Max Falkenberg

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Citations	72	72
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Kim ChristensenImperial College LondonVerified email at imperial.ac.uk
Tim S. EvansSenior Lecturer, Theoretical Physics, Imperial College LondonVerified email at ic.ac.uk
Ana B Sendova-FranksVisiting Fellow, University of BristolVerified email at bristol.ac.uk
Nigel R. FranksEmeritus Professor, University of BristolVerified email at bristol.ac.uk
Madalina SasImperial College LondonVerified email at ic.ac.uk
Hardik RajpalImperial College LondonVerified email at imperial.ac.uk
Fu Siong NgImperial College LondonVerified email at imperial.ac.uk
Warren PearceUniversity of SheffieldVerified email at sheffield.ac.uk
Andrea BaronchelliCity University of LondonVerified email at city.ac.uk
Fabiana Zollo, PhDCa' Foscari University of VeniceVerified email at unive.it
Walter QuattrociocchiSapienza University of RomeVerified email at uniroma1.it
Alessandro GaleazziPh.D., Ca' Foscari University of VeniceVerified email at unive.it
Amin MekacherPhD Candidate in Mathematics, City, University of LondonVerified email at city.ac.uk
Francesca LarosaUniversity College London (UCL) and Euro-Mediterranean Center on Climate Change (CMCC)Verified email at cmcc.it
Jichao ZhaoAuckland Bioengineering Institute, University of AucklandVerified email at auckland.ac.nz
NICHOLAS S PETERSProfessor of Cardiac Electrophysiology, Imperial College & Imperial NHS Trust, LondonVerified email at imperial.ac.uk

Max Falkenberg

Department of Mathematics City University

Verified email at city.ac.uk - Homepage

Complex Systems Network Science Computational Social Science Misinformation Atrial Fibrillation


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Machine learning methods for locating re-entrant drivers from electrograms in a model of atrial fibrillation MF McGillivray, W Cheng, NS Peters, K Christensen Royal Society open science 5 (4), 172434, 2018	27	2018
Digging the optimum pit: antlions, spirals and spontaneous stratification NR Franks, A Worley, M Falkenberg, AB Sendova-Franks, K Christensen Proceedings of the Royal Society B 286 (1899), 20190365, 2019	23	2019
Identifying time dependence in network growth M Falkenberg, JH Lee, S Amano, K Ogawa, K Yano, Y Miyake, TS Evans, ... Physical Review Research 2 (2), 023352, 2020	8	2020
Unified mechanism of local drivers in a percolation model of atrial fibrillation M Falkenberg, AJ Ford, AC Li, R Lawrence, A Ciacci, NS Peters, ... Physical Review E 100 (6), 062406, 2019	7*	2019
Interpretable XGBoost Based Classification of 12-lead ECGs Applying Information Theory Measures From Neuroscience H Raipal, M Sas, C Lockwood, R Joakim, NS Peters, M Falkenberg 2020 Computing in Cardiology, 1-4, 2020	3	2020
Understanding the transition from paroxysmal to persistent atrial fibrillation A Ciacci, M Falkenberg, KA Manani, TS Evans, NS Peters, K Christensen Physical review research 2 (2), 023311, 2020	2	2020
Growing climate polarisation on social media M Falkenberg, A Galeazzi, M Torricelli, N Di Marco, F Larosa, M Sas, ... arXiv preprint arXiv:2112.12137, 2021	1	2021
Identifying Potential Re-Entrant Circuit Locations From Atrial Fibre Maps M Falkenberg, D Hickey, L Terrill, A Ciacci, NS Peters, K Christensen 2019 Computing in Cardiology (CinC), Page 1-Page 4, 2019	1	2019
Identifying locations susceptible to micro-anatomical reentry using a spatial network representation of atrial fibre maps M Falkenberg, JA Coleman, S Dobson, DJ Hickey, L Terrill, A Ciacci, ... Plos one 17 (6), e0267166, 2022		2022
Studies in Complex Systems: Complex Networks with Hidden Layers & Modelling Atrial Fibrillation M Falkenberg McGillivray Imperial College London, 2022		2022
Heterogeneous node copying from hidden network structure M Falkenberg Communications Physics 4 (1), 200, 2021		2021

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