| Predicting the Computational Cost of Deep Learning Models D Justus, J Brennan, S Bonner, AS McGough 2018 IEEE International Conference on Big Data (Big Data), 3873-3882, 2018 | 444 | 2018 |
| Machine Learning, Deep Learning and Statistical Analysis for forecasting building energy consumption—A systematic review M Khalil, AS McGough, Z Pourmirza, M Pazhoohesh, S Walker Engineering Applications of Artificial Intelligence 115, 105287, 2022 | 294 | 2022 |
| Job submission description language (jsdl) specification, version 1.0 A Anjomshoaa, F Brisard, M Drescher, D Fellows, A Ly, S McGough, ... Open Grid Forum, GFD 56, 2005 | 213 | 2005 |
| Job submission description language (jsdl) specification A Anjomshoaa, F Brisard, M Drescher, D Fellows, A Ly, S McGough, ... Version 1, 15, 2005 | 184 | 2005 |
| Workflow enactment in ICENI S McGough, L Young, A Afzal, S Newhouse, J Darlington UK e-Science All Hands Meeting 9, 894-900, 2004 | 114 | 2004 |
| ICENI: Optimisation of component applications within a Grid environment N Furmento, A Mayer, S McGough, S Newhouse, T Field, J Darlington Parallel Computing 28 (12), 1753-1772, 2002 | 112 | 2002 |
| A mechanistic Individual-based Model of microbial communities PG Jayathilake, P Gupta, B Li, C Madsen, O Oyebamiji, ... PloS one 12 (8), e0181965, 2017 | 109 | 2017 |
| ICENI dataflow and workflow: Composition and scheduling in space and time A Mayer, S McGough, N Furmento, W Lee, S Newhouse, J Darlington UK e-Science All Hands Meeting 634, 627, 2003 | 107 | 2003 |
| Scheduling architecture and algorithms within the ICENI Grid middleware L Young, S McGough, S Newhouse, J Darlington UK e-Science All Hands Meeting, 5-12, 2003 | 104 | 2003 |
| Black-box variational inference for stochastic differential equations T Ryder, A Golightly, AS McGough, D Prangle International Conference on Machine Learning, 4423-4432, 2018 | 91 | 2018 |
| RESEARCH Open Access V Glenis, M As, V Kutija, C Kilsby, S Woodman, V Glenis, AS Mcgough, ... | 88* | 2014 |
| Flood modelling for cities using Cloud computing V Glenis, AS McGough, V Kutija, C Kilsby, S Woodman Journal of Cloud Computing: Advances, Systems and Applications 2 (1), 7, 2013 | 88 | 2013 |
| Artificial Neural Networks and Machine Learning–ICANN 2018 Z Alhassan, AS McGough, R Alshammari, T Daghstani, D Budgen, ... Springer, Cham, 2018 | 85* | 2018 |
| Toward a Framework for Teaching Artificial Intelligence to a Higher Education Audience B Allen, AS McGough, M Devlin ACM Transactions on Computing Education (TOCE) 22 (2), 1-29, 2021 | 81 | 2021 |
| NUFEB: A massively parallel simulator for individual-based modelling of microbial communities B Li, D Taniguchi, JP Gedara, V Gogulancea, R Gonzalez-Cabaleiro, ... PLoS computational biology 15 (12), e1007125, 2019 | 80 | 2019 |
| Making the grid predictable through reservations and performance modelling AS Mcgough, A Afzal, J Darlington, N Furmento, A Mayer, L Young The Computer Journal 48 (3), 358-368, 2005 | 78 | 2005 |
| Capacity planning and scheduling in Grid computing environments A Afzal, AS McGough, J Darlington Future generation computer systems 24 (5), 404-414, 2008 | 75 | 2008 |
| Job Submission Description Language (JSDL) Specification v1. 0 A Anjomshoaa, F Brisard, M Drescher, D Fellows, A Ly, S McGough, ... Grid Forum Document GFD 56, 1.4, 2005 | 61 | 2005 |
| Job submission description language (jsdl) specification v1. 0 A Anjomshoaa, F Brisard, M Drescher, D Fellows, A Ly, S McGough, ... Grid Forum Document GFD 56, 1.4, 2005 | 61 | 2005 |
| Optimisation of component-based applications within a grid environment N Furmento, A Mayer, S McGough, S Newhouse, T Field, J Darlington Proceedings of the 2001 ACM/IEEE conference on Supercomputing, 30-30, 2001 | 59 | 2001 |
John DarlingtonProfessor of Computing, Imperial College LondonVerified email at imperial.ac.uk
