| Blockchains for business process management-challenges and opportunities J Mendling, I Weber, WVD Aalst, JV Brocke, C Cabanillas, F Daniel, ... ACM Transactions on Management Information Systems (TMIS) 9 (1), 1-16, 2018 | 978 | 2018 |
| The internet-of-things meets business process management: mutual benefits and challenges C Janiesch, A Koschmider, M Mecella, B Weber, A Burattin, CD Ciccio, ... CoRR, 2017 | 303* | 2017 |
| Comparative analysis of approximate blocking techniques for entity resolution G Papadakis, J Svirsky, A Gal, T Palpanas Proceedings of the VLDB Endowment 9 (9), 684-695, 2016 | 202 | 2016 |
| A framework for modeling and evaluating automatic semantic reconciliation A Gal, A Anaby-Tavor, A Trombetta, D Montesi The VLDB Journal 14, 50-67, 2005 | 178 | 2005 |
| Managing uncertainty in schema matching with top-k schema mappings A Gal Journal on Data Semantics VI, 90-114, 2006 | 148 | 2006 |
| The biggest business process management problems to solve before we die I Beerepoot, C Di Ciccio, HA Reijers, S Rinderle-Ma, W Bandara, ... Computers in Industry 146, 103837, 2023 | 145 | 2023 |
| Heterogeneous Stream Processing and Crowdsourcing for Urban Traffic Management. A Artikis, M Weidlich, F Schnitzler, I Boutsis, T Liebig, N Piatkowski, ... EDBT 14, 712-723, 2014 | 143 | 2014 |
| Queue mining for delay prediction in multi-class service processes A Senderovich, M Weidlich, A Gal, A Mandelbaum Information systems 53, 278-295, 2015 | 142 | 2015 |
| Queue mining–predicting delays in service processes A Senderovich, M Weidlich, A Gal, A Mandelbaum Advanced Information Systems Engineering: 26th International Conference …, 2014 | 141 | 2014 |
| Traveling time prediction in scheduled transportation with journey segments A Gal, A Mandelbaum, F Schnitzler, A Senderovich, M Weidlich Information Systems 64, 266-280, 2017 | 138 | 2017 |
| Goal recognition design S Keren, A Gal, E Karpas Proceedings of the International Conference on Automated Planning and …, 2014 | 137 | 2014 |
| Complex event processing over uncertain data S Wasserkrug, A Gal, O Etzion, Y Turchin Proceedings of the second international conference on Distributed event …, 2008 | 130 | 2008 |
| AI-augmented business process management systems: a research manifesto M Dumas, F Fournier, L Limonad, A Marrella, M Montali, JR Rehse, ... ACM Transactions on Management Information Systems 14 (1), 1-19, 2023 | 129 | 2023 |
| Uncertain schema matching A Gal Morgan & Claypool Publishers, 2011 | 128 | 2011 |
| Automatic ontology matching using application semantics A Gal, G Modica, H Jamil, A Eyal AI magazine 26 (1), 21-21, 2005 | 125 | 2005 |
| The use of machine-generated ontologies in dynamic information seeking G Modica, A Gal, HM Jamil Cooperative Information Systems: 9th International Conference, CoopIS 2001 …, 2001 | 121 | 2001 |
| Why is schema matching tough and what can we do about it? A Gal ACM Sigmod Record 35 (4), 2-5, 2006 | 100 | 2006 |
| Recommendations for enhancing the usability and understandability of process mining in healthcare N Martin, J De Weerdt, C Fernández-Llatas, A Gal, R Gatta, G Ibáñez, ... Artificial Intelligence in Medicine 109, 101962, 2020 | 87 | 2020 |
| The process model matching contest 2015 G Antunes, M Bakhshandeh, J Borbinha, J Cardoso, S Dadashnia, ... GI-Edition: Lecture Notes in Informatics. Proceedings 248, 127-155, 2015 | 87 | 2015 |
| Efficient processing of uncertain events in rule-based systems S Wasserkrug, A Gal, O Etzion, Y Turchin IEEE Transactions on Knowledge and Data Engineering 24 (1), 45-58, 2010 | 87 | 2010 |
Matthias WeidlichHumboldt-Universität zu BerlinVerified email at hu-berlin.de