| The CMS experiment at the CERN LHC CMS Collaboration, R Adolphi Journal of Instrumentation 3, 2008 | 22807* | 2008 |
| The CMS experiment at the CERN LHC S Chatrchyan, G Hmayakyan, V Khachatryan, CMS Collaboration Journal of instrumentation 3 (8), S08004, 2008 | 3097 | 2008 |
| Blockchain standards for compliance and trust A Anjum, M Sporny, A Sill IEEE Cloud Computing 4 (4), 84-90, 2017 | 319 | 2017 |
| Towards cloud based big data analytics for smart future cities Z Khan, A Anjum, K Soomro, MA Tahir Journal of Cloud Computing 4, 1-11, 2015 | 315 | 2015 |
| Cloud based big data analytics for smart future cities Z Khan, A Anjum, SL Kiani 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing …, 2013 | 258* | 2013 |
| Congestion prediction for smart sustainable cities using IoT and machine learning approaches S Majumdar, MM Subhani, B Roullier, A Anjum, R Zhu Sustainable Cities and Society 64, 102500, 2021 | 155 | 2021 |
| Video stream analysis in clouds: An object detection and classification framework for high performance video analytics A Anjum, T Abdullah, MF Tariq, Y Baltaci, N Antonopoulos IEEE Transactions on Cloud Computing 7 (4), 1152-1167, 2016 | 123 | 2016 |
| Explaining deep neural networks: A survey on the global interpretation methods R Saleem, B Yuan, F Kurugollu, A Anjum, L Liu Neurocomputing 513, 165-180, 2022 | 109 | 2022 |
| Data intensive and network aware (DIANA) grid scheduling R McClatchey, A Anjum, H Stockinger, A Ali, I Willers, M Thomas Journal of Grid computing 5 (1), 43-64, 2007 | 108* | 2007 |
| A new mechanism for resource monitoring in grid computing WC Chung, RS Chang Future Generation Computer Systems 25 (1), 1-7, 2009 | 107 | 2009 |
| Edge enhanced deep learning system for large-scale video stream analytics M Ali, A Anjum, MU Yaseen, AR Zamani, D Balouek-Thomert, O Rana, ... 2018 IEEE 2nd International Conference on Fog and Edge Computing (ICFEC), 1-10, 2018 | 84 | 2018 |
| SimIC: Designing a new inter-cloud simulation platform for integrating large-scale resource management S Sotiriadis, N Bessis, N Antonopoulos, A Anjum 2013 IEEE 27th International Conference on Advanced Information Networking …, 2013 | 84 | 2013 |
| Intelligent data fusion algorithm based on hybrid delay-aware adaptive clustering in wireless sensor networks X Liu, R Zhu, A Anjum, J Wang, H Zhang, M Ma Future Generation Computer Systems 104, 1-14, 2020 | 75 | 2020 |
| Towards in-transit analytics for industry 4.0 R Hill, J Devitt, A Anjum, M Ali 2017 IEEE International Conference on Internet of Things (IThings) and IEEE …, 2017 | 66* | 2017 |
| RES: Real-time video stream analytics using edge enhanced clouds M Ali, A Anjum, O Rana, AR Zamani, D Balouek-Thomert, M Parashar IEEE Transactions on Cloud Computing, 2020 | 64 | 2020 |
| Cloud-based scalable object detection and classification in video streams MU Yaseen, A Anjum, O Rana, R Hill Future Generation Computer Systems 80, 286-298, 2018 | 64 | 2018 |
| Microservices: granularity vs. performance D Shadija, M Rezai, R Hill Companion Proceedings of the10th International Conference on Utility and …, 2017 | 64 | 2017 |
| Deep Learning Hyper-Parameter Optimization for Video Analytics in Clouds MU Yaseen, A Anjum, O Rana, N Antonopoulos IEEE Transactions on Systems, Man, and Cybernetics: Systems, 1-12, 2018 | 62 | 2018 |
| Grid infrastructures for computational neuroscience: the neuGRID example A Redolfi, R McClatchey, A Anjum, A Zijdenbos, D Manset, F Barkhof, ... Future Neurology 4 (6), 703-722, 2009 | 62 | 2009 |
| Deadline constrained video analysis via in-transit computational environments AR Zamani, M Zou, J Diaz-Montes, I Petri, O Rana, A Anjum, M Parashar IEEE Transactions on Services Computing 13 (1), 59-72, 2017 | 58 | 2017 |
richard mcclatcheyCentre for Complex Cooperative Systems, University of the West of EnglandVerified email at cern.ch
