Non‐signalling energy use in the brain E Engl, D Attwell The Journal of physiology 593 (16), 3417-3429, 2015 | 226 | 2015 |
The human factor: behavioral and neural correlates of humanized perception in moral decision making J Majdandžić, H Bauer, C Windischberger, E Moser, E Engl, C Lamm Public Library of Science 7 (10), e47698, 2012 | 74 | 2012 |
Energy-efficient information transfer by visual pathway synapses JJ Harris, R Jolivet, E Engl, D Attwell Current Biology 25 (24), 3151-3160, 2015 | 70 | 2015 |
Non-signalling energy use in the developing rat brain E Engl, R Jolivet, CN Hall, D Attwell Journal of Cerebral Blood Flow & Metabolism 37 (3), 951-966, 2017 | 47 | 2017 |
A case study for a psychographic-behavioral segmentation approach for targeted demand generation in voluntary medical male circumcision SK Sgaier, M Eletskaya, E Engl, O Mugurungi, B Tambatamba, G Ncube, ... Elife 6, e25923, 2017 | 36 | 2017 |
Bringing greater precision to interactions between community health workers and households to improve maternal and newborn health outcomes in India P Smittenaar, BM Ramesh, M Jain, J Blanchard, H Kemp, E Engl, S Isac, ... Global Health: Science and Practice 8 (3), 358-371, 2020 | 29 | 2020 |
Time to scale psycho-behavioral segmentation in global development SK Sgaier, E Engl, S Kretschmer Stanford Social Innovation Review 16, 48-55, 2018 | 26 | 2018 |
Categorizing and assessing comprehensive drivers of provider behavior for optimizing quality of health care E Engl, S Kretschmer, M Jain, S Sharma, R Prasad, BM Ramesh, ... PloS one 14 (4), e0214922, 2019 | 24 | 2019 |
Identifying population segments for effective intervention design and targeting using unsupervised machine learning: an end-to-end guide E Engl, P Smittenaar, SK Sgaier Gates Open Research 3, 2019 | 23 | 2019 |
Energy-efficient information transfer at thalamocortical synapses JJ Harris, E Engl, D Attwell, RB Jolivet PLoS computational biology 15 (8), e1007226, 2019 | 22 | 2019 |
Understanding why at-risk population segments do not seek care for tuberculosis: a precision public health approach in South India S Helfinstein, E Engl, BE Thomas, G Natarajan, P Prakash, M Jain, ... BMJ Global Health 5 (e002555), 2020 | 21 | 2020 |
CUBES: A practical toolkit to measure enablers and barriers to behavior for effective intervention design E Engl, SK Sgaier Gates open research 3, 2019 | 17 | 2019 |
Understanding drivers of family planning in rural northern India: An integrated mixed-methods approach M Jain, Y Caplan, BM Ramesh, S Isac, P Anand, E Engl, S Halli, H Kemp, ... PloS one 16 (1), e0243854, 2021 | 13 | 2021 |
A prophylactic role for creatine in hypoxia? E Engl, MM Garvert Journal of Neuroscience 35 (25), 9249-9251, 2015 | 13 | 2015 |
Energy use constrains brain information processing M Conrad, E Engl, RB Jolivet 2017 IEEE International Electron Devices Meeting (IEDM), 11.3. 1-11.3. 3, 2017 | 11 | 2017 |
CUBES: A practical toolkit to measure enablers and barriers to behavior for effective intervention design. Gates open research. 2019; 3: 886 E Engl, SK Sgaier | 5 | |
Smarter micro-targeting to improve global health outcomes: scaling cluster segmentation on novel types of data for precision public health E Engl, S Sgaier 32nd conference on neural information processing systems (NIPS 2018 …, 2018 | 3 | 2018 |
Gates Open Research E Engl, P Smittenaar, SK Sgaier | | 2019 |
The non-signalling energy budget of the brain and brain energy as a constraint for information processing E Engl UCL (University College London), 2016 | | 2016 |
CUBES: A practical toolkit to measure enablers and barriers t o behavior for effective intervention design [version 1; peer E Engl, SK Sgaier | | |