| Success factors for augmented reality business models N van Kleef, J Noltes, S van der Spoel Study tour Pixel, 1-36, 2010 | 73 | 2010 |
| Predictive analytics for truck arrival time estimation: a field study at a European distribution centre S van der Spoel, C Amrit, J van Hillegersberg International journal of production research 55 (17), 5062-5078, 2017 | 66 | 2017 |
| Process prediction in noisy data sets: a case study in a Dutch hospital S van der Spoel, M van Keulen, C Amrit Data-Driven Process Discovery and Analysis, 60-83, 2013 | 63 | 2013 |
| Prediction instrument development for complex domains S van der Spoel | 10* | 2016 |
| A benchmark for predicting turnaround time for trucks at a container terminal S van der Spoel, CA Amrit, J van Hillegersberg Big Data Interoperability for Enterprises (BDI4E). Workshop, 30-31 March …, 2016 | 4 | 2016 |
| The role of domain analysis in prediction instrument development S van der Spoel, CA Amrit, J van Hillegersberg Big Data Interoperability for Enterprises (BDI4E). Workshop, 30-31 March …, 2016 | 2 | 2016 |
| Outcome and variable prediction for discrete processes: A framework for finding answers to business questions using (process) data S van der Spoel | | 2012 |
| Reference Modeling of Content Management Processes S van der Spoel | | 2010 |
| I/O Vivat A Spannenburg, BP Laar, M Timmer, S van der Spoel, J Noltes, B Perloy, ... | | 2006 |
| Outcome and variable prediction for discrete processes M van Keulen, C Amrit, ST FinCare, J Laagland, J te Winkel | | |
| Industrial Engineering and Business Information Systems AP Rivera, A Al Hanbali, C Amrit, A Arviansyah, F Aulkemeier, S Behfard, ... | | |
