| Understanding cities with machine eyes: A review of deep computer vision in urban analytics MR Ibrahim, J Haworth, T Cheng Cities 96, 102481, 2020 | 141 | 2020 |
| WeatherNet: Recognising weather and visual conditions from street-level images using deep residual learning MR Ibrahim, J Haworth, T Cheng ISPRS International Journal of Geo-Information 8 (12), 549, 2019 | 67 | 2019 |
| Variational-LSTM autoencoder to forecast the spread of coronavirus across the globe MR Ibrahim, J Haworth, A Lipani, N Aslam, T Cheng, N Christie PloS one 16 (1), e0246120, 2021 | 63 | 2021 |
| URBAN-i: From urban scenes to mapping slums, transport modes, and pedestrians in cities using deep learning and computer vision MR Ibrahim, J Haworth, T Cheng Environment and Planning B: Urban Analytics and City Science 48 (1), 76-93, 2021 | 47 | 2021 |
| predictSLUMS: A new model for identifying and predicting informal settlements and slums in cities from street intersections using machine learning MR Ibrahim, H Titheridge, T Cheng, J Haworth Computers, Environment and Urban Systems 76, 31-56, 2019 | 46 | 2019 |
| Integrating behavioral science and design thinking to develop mobile health interventions: systematic scoping review P Voorheis, A Zhao, K Kuluski, Q Pham, T Scott, P Sztur, N Khanna, ... JMIR mHealth and uHealth 10 (3), e35799, 2022 | 41 | 2022 |
| Abnormality detection and intelligent severity assessment of human chest computed tomography scans using deep learning: a case study on SARS-COV-2 assessment MR Ibrahim, SM Youssef, KM Fathalla Journal of Ambient Intelligence and Humanized Computing 14 (5), 5665-5688, 2023 | 32 | 2023 |
| How do people select their residential locations in Egypt? The case of Alexandria MR Ibrahim Cities 62, 96-106, 2017 | 32 | 2017 |
| ActivityNET: Neural networks to predict public transport trip purposes from individual smart card data and POIs N Sari Aslam, MR Ibrahim, T Cheng, H Chen, Y Zhang Geo-Spatial Information Science 24 (4), 711-721, 2021 | 14 | 2021 |
| Semantic enrichment of secondary activities using smart card data and point of interests: A case study in London N Sari Aslam, D Zhu, T Cheng, MR Ibrahim, Y Zhang Annals of GIS 27 (1), 29-41, 2021 | 12 | 2021 |
| Cycling near misses: A review of the current methods, challenges and the potential of an AI-embedded system MR Ibrahim, J Haworth, N Christie, T Cheng, S Hailes Transport Reviews, 2020 | 12 | 2020 |
| Will distance to the capital city matter when supplying new cities in Egypt? MR Ibrahim, HE Masoumi GeoScape 10 (2), 35-52, 2016 | 12 | 2016 |
| CyclingNet: Detecting cycling near misses from video streams in complex urban scenes with deep learning MR Ibrahim, J Haworth, N Christie, T Cheng IET Intelligent Transport Systems, 2021 | 11 | 2021 |
| A dataset of housing market and self-attitudes towards housing location choices in Alexandria, Egypt MR Ibrahim | 9 | 2017 |
| The nuances of the supplied urban fabric in the MENA Region: Evidence from Alexandria, Egypt MR Ibrahim, HE Masoumi Land use policy 73, 385-399, 2018 | 8 | 2018 |
| Improving Living Conditions in Informal Settlements The Case of El-Arab, Hurghada A Khalil, A Abd El-Aal, N Quintero, H Aayash, M Abd El-Wahab, M Ibrahim, ... Procedia Environmental Sciences 34, 13-24, 2016 | 8 | 2016 |
| Borough-level COVID-19 forecasting in London using deep learning techniques and a novel MSE-Moran’s I loss function F Olsen, C Schillaci, M Ibrahim, A Lipani Results in Physics 35, 105374, 2022 | 6 | 2022 |
| The Relation Between Residential Self-Selection and Urban Mobility in Middle Eastern Cities: the Case of Alexandria, Egypt H Masoumi, MR Ibrahim, AB Aslam Urban Forum, 1-27, 2021 | 5 | 2021 |
| Re-designing cities with conditional adversarial networks MR Ibrahim, J Haworth, N Christie arXiv preprint arXiv:2104.04013, 2021 | 4 | 2021 |
| ImageSig: A signature transform for ultra-lightweight image recognition MR Ibrahim, T Lyons Proceedings of the IEEE conference on computer vision and pattern …, 2022 | 3 | 2022 |
