| Digital Twins in agriculture: challenges and opportunities for environmental sustainability W Purcell, T Neubauer, K Mallinger Current Opinion in Environmental Sustainability 61, 101252, 2023 | 83 | 2023 |
| Combining fractional derivatives and machine learning: A review S Raubitzek, K Mallinger, T Neubauer Entropy 25 (1), 35, 2022 | 22 | 2022 |
| Farmers’ perspectives of the benefits and risks in precision livestock farming in the EU pig and poultry sectors I Kopler, U Marchaim, IE Tikász, S Opaliński, E Kokin, K Mallinger, ... Animals 13 (18), 2868, 2023 | 21 | 2023 |
| Responsible AI in Farming: A Multi-Criteria Framework for Sustainable Technology Design K Mallinger, R Baeza-Yates Applied Sciences 14 (1), 437, 2024 | 11 | 2024 |
| Scaling exponents of time series data: a machine learning approach S Raubitzek, L Corpaci, R Hofer, K Mallinger Entropy 25 (12), 1671, 2023 | 11 | 2023 |
| The global iron industry and the Anthropocene K Mallinger, M Mergili The Anthropocene Review 9 (1), 52-70, 2022 | 10 | 2022 |
| Systemic design requirements for sustainable Digital Twins in precision livestock farming K Mallinger, W Purcell, T Neubauer # PLACEHOLDER_PARENT_METADATA_VALUE#, 718-725, 2022 | 10 | 2022 |
| On the applicability of quantum machine learning S Raubitzek, K Mallinger Entropy 25 (7), 992, 2023 | 9 | 2023 |
| Potential threats of human digital twins for digital sovereignty and the sustainable development goals K Mallinger, A Schatten, G Sendera, M Klemen, AM Tjoa UN IATT Report, 2021 | 7 | 2021 |
| Autocatalytic Sets and Assembly Theory: A Toy Model Perspective S Raubitzek, A Schatten, P König, E Marica, S Eresheim, K Mallinger Entropy 26 (9), 808, 2024 | 5 | 2024 |
| Current applications and potential future directions of reinforcement learning-based Digital Twins in agriculture G Goldenits, K Mallinger, S Raubitzek, T Neubauer Smart Agricultural Technology, 100512, 2024 | 5 | 2024 |
| Potentials and limitations of complexity research for environmental sciences and modern farming applications K Mallinger, S Raubitzek, T Neubauer, S Lade Current Opinion in Environmental Sustainability 67, 101429, 2024 | 4 | 2024 |
| Unsupervised and supervised machine learning approach to assess user readiness levels for precision livestock farming technology adoption in the pig and poultry industries K Mallinger, L Corpaci, T Neubauer, IE Tikász, T Banhazi Computers and Electronics in Agriculture 213, 108239, 2023 | 4 | 2023 |
| Facilitating PLF technology adoption in the pig and poultry industries T Banhazi, A Banhazi, IE Tikasz, S Palotay, K Mallinger, T Neubauer, ... Studies in Agricultural Economics 126, 2024 | 3 | 2024 |
| Modeling obfuscation stealth through code complexity S Schrittwieser, E Wimmer, K Mallinger, P Kochberger, C Lawitschka, ... European symposium on research in computer security, 392-408, 2023 | 3 | 2023 |
| A survey of pig and poultry farmers’ readiness and attitudes towards smart technologies IE Tikasz, C Bálint, G Király, CA Gron Sorensen, S Opalinski, ... | 3 | 2023 |
| Nachhaltige Digitale Zwillinge in der Landwirtschaft T Neubauer, A Bauer, J Heurix, M Iwersen, K Mallinger, AM Manschadi, ... Zeitschrift für Hochschulentwicklung 19, 2024 | 2 | 2024 |
| Conditions of applying advanced information technologies in livestock farming IE Tikász, G Király, C Bálint, S Opalinsky, CAG Sorensen, S Gunnarsson, ... Proceedings of the XL CIOSTA and CIGR Section V International Conference …, 2023 | 2 | 2023 |
| Quantum inspired kernel matrices: Exploring symmetry in machine learning S Raubitzek, S Schrittwieser, A Schatten, K Mallinger Physics Letters A 525, 129895, 2024 | 1 | 2024 |
| Obfuscation undercover: Unraveling the impact of obfuscation layering on structural code patterns S Raubitzek, S Schrittwieser, E Wimmer, K Mallinger Journal of Information Security and Applications 85, 103850, 2024 | 1 | 2024 |