| Web evolution and Web science W Hall, T Tiropanis Computer Networks 56 (18), 3859-3865, 2012 | 106 | 2012 |
| Analytics for the internet of things: A survey E Siow, T Tiropanis, W Hall ACM computing surveys (CSUR) 51 (4), 1-36, 2018 | 102 | 2018 |
| The web science observatory T Tiropanis, W Hall, N Shadbolt, D De Roure, N Contractor, J Hendler IEEE Intelligent Systems 28 (2), 100-104, 2013 | 79 | 2013 |
| The Web in education C Allison, A Miller, I Oliver, R Michaelson, T Tiropanis Computer Networks 56 (18), 3811-3824, 2012 | 78 | 2012 |
| Semantic technologies for learning and teaching in the Web 2.0 era T Tiropanis, H Davis, D Millard, M Weal IEEE Intelligent Systems 24 (6), 49-53, 2009 | 66 | 2009 |
| Network science, web science, and internet science T Tiropanis, W Hall, J Crowcroft, N Contractor, L Tassiulas Communications of the ACM 58 (8), 76-82, 2015 | 51 | 2015 |
| Bias in data‐driven artificial intelligence systems—An introductory survey E Ntoutsi, P Fafalios, U Gadiraju, V Iosifidis, W Nejdl, ME Vidal, S Ruggieri, ... Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 10 (3 …, 2020 | 47 | 2020 |
| Lhd: Optimising linked data query processing using parallelisation X Wang, T Tiropanis, HC Davis LDOW, 2013 | 45 | 2013 |
| The problem of identifying misogynist language on Twitter (and other online social spaces) S Hewitt, T Tiropanis, C Bokhove Proceedings of the 8th ACM Conference on Web Science, 333-335, 2016 | 38 | 2016 |
| Grid-based virtual laboratory experiments for a graduate course on sensor networks IT Christou, S Efremidis, T Tiropanis, A Kalis IEEE Transactions on Education 50 (1), 17-26, 2007 | 38 | 2007 |
| EXPRESS: EXPressing REstful semantic services using domain ontologies A Alowisheq, DE Millard, T Tiropanis International Semantic Web Conference, 941-948, 2009 | 31 | 2009 |
| The web observatory: a middle layer for broad data T Tiropanis, W Hall, J Hendler, C de Larrinaga Big Data 2 (3), 129-133, 2014 | 29 | 2014 |
| A review of higher education challenges and data infrastructure responses F Sarker, H Davis, T Tiropanis | 29 | 2010 |
| Linked data, data mining and external open data for better prediction of at-risk students F Sarker, T Tiropanis, HC Davis 2014 International Conference on Control, Decision and Information …, 2014 | 27 | 2014 |
| The digital underground economy: A social network approach to understanding cybercrime M Yip, N Shadbolt, T Tiropanis, C Webber | 27 | 2012 |
| Cross-domain depression detection via harvesting social media T Shen, J Jia, G Shen, F Feng, X He, H Luan, J Tang, T Tiropanis, ... International Joint Conferences on Artificial Intelligence 2018, 1611-1617, 2018 | 26 | 2018 |
| Crime applications and social machines: crowdsourcing sensitive data M Byrne Evans, K O'Hara, T Tiropanis, C Webber Proceedings of the 22nd International Conference on World Wide Web, 891-896, 2013 | 24 | 2013 |
| Evaluating graph traversal algorithms for distributed SPARQL query optimization X Wang, T Tiropanis, HC Davis Joint International Semantic Technology Conference, 210-225, 2011 | 24 | 2011 |
| Students’ performance prediction by using institutional internal and external open data sources F Sarker, T Tiropanis, HC Davis | 22 | 2013 |
| A comparison between mobile and ubiquitous learning from the perspective of human–computer interaction NR Aljohani, HC Davis, SW Loke International journal of mobile learning and organisation 6 (3-4), 218-231, 2012 | 22 | 2012 |
