| Finding a team of experts in social networks T Lappas, K Liu, E Terzi Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009 | 849 | 2009 |
| Finding effectors in social networks T Lappas, E Terzi, D Gunopulos, H Mannila Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010 | 285 | 2010 |
| The impact of fake reviews on online visibility: A vulnerability assessment of the hotel industry T Lappas, G Sabnis, G Valkanas Information Systems Research 27 (4), 940-961, 2016 | 281 | 2016 |
| Personalized multi-period tour recommendations S Kotiloglu, T Lappas, K Pelechrinis, PP Repoussis Tourism Management 62, 76-88, 2017 | 142 | 2017 |
| Customized tour recommendations in urban areas A Gionis, T Lappas, K Pelechrinis, E Terzi Proceedings of the 7th ACM international conference on Web search and data …, 2014 | 127 | 2014 |
| On burstiness-aware search for document sequences T Lappas, B Arai, M Platakis, D Kotsakos, D Gunopulos Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009 | 122 | 2009 |
| On the spatiotemporal burstiness of terms T Lappas, MR Vieira, D Gunopulos, VJ Tsotras arXiv preprint arXiv:1205.6695, 2012 | 103 | 2012 |
| Fake reviews: The malicious perspective T Lappas International conference on application of natural language to information …, 2012 | 97 | 2012 |
| The importance of interactions between content characteristics and creator characteristics for studying virality in social media Y Han, T Lappas, G Sabnis Information Systems Research 31 (2), 576-588, 2020 | 95 | 2020 |
| Selecting a characteristic set of reviews T Lappas, M Crovella, E Terzi Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 93 | 2012 |
| Data mining techniques for (network) intrusion detection systems T Lappas, K Pelechrinis Department of Computer Science and Engineering UC Riverside, Riverside CA 92521, 2007 | 85 | 2007 |
| Efficient confident search in large review corpora T Lappas, D Gunopulos Joint European conference on machine learning and knowledge discovery in …, 2010 | 80 | 2010 |
| A survey of algorithms and systems for expert location in social networks T Lappas, K Liu, E Terzi Social network data analytics, 215-241, 2011 | 77 | 2011 |
| Economic impact and policy implications from urban shared transportation: The case of Pittsburgh’s shared bike system K Pelechrinis, C Zacharias, M Kokkodis, T Lappas PloS one 12 (8), e0184092, 2017 | 58* | 2017 |
| From lurkers to workers: Predicting voluntary contribution and community welfare M Kokkodis, T Lappas, S Ransbotham Information Systems Research 31 (2), 607-626, 2020 | 56 | 2020 |
| Profit-maximizing cluster hires B Golshan, T Lappas, E Terzi Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 54 | 2014 |
| Unsupervised tip-mining from customer reviews D Zhu, T Lappas, J Zhang Decision Support Systems 107, 116-124, 2018 | 43 | 2018 |
| Your hometown matters: Popularity-difference bias in online reputation platforms M Kokkodis, T Lappas Information Systems Research 31 (2), 412-430, 2020 | 40 | 2020 |
| On the importance of temporal dynamics in modeling urban activity K Zhang, Q Jin, K Pelechrinis, T Lappas Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing, 1-8, 2013 | 40 | 2013 |
| Efficient and domain-invariant competitor mining T Lappas, G Valkanas, D Gunopulos Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 37 | 2012 |
