| Peer-to-peer computing: Principles and applications QH Vu, M Lupu, BC Ooi Springer Science & Business Media, 2009 | 131 | 2009 |
| CLEF-IP 2012 F Piroi, M Lupu, A Hanbury, WM Wahba, AP Sexton, I Filippov CEUR-WS, 2012 | 124* | 2012 |
| Current challenges in patent information retrieval MLKMJ Tait, AJ Trippe | 86* | 2011 |
| Current challenges in patent information retrieval M Lupu, K Mayer, J Tait, AJ Trippe Springer Science & Business Media, 2011 | 83* | 2011 |
| CLEF-IP 2010: Retrieval Experiments in the Intellectual Property Domain. F Piroi, M Lupu, A Hanbury, AP Sexton, W Magdy, IV Filippov CLEF (notebook papers/labs/workshops), 2010 | 78 | 2010 |
| Retrieving Diverse Social Images at MediaEval 2014: Challenge, Dataset and Evaluation. B Ionescu, A Popescu, M Lupu, AL Gînsca, H Müller MediaEval, 2014 | 77 | 2014 |
| Patent Retrieval. M Lupu, A Hanbury Foundations and Trends in Information Retrieval 7 (1), 1-97, 2013 | 76 | 2013 |
| CLEF-IP 2011: Retrieval in the Intellectual Property Domain. F Piroi, M Lupu, A Hanbury, V Zenz CLEF (notebook papers/labs/workshop), 2011 | 72 | 2011 |
| CLEF eHealth evaluation lab 2015, task 2: Retrieving information about medical symptoms J Palotti, G Zuccon, L Goeuriot, L Kelly, A Hanbury, GJ Jones, M Lupu, ... Proc. of CLEF, 2015 | 63 | 2015 |
| The IR Task at the CLEF eHealth Evaluation Lab 2016: User-centred Health Information Retrieval. G Zuccon, JRM Palotti, L Goeuriot, L Kelly, M Lupu, P Pecina, H Mueller, ... CLEF (Working Notes), 15-27, 2016 | 55 | 2016 |
| Overview of the TREC 2009 Chemical IR Track X Huang, J Zhu, M Lupu, F Piroi, J Tait YORK UNIV DOWNSVIEW (ONTARIO), 2009 | 43* | 2009 |
| Overview of the TREC chemical IR track M Lupu, F Piroi, J Huang, J Zhu, J Tait Proceedings of the 18th text retrieval conference, 2009 | 43* | 2009 |
| TREC-CHEM: large scale chemical information retrieval evaluation at TREC M Lupu, J Huang, J Zhu, J Tait ACM SIGIR Forum 43 (2), 63-70, 2009 | 42 | 2009 |
| Volatility Prediction using Financial Disclosures Sentiments with Word Embedding-based IR Models N Rekabsaz, M Lupu, A Baklanov, A Hanbury, A Dür, L Anderson arXiv preprint arXiv:1702.01978, 2017 | 39 | 2017 |
| Overview of the special issue on trust and veracity of information in social media S Papadopoulos, K Bontcheva, E Jaho, M Lupu, C Castillo ACM Transactions on Information Systems (TOIS) 34 (3), 1-5, 2016 | 38 | 2016 |
| Div150Cred: A Social Image Retrieval Result Diversification with User Tagging Credibility Dataset B Ionescu, A Popescu, M Lupu, AL Gînsca, B Boteanu, H Müller | 35* | |
| Word Embedding Causes Topic Shifting; Exploit Global Context! N Rekabsaz, M Lupu, A Hanbury, H Zamani Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017 | 27 | 2017 |
| Patent image retrieval: a survey A Hanbury, N Bhatti, M Lupu, R Mörzinger Proceedings of the 4th workshop on Patent information retrieval, 3-8, 2011 | 27 | 2011 |
| Credibility in Information Retrieval AL Ginsca, A Popescu, M Lupu Foundations and Trends® in Information Retrieval 9 (5), 355-475, 2015 | 26 | 2015 |
| Exploration of a threshold for similarity based on uncertainty in word embedding N Rekabsaz, M Lupu, A Hanbury European Conference on Information Retrieval, 396-409, 2017 | 25 | 2017 |
Allan HanburyProfessor at the TU WienVerified email at ifs.tuwien.ac.at
