| Apache flink: Stream and batch processing in a single engine P Carbone, A Katsifodimos, S Ewen, V Markl, S Haridi, K Tzoumas The Bulletin of the Technical Committee on Data Engineering 38 (4), 2015 | 2190 | 2015 |
| The stratosphere platform for big data analytics A Alexandrov, R Bergmann, S Ewen, JC Freytag, F Hueske, A Heise, ... The VLDB Journal 23, 939-964, 2014 | 668 | 2014 |
| LEO-DB2's learning optimizer M Stillger, GM Lohman, V Markl, M Kandil VLDB 1, 19-28, 2001 | 584 | 2001 |
| Bigearthnet: A large-scale benchmark archive for remote sensing image understanding G Sumbul, M Charfuelan, B Demir, V Markl IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 531 | 2019 |
| CORDS: Automatic discovery of correlations and soft functional dependencies IF Ilyas, V Markl, P Haas, P Brown, A Aboulnaga Proceedings of the 2004 ACM SIGMOD international conference on Management of …, 2004 | 455 | 2004 |
| Nephele/PACTs: a programming model and execution framework for web-scale analytical processing D Battré, S Ewen, F Hueske, O Kao, V Markl, D Warneke Proceedings of the 1st ACM symposium on Cloud computing, 119-130, 2010 | 397 | 2010 |
| Robust query processing through progressive optimization V Markl, V Raman, D Simmen, G Lohman, H Pirahesh, M Cilimdzic Proceedings of the 2004 ACM SIGMOD international conference on Management of …, 2004 | 344 | 2004 |
| Benchmarking distributed stream data processing systems J Karimov, T Rabl, A Katsifodimos, R Samarev, H Heiskanen, V Markl 2018 IEEE 34th international conference on data engineering (ICDE), 1507-1518, 2018 | 330 | 2018 |
| Integrating the UB-tree into a database system kernel. F Ramsak, V Markl, R Fenk, M Zirkel, K Elhardt, R Bayer VLDB 2000, 263-272, 2000 | 275 | 2000 |
| Spinning fast iterative data flows S Ewen, K Tzoumas, M Kaufmann, V Markl arXiv preprint arXiv:1208.0088, 2012 | 221 | 2012 |
| Hardware-oblivious parallelism for in-memory column-stores M Heimel, M Saecker, H Pirk, S Manegold, V Markl Proceedings of the VLDB Endowment 6 (9), 709-720, 2013 | 196 | 2013 |
| Learning from empirical results in query optimization GM Lohman, M Stillger, V Markl US Patent 6,763,359, 2004 | 186 | 2004 |
| LEO: An autonomic query optimizer for DB2 V Markl, GM Lohman, V Raman IBM Systems Journal 42 (1), 98-106, 2003 | 174 | 2003 |
| BigEarthNet-MM: A large-scale, multimodal, multilabel benchmark archive for remote sensing image classification and retrieval [software and data sets] G Sumbul, A De Wall, T Kreuziger, F Marcelino, H Costa, P Benevides, ... IEEE Geoscience and Remote Sensing Magazine 9 (3), 174-180, 2021 | 162 | 2021 |
| The Beckman report on database research D Abadi, R Agrawal, A Ailamaki, M Balazinska, PA Bernstein, MJ Carey, ... Communications of the ACM 59 (2), 92-99, 2016 | 157 | 2016 |
| Automatically and adaptively determining execution plans for queries with parameter markers W Fan, GM Lohman, VG Markl, N Megiddo, J Rao, DE Simmen, ... US Patent App. 11/673,091, 2008 | 146 | 2008 |
| Damia: data mashups for intranet applications DE Simmen, M Altinel, V Markl, S Padmanabhan, A Singh Proceedings of the 2008 ACM SIGMOD international conference on Management of …, 2008 | 145 | 2008 |
| Damia: a data mashup fabric for intranet applications M Altinel, P Brown, S Cline, R Kartha, E Louie, V Markl, L Mau, YH Ng, ... Association for Computing Machinery, 2007 | 143 | 2007 |
| Isomer: Consistent histogram construction using query feedback U Srivastava, PJ Haas, V Markl, M Kutsch, TM Tran 22nd International Conference on Data Engineering (ICDE'06), 39-39, 2006 | 137 | 2006 |
| Progressive refinement of a federated query plan during query execution SE Ewen, H Kache, VG Markl, V Raman US Patent 7,877,381, 2011 | 134 | 2011 |
Tilmann RablHasso Plattner Institute, University of PotsdamVerified email at hpi.de
