| Organizational decision-making structures in the age of artificial intelligence YR Shrestha, SM Ben-Menahem, G Von Krogh California management review 61 (4), 66-83, 2019 | 585 | 2019 |
| Augmenting Organizational Decision-Making with Deep Learning Algorithms: Principles, Promises, and Challenges YR Shrestha, V Krishna, G von Krogh Journal of Business Research 123, 588-603, 2021 | 178 | 2021 |
| Algorithm-supported induction for building theory: How can we use prediction models to theorize? YR Shrestha, VF He, P Puranam, G von Krogh Organization Science 32 (3), 856-880, 2021 | 116* | 2021 |
| Fairness in algorithmic decision-making: Applications in multi-winner voting, machine learning, and recommender systems YR Shrestha, Y Yang Algorithms 12 (9), 199, 2019 | 62 | 2019 |
| Bringing artificial intelligence to business management S Feuerriegel, YR Shrestha, G von Krogh, C Zhang Nature Machine Intelligence 4, 611-613, 2022 | 59 | 2022 |
| Resolving governance disputes in communities: A study of software license decisions VF He, P Puranam, YR Shrestha, G von Krogh Strategic Management Journal 41, 1837-1868, 2020 | 44 | 2020 |
| Human and Al Ensembles: When Can They Work? V Choudhary, A Marchetti, YR Shrestha, P Puranam Journal of Management, 2023 | 35* | 2023 |
| Adversarial Learning for Debiasing Knowledge Graph Embeddings M Arduini, L Noci, F Pirovano, C Zhang, YR Shrestha, B Paudel MLG at KDD Conference 2020. The 16th International Workshop on Mining and …, 2020 | 33 | 2020 |
| A Deep Learning Pipeline for Patient Diagnosis Prediction Using Electronic Health Records L Franz, YR Shrestha, B Paudel BioKDD at KDD Conference 2020. The 19th International Workshop on Data …, 2020 | 32 | 2020 |
| Artificial Intelligence in Strategizing: Prospects and Challenges G von Krogh, S Ben-Menahem, YR Shrestha Strategic Management: State of the Field and Its Future, 2021 | 15 | 2021 |
| How Hard Is Bribery with Distance Restrictions? Y Yang, YR Shrestha, J Guo ECAI: 22nd European Conference on Artificial Intelligence, 363-371, 2016 | 13 | 2016 |
| Parameterized complexity of edge interdiction problems J Guo, YR Shrestha Computing and Combinatorics: 20th International Conference, COCOON 2014 …, 2014 | 13 | 2014 |
| Towards Automatic Bias Detection in Knowledge Graphs D Keidar, M Zhong, C Zhang, YR Shrestha, B Paudel Empirical Methods in Natural Language Processing (EMNLP 2021), 2021 | 10 | 2021 |
| When Does Schwartz Conjecture Hold? M Mnich, YR Shrestha, Y Yang Proc. of the 24th International Joint Conference on Artificial Intelligence …, 2015 | 9 | 2015 |
| Building Open-Source AI YR Shrestha, G von Krogh, S Feuerriegel Nature Computational Science, 2023 | 7 | 2023 |
| Healthcare hackathons as open innovation CH Park, G von Krogh, M Meboldt, C Stadtfeld, YR Shrestha Nature Reviews Bioengineering, 2023 | 6 | 2023 |
| On the complexity of bribery with distance restrictions Y Yang, YR Shrestha, J Guo Theoretical Computer Science 760, 55-71, 2019 | 6 | 2019 |
| On the kernelization of split graph problems Y Yang, YR Shrestha, W Li, J Guo Theoretical Computer Science, 2018 | 6 | 2018 |
| How Hard is Bribery in Party Based Elections? Y Yang, YR Shrestha, J Guo Proceedings of the 2015 International Conference on Autonomous Agents and …, 2015 | 5 | 2015 |
| How Does Your Labor Force React to COVID-19?: Employing Social Media Analytics for Preemptive Decision Making. P Tinguely, YR Shrestha, G von Krogh California Management Review Insights, 2020 | 4 | 2020 |
Georg von KroghProfessor, ETH Zurich在 ethz.ch 的电子邮件经过验证
