| Lead time prediction in a flow-shop environment with analytical and machine learning approaches D Gyulai, A Pfeiffer, G Nick, V Gallina, W Sihn, L Monostori IFAC-PapersOnLine 51 (11), 1029-1034, 2018 | 105 | 2018 |
| 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 | 67 | 2019 |
| Industry 4.0 readiness in manufacturing: Company Compass 2.0, a renewed framework and solution for Industry 4.0 maturity assessment G Nick, T Kovács, A Kő, B Kádár Procedia Manufacturing 54, 39-44, 2021 | 51 | 2021 |
| How to measure industry 4.0 readiness of cities G Nick, F Pongrácz Industry 4.0 1 (2), 136-140, 2016 | 40 | 2016 |
| Non-comparative, Industry 4.0 readiness evaluation for manufacturing enterprises ZJ Viharos, S Soós, GA Nick, T Várgedő, RJ Beregi | 33 | 2017 |
| Interpretation of disruptive innovation in the era of smart cities of the fourth industrial revolution G Nick, F Pongrácz, E Radács Deturope-The Central European Journal of Regional Development and Tourism 10 …, 2018 | 29 | 2018 |
| Innováció–a fenntartható növekedés kulcsa Magyarországon F Pongrácz, GA Nick Közgazdasági szemle 64 (7-8), 723-737, 2017 | 21 | 2017 |
| Zászlón a digitalizáció-Ipar 4.0 I Fülep, GA Nick, T Várgedő Új magyar közigazgatás 11 (2), 45-55, 2018 | 18 | 2018 |
| 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 | 17 | 2019 |
| 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 | 16 | 2019 |
| 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 | 15 | 2021 |
| 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 | 13 | 2021 |
| 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 | 12 | 2022 |
| 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 | 11 | 2020 |
| 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 |
| Az Ipar 4.0 hazai adaptációjának kihívásai a vállalati és területi összefüggések tükrében G Nick Doktori értekezés). Győr: SZIE. https://rgdi. sze. hu/images/RGDI …, 2018 | 8 | 2018 |
| Industry 4.0 from the aspect of logistics innovations I Pesti, GA Nick Retreived from: http://ersa. sk/Zbornik/files/Pesti_Nick. pdf, last accessed …, 2017 | 8 | 2017 |
| Két régió–két eltérő út: a német feldolgozóipari kis-és középvállalatok fejlődése B Páger, S Kovács, GA Nick Területi Statisztika: a Központi Statisztikai Hivatal folyóirata 59 (2), 129-151, 2019 | 7 | 2019 |
| A company compass 2.0: Ipar 4.0 érettségi modell és alkalmazásának tapasztalatai G Nick, T Kovács, A Kő Vezetéstudomány-Budapest Management Review 54 (1), 52-65, 2023 | 6 | 2023 |
| Correlation between European Smart Cities and Regional Competitiveness GA Nick Industry 4.0 1 (1), 59-63, 2016 | 6 | 2016 |
Dr. Viharos Zsolt JánosInstitute for Computer Science and Control在 sztaki.mta.hu 的电子邮件经过验证
