arteaga, N Kuehl 🏅 Proceedings of the CHI Conference on Human Factors in Computing Systems …, 2024 | 96 | 2024 |
| Human vs. supervised machine learning: Who learns patterns faster? N Kühl, M Goutier, L Baier, C Wolff, D Martin Cognitive Systems Research, 2022 | 83 | 2022 |
| Complementarity in human-AI collaboration: Concept, sources, and evidence P Hemmer, M Schemmer, N Kühl, M Vössing, G Satzger European Journal of Information Systems, 2025 | 79 | 2025 |
| Deal: Deep evidential active learning for image classification P Hemmer, N Kühl, J Schöffer Deep Learning Applications, Volume 3, 171-192, 2021 | 74 | 2021 |
| A critical survey on fairness benefits of explainable AI L Deck, J Schoeffer, M De-Arteaga, N Kühl Proceedings of the 2024 ACM Conference on Fairness, Accountability, and …, 2024 | 70* | 2024 |
| The Impact of Imperfect XAI on Human-AI Decision-Making K Morrison, P Spitzer, V Turri, M Feng, N Kühl, A Perer Proceedings of the ACM on Human-Computer Interaction (CSCW 2024), 2024 | 66 | 2024 |
| Artificial intelligence for sustainability: Facilitating sustainable smart product-service systems with computer vision J Walk, N Kühl, M Saidani, J Schatte Journal of Cleaner Production 402, 136748, 2023 | 64 | 2023 |
Gerhard SatzgerKarlsruhe Service Research Institute / Institute of Information Systems and Marketing, KITVerified email at kit.edu
