| Information gerrymandering and undemocratic decisions AJ Stewart, M Mosleh, M Diakonova, AA Arechar, DG Rand, JB Plotkin Nature 573 (7772), 117–121, 2019 | 264 | 2019 |
| Cluster analysis and prediction of residential peak demand profiles using occupant activity data A Satre-Meloy, M Diakonova, P Grünewald Applied Energy 260, 114246, 2020 | 127 | 2020 |
| Irreducibility of multilayer network dynamics: the case of the voter model M Diakonova, V Nicosia, V Latora, M San Miguel New J. Phys 18, 023010, 2016 | 95 | 2016 |
| Flexibility, dynamism and diversity in energy supply and demand: A critical review P Grunewald, M Diakonova Energy Research & Social Science 38, 58-66, 2018 | 85 | 2018 |
| Absorbing and shattered fragmentation transitions in multilayer coevolution M Diakonova, M San Miguel, VM Eguíluz Physical Review E 89 (6), 062818, 2014 | 65 | 2014 |
| Daily life and demand: an analysis of intra-day variations in residential electricity consumption with time-use data A Satre-Meloy, M Diakonova, P Grünewald Energy Efficiency, 1-26, 2019 | 46 | 2019 |
| Dynamical origins of the community structure of an online multi-layer society P Klimek, M Diakonova, VM Eguíluz, M San Miguel, S Thurner New Journal of Physics 18 (8), 083045, 2016 | 41 | 2016 |
| Noise in coevolving networks M Diakonova, VM Eguíluz, M San Miguel Physical Review E 92 (3), 032803, 2015 | 35 | 2015 |
| The electricity footprint of household activities-implications for demand models P Grunewald, M Diakonova Energy and Buildings 174, 635-641, 2018 | 34 | 2018 |
| The specific contributions of activities to household electricity demand P Grünewald, M Diakonova Energy and Buildings 204, 109498, 2019 | 25 | 2019 |
| Quantifying emergence in terms of persistent mutual information RC Ball, M Diakonova, RS Mackay Advances in Complex Systems 13 (03), 327-338, 2010 | 25 | 2010 |
| Mathematical examples of space-time phases M Diakonova, RS MacKay International Journal of Bifurcation and Chaos 21 (08), 2297-2304, 2011 | 19 | 2011 |
| What we do matters – a time-use app to capture energy relevant activities A Grünewald, P., Diakonova, M., Zilli, D., Bernard, J. and Matousek eceee 2017 Summer Study Proceedings, 2085-2093, 2017 | 14* | 2017 |
| What makes you peak? Cluster analysis of household activities and electricity demand A Satre-Meloy, M Diakonova, P Grünewald ECEEE Summer Study 2019, 2019 | 8 | 2019 |
| Energy and enjoyment: The value of household electricity consumption P Grunewald, M Diakonova Energy and Behaviour, 263-281, 2020 | 4 | 2020 |
| Using Twitter data to identify networks of interest in minority policy topics M Morgan, G Killip, M Diakonova https://www.see.leeds.ac.uk/fileadmin/Documents/research/sri/workingpapers …, 2019 | 2 | 2019 |
| Diversity behind the meter–machine learning from household activities P Grunewald, M Diakonova, A Satre-meloy British Insitute of Energy Economics, 2018 | 1 | 2018 |
| Daily life and demand: New data on behavioral drivers of residential electricity use patterns A Satre-Meloy, M Diakonova, P Grünewald Proceedings of the 2018 ACEEE Summer Study on Energy Efficiency in Buildings …, 2018 | 1 | 2018 |
| Dynamical leaps due to microscopic changes in multiplex networks M Diakonova, JJ Ramasco, VM Eguíluz Europhysics Letters 117 (4), 2017 | 1 | 2017 |
| METER: UK Household Electricity and Activity Survey, 2016-2019: Secure Access M Grunewald, P., Diakonova https://beta.ukdataservice.ac.uk/datacatalogue/doi/?id=8475, 2019 | | 2019 |
