| Industry 4.0 readiness in Hungary: model, and the first results in connection to data application G Nick, Á Szaller, J Bergmann, T Várgedő IFAC-PapersOnLine 52 (13), 289-294, 2019 | 59 | 2019 |
| Synergy of multi-modelling for process control R Beregi, Á Szaller, B Kádár IFAC-PapersOnLine 51 (11), 1023-1028, 2018 | 35 | 2018 |
| Trust-based resource sharing mechanism in distributed manufacturing Á Szaller, P Egri, B Kádár International Journal of Computer Integrated Manufacturing 33 (1), 1-21, 2020 | 23 | 2020 |
| The territorial contexts of Industry 4.0 in Hungary, the present and future challenges and expectations of the digital ecosystem GA Nick, T Várgedő, C Nagy, Á Szaller DETUROPE: Central European Journal of Tourism and Regional Development 11 (3 …, 2019 | 15 | 2019 |
| Simulation-based flexible layout planning considering stochastic effects D Gyulai, Á Szaller, ZJ Viharos Procedia CIRP 57, 177-182, 2016 | 15 | 2016 |
| Industry 4.0 in Germany, Austria and Hungary: interpretation, strategies and readiness models GA Nick, V Gallina, Á Szaller, T Várgedő, A Schumacher International Measurement Confederation (IMEKO), 2019 | 14 | 2019 |
| A mutualistic framework for sustainable capacity sharing in manufacturing Á Szaller, G Pedone, P Egri, Á Szalóki, G Nick Procedia CIRP 93, 938-943, 2020 | 11 | 2020 |
| First results of a survey on manufacturing of the future C Fries, M Fechter, G Nick, Á Szaller, T Bauernhansl Procedia Computer Science 180, 142-149, 2021 | 10 | 2021 |
| Platform and direct exchange-based mechanisms for resource sharing in distributed manufacturing: a comparison Á Szaller, B Kádár CIRP Annals 70 (1), 407-410, 2021 | 8 | 2021 |
| CCMS Model: A novel approach to digitalization level assessment for manufacturing companies G Nick, Á Szaller, T Várgedő Proceedings of the 16th European Conference on Management, Leadership and …, 2020 | 8 | 2020 |
| A two-step digitalization level assessment approach for manufacturing companies G Schuh, T Scheuer, G Nick, Á Szaller, T Várgedő Procedia Manufacturing 54, 25-30, 2021 | 7 | 2021 |
| Industry 4.0 readiness in Hungary: Model, and the first results in connection to data application. IFAC-PapersOnLine, 52 (13), 289-294 G Nick, Á Szaller, J Bergmann, T Várgedő | 5 | 2019 |
| Maturity model for ai in smart production planning and control system E Colangelo, C Fries, TF Hinrichsen, Á Szaller, G Nick Procedia CIRP 107, 493-498, 2022 | 4 | 2022 |
| Intelligent production of the future–first results of a survey G Nick, Á Szaller, V Zsolt János, T Várgedő, D Bányai, C Fries, M Fechter 17th IMEKO TC 10 and EUROLAB Virtual Conference:“Global Trends in Testing …, 2020 | 4 | 2020 |
| Reducing remanufacturing uncertainties with the digital product passport V Gallina, B Gal, Á Szaller, D Bachlechner, A Ilie Zudor LECTURE NOTES IN MECHANICAL ENGINEERING 2023, 60-67, 2023 | 3 | 2023 |
| Production log data analysis for reject rate prediction and workload estimation A Pfeiffer, D Gyulai, Á Szaller, L Monostori 2018 Winter Simulation Conference (WSC), 3364-3374, 2018 | 3 | 2018 |
| Real-time prediction of manufacturing lead times in complex production environments Á Szaller, F Béres, É Piller, D Gyulai, A Pfeiffer, A Benczúr | 2 | 2018 |
| Financial aspects of a trust-based resource sharing platform Á Szaller, C Fries, B Kádár CIRP Journal of Manufacturing Science and Technology 43, 88-105, 2023 | 1 | 2023 |
| Extension of the CCMS 2.0 maturity model towards Artificial Intelligence G Nick, A Kő, Á Szaller, K Zeleny, B Kádár, T Kovács IFAC-PapersOnLine 55 (10), 293-298, 2022 | 1 | 2022 |
| Effect of lead time prediction accuracy in trust-based resource sharing Á Szaller, B Kádár IFAC-PapersOnLine 54 (1), 1126-1131, 2021 | 1 | 2021 |
