| Reconstruction and simulation of neocortical microcircuitry H Markram, E Muller, S Ramaswamy, MW Reimann, M Abdellah, ... Cell 163 (2), 456-492, 2015 | 1483 | 2015 |
| Efficient lineage tracking for scientific workflows T Heinis, G Alonso Proceedings of the 2008 ACM SIGMOD international conference on Management of …, 2008 | 171 | 2008 |
| Design and evaluation of an autonomic workflow engine T Heinis, C Pautasso, G Alonso Second International Conference on Autonomic Computing (ICAC'05), 27-38, 2005 | 96 | 2005 |
| Just-in-time data virtualization: Lightweight data management with ViDa M Karpathiotakis, I Alagiannis, T Heinis, M Branco, A Ailamaki Proceedings of the 7th Biennial Conference on Innovative Data Systems …, 2015 | 83 | 2015 |
| Developing scientific workflows from heterogeneous services A Tsalgatidou, G Athanasopoulos, M Pantazoglou, C Pautasso, T Heinis, ... ACM Sigmod Record 35 (2), 22-28, 2006 | 76 | 2006 |
| TOUCH: in-memory spatial join by hierarchical data-oriented partitioning S Nobari, F Tauheed, T Heinis, P Karras, S Bressan, A Ailamaki Proceedings of the 2013 ACM SIGMOD International Conference on Management of …, 2013 | 65 | 2013 |
| Autonomic execution of web service compositions C Pautasso, T Heinis, G Alonso IEEE International Conference on Web Services (ICWS'05), 2005 | 57 | 2005 |
| Autonomic resource provisioning for software business processes C Pautasso, T Heinis, G Alonso Information and Software Technology 49 (1), 65-80, 2007 | 56 | 2007 |
| Accelerating range queries for brain simulations F Tauheed, L Biveinis, T Heinis, F Schurmann, H Markram, A Ailamaki 2012 IEEE 28th International Conference on Data Engineering, 941-952, 2012 | 51 | 2012 |
| OligoArchive: Using DNA in the DBMS storage hierarchy R Appuswamy, K Lebrigand, P Barbry, M Antonini, O Madderson, ... Biennal Conference on Innovative Data Systems Research (CIDR 2019), p98, 2019 | 49 | 2019 |
| Efficient mining of regional movement patterns in semantic trajectories DW Choi, J Pei, T Heinis Proceedings of the VLDB Endowment 10 (13), 2073-2084, 2017 | 44 | 2017 |
| Parinda: an interactive physical designer for postgresql C Maier, D Dash, I Alagiannis, A Ailamaki, T Heinis Proceedings of the 13th International Conference on Extending Database …, 2010 | 36 | 2010 |
| JOpera: Autonomic Service Orchestration. C Pautasso, T Heinis, G Alonso IEEE Data Eng. Bull. 29 (3), 32-39, 2006 | 36 | 2006 |
| Interpolation-friendly B-trees: Bridging the Gap Between Algorithmic and Learned Indexes A Hadian, T Heinis | 31 | 2019 |
| Considerations for handling updates in learned index structures A Hadian, T Heinis Proceedings of the Second International Workshop on Exploiting Artificial …, 2019 | 30 | 2019 |
| QUASII: query-aware spatial incremental index M Pavlovic, D Sidlauskas, T Heinis, A Ailamaki 21st International Conference on Extending Database Technology (EDBT), 2018 | 30 | 2018 |
| SCOUT: prefetching for latent feature following queries F Tauheed, T Heinis, F Shürmann, H Markram, A Ailamaki arXiv preprint arXiv:1208.0276, 2012 | 28 | 2012 |
| Hands-off Model Integration in Spatial Index Structures A Hadian, A Kumar, T Heinis Proceedings of the 2nd International Workshop on Applied AI for Database …, 2020 | 22 | 2020 |
| Shift-Table: A low-latency learned index for range queries using model correction A Hadian, T Heinis arXiv preprint arXiv:2101.10457, 2021 | 21 | 2021 |
| BLOCK: Efficient execution of spatial range queries in main-memory M Olma, F Tauheed, T Heinis, A Ailamaki Proceedings of the 29th International Conference on Scientific and …, 2017 | 21 | 2017 |
