Peter E. D. Love
Strategy and Management · 2000–2020
A researcher in the Science corpus: 18 papers; trusts 28 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Strategy and Management — 67 citations into it; #9,473 of 10,874 by trust here, #8,809 by citations
- Computer Vision and Pattern Recognition — 54 citations into it
- Management Science and Operations Research — 28 citations into it; #4,306 of 11,946 by trust here, #4,921 by citations
- Building and Construction — 16 citations into it
- Management Information Systems — 5 citations into it; #2,273 of 3,376 by trust here, #1,983 by citations
- Public Administration — 5 citations into it
- Social Psychology — 5 citations into it
Whom Peter E. D. Love trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Zahir Irani
- Bent Flyvbjerg
- Xueqing Zhang
- Darrin Grimsey
- Paul A. David
- Jingfeng Yuan
- Judea Pearl
- Yann LeCun
- Alex Krizhevsky
- Mervyn K. Lewis
Who trusts Peter E. D. Love overall
- Zahir Irani
- P. Bowen
- Rebecca R. Langdon
- Princely Ifinedo
- R. Osei–Kyei
- Jeffrey K. Pinto
- P. Garg
- Angappa Gunasekaran
- Sukanlaya Sawang
- Morteza Ghobakhloo
Papers from Peter E. D. Love's perspective
Ordered by how strongly the researchers Peter E. D. Love trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Conceptual Framework for the Performance Measurement of Public-Private Partnerships (2015) — 136 citations
- Life Cycle Critical Success Factors for Public-Private Partnership Infrastructure Projects (2015) — 177 citations
- Psychological adjustment and coping among construction project managers (2004) — 185 citations
- An exploratory study of information technology evaluation and benefits management practices of SMEs in the construction industry (2004) — 309 citations
- Measuring residential property values in Hong Kong (2000) — 191 citations
- Computer vision for behaviour-based safety in construction: A review and future directions (2020) — 297 citations
- Falls from heights: A computer vision-based approach for safety harness detection (2018) — 405 citations
- Revisiting Quality Failure Costs in Construction (2018) — 117 citations
- A deep hybrid learning model to detect unsafe behavior: Integrating convolution neural networks and long short-term memory (2018) — 435 citations
- Automated detection of workers and heavy equipment on construction sites: A convolutional neural network approach (2018) — 323 citations
- Digital reproduction of historical building ornamental components: From 3D scanning to 3D printing (2017) — 162 citations
- Cost overruns in transportation infrastructure projects: Sowing the seeds for a probabilistic theory of causation (2016) — 136 citations
- Future Proofing PPPs: Life-Cycle Performance Measurement and Building Information Modelling (2015) — 135 citations
- A conceptual framework for integrating building information modeling with augmented reality (2013) — 297 citations
- Price Competitive Alliance Projects: Identification of Success Factors for Public Clients (2010) — 122 citations
- Evaluating e‐government: learning from the experiences of two UK local authorities (2005) — 324 citations
- Taking the pulse of UK construction project managers' health: Influence of job demands, job control and social support on psychological wellbeing (2005) — 95 citations
- The Propagation of Technology Management Taxonomies for Evaluating Investments in Information Systems (2000) — 385 citations