| Effects of a cut-off in feed-in tariffs on photovoltaic capacity: Evidence fromGermany C Leepa, M Unfried Energy Policy 56, 536-542, 2013 | 79 | 2013 |
| Dynamic facial expression of emotion and observer inference KR Scherer, H Ellgring, A Dieckmann, M Unfried, M Mortillaro Frontiers in psychology 10, 433041, 2019 | 50 | 2019 |
| Towards robust real-time valence recognition from facial expressions for market research applications JU Garbas, T Ruf, M Unfried, A Dieckmann 2013 Humaine Association Conference on Affective Computing and Intelligent …, 2013 | 41 | 2013 |
| On trust in honesty and volunteering among Europeans: Cross-country evidence on perceptions and behavior A Dieckmann, V Grimm, M Unfried, V Utikal, L Valmasoni European Economic Review 90, 225-253, 2016 | 28* | 2016 |
| Investigating appraisal-driven facial expression and inference in emotion communication. KR Scherer, A Dieckmann, M Unfried, H Ellgring, M Mortillaro Emotion 21 (1), 73, 2021 | 22 | 2021 |
| Writ large on your face: Observing emotions using automatic facial analysis A Dieckmann, M Unfried NIM Marketing Intelligence Review 6 (1), 52-58, 2014 | 11* | 2014 |
| Automatic estimation of action unit intensities and inference of emotional appraisals D Seuss, T Hassan, A Dieckmann, M Unfried, KR Scherer, M Mortillaro, ... IEEE Transactions on Affective Computing 14 (2), 1188-1200, 2021 | 8 | 2021 |
| Automatic multi-lingual arousal detection from voice applied to real product testing applications F Eyben, M Unfried, G Hagerer, B Schuller 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 6 | 2017 |
| Ethical textile consumption: Only a question of selflessness? R Frank, M Unfried, R Schreder, A Dieckmann NIM Marketing Intelligence Review 8 (1), 52-58, 2016 | 3 | 2016 |
| Improving signal detection in software-based facial expression analysis M Unfried, M Iwanczok GfK Verein Working Paper Series, 2016 | 3* | 2016 |
| How Price Regulation affects Quality in a Mixed Oligopoly: The Hospital Sector M Unfried Working Paper, 2012 | 3 | 2012 |
| How valid are response-time measures for capturing implicit brand attitudes? A Dieckmann, M Unfried, R Schreder, K Kissel Editorial]. Working Paper Series, 7, 2018 | 2 | 2018 |
| The AI‐augmented crowd: How human crowdvoters adopt AI (or not) E Freisinger, M Unfried, S Schneider Journal of Product Innovation Management, 2023 | 1 | 2023 |
| The Next Frontier in Intelligent Augmentation: Human-Machine Collaboration in Strategic Marketing Decision-Making N Hesel, F Buder, M Unfried NIM Marketing Intelligence Review 14 (2), 49-53, 2022 | 1 | 2022 |
| Better product labels for better consumer choices B Stoltenberg, M Unfried, V Manewitsch NIM Marketing Intelligence Review 14 (1), 49-53, 2022 | 1 | 2022 |
| The adoption of algorithmic decision-making agents over time: algorithm aversion as a temporary effect? E Freisinger, M Unfried, S Schneider | 1 | 2022 |
| What Drives the Acceptance of Algo-rithms in Decision Situations E Freisinger, M Unfried NIM Research Report, 2021 | 1 | 2021 |
| Confusion can improve cognitive performance: An experimental study using automatic facial expression analysis L Blum, A Dieckmann, M Unfried NIM Working Paper Series, 2020 | 1 | 2020 |
| Debias By Design: A Leader's Guide to Thinking Errors & Better Decision Making MJ Eppler, C Muntwiler, F Buder, M Unfried Universität St. Gallen-Institut für Medien-und Kommunikationsmanagement, 2023 | | 2023 |
| How the past and the present shape decisions for the future: Making better innovation decisions under threat M Zürn, F Buder, M Unfried NIM Research Report, 2023 | | 2023 |
Marcello MortillaroSenior Scientist, Swiss Center for Affective Sciences, University of GenevaVerified email at unige.ch
