| Gathering cyber threat intelligence from Twitter using novelty classification BD Le, G Wang, M Nasim, A Babar Cyber Worlds, 2019 | 43 | 2019 |
| Real-time Detection of Content Polluters in Partially Observable Twitter Networks M Nasim, A Nguyen, N Lothian, R Cope, L Mitchell Companion of the The Web Conference 2018 on The Web Conference 2018, 1331--1339, 2018 | 36 | 2018 |
| An energy efficient cooperative hierarchical MIMO clustering scheme for wireless sensor networks M Nasim, S Qaisar, S Lee Sensors 12 (1), 92-114, 2011 | 28 | 2011 |
| Investigating link inference in partially observable networks: Friendship ties and interaction M Nasim, R Charbey, C Prieur, U Brandes IEEE Transactions on Computational Social Systems 3 (3), 113-119, 2016 | 27 | 2016 |
| # ArsonEmergency and Australia’s “Black Summer”: Polarisation and misinformation on social media D Weber, M Nasim, L Falzon, L Mitchell Disinformation in Open Online Media: Second Multidisciplinary International …, 2020 | 24 | 2020 |
| Pachinko Prediction: A Bayesian method for event prediction from social media data J Tuke, A Nguyen, M Nasim, D Mellor, A Wickramasinghe, N Bean, ... Information Processing & Management 57 (2), 102147, 2020 | 23 | 2020 |
| Roman-txt: forms and functions of roman urdu texting A Bilal, A Rextin, A Kakakhel, M Nasim Proceedings of the 19th International Conference on Human-Computer …, 2017 | 19 | 2017 |
| Systematic Literature Review on Cyber Situational Awareness Visualizations L Jiang, A Jayatilaka, M Nasim, M Grobler, M Zahedi, MA Babar IEEE Access, 2022 | 17 | 2022 |
| On commenting behavior of Facebook users M Nasim, M Usman Ilyas, A Rextin, N Nasim 24th ACM Conference on Hypertext and Social Media, 179-183, 2013 | 14 | 2013 |
| Hierarchical MIMO: A clustering approach for ad hoc wireless sensor networks M Nasim, S Qaisar 2010 44th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2010 | 12 | 2010 |
| Exploring the effect of streamed social media data variations on social network analysis D Weber, M Nasim, L Mitchell, L Falzon Social Network Analysis and Mining, 2021 | 10 | 2021 |
| A method to evaluate the reliability of social media data for social network analysis D Weber, M Nasim, L Mitchell, L Falzon 2020 IEEE/ACM International Conference on Advances in Social Networks …, 2020 | 9 | 2020 |
| Data analysis and call prediction on dyadic data from an understudied population M Nasim, A Rextin, S Hayat, N Khan, MM Malik Pervasive and Mobile Computing, 2017 | 9* | 2017 |
| Understanding call logs of smartphone users for making future calls M Nasim, A Rextin, N Khan, MM Malik Proceedings of the 18th International Conference on Human-Computer …, 2016 | 8 | 2016 |
| Maximal weight topology discovery in ad hoc wireless sensor networks Y Fayyaz, M Nasim, MY Javed 2010 10th IEEE International Conference on Computer and Information …, 2010 | 8 | 2010 |
| Text and phone calls: user behaviour and dual-channel communication prediction S Hayat, A Rextin, A Idris, M Nasim Human-centric Computing and Information Sciences 10 (1), 1-18, 2020 | 7 | 2020 |
| Cooperative communication for energy efficiency in mobile wireless sensor networks M Nasim, S Qaisar International Conference on Computational Science and Its Applications, 159-172, 2011 | 5 | 2011 |
| Promoting and countering misinformation during Australia's 2019-2020 bushfires: A case study of polarisation D Weber, L Falzon, L Mitchell, M Nasim Social Network Analysis and Mining, 2022 | 4 | 2022 |
| Analyzing emergent users’ text messages data and exploring its benefits A Bilal, A Rextin, A Kakakhel, M Nasim IEEE Access 7, 2870-2879, 2018 | 4 | 2018 |
| Predicting network structure using unlabeled interaction information M Nasim, U Brandes MMB & DFT 2014, 57, 2014 | 4 | 2014 |
Aimal RextinSEECS NUSTVerified email at seecs.edu.pk
