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John Taylor
John Taylor
Professor of Electronic and Electrical Engineering University of Bath
Verified email at bath.ac.uk
Title
Cited by
Cited by
Year
Pyroelectric materials and devices for energy harvesting applications
CR Bowen, J Taylor, E LeBoulbar, D Zabek, A Chauhan, R Vaish
Energy & Environmental Science 7 (12), 3836-3856, 2014
7812014
Modelling and fabrication of porous sandwich layer barium titanate with improved piezoelectric energy harvesting figures of merit
JI Roscow, RWC Lewis, J Taylor, CR Bowen
Acta Materialia 128, 207-217, 2017
1222017
Micropatterning of flexible and free standing polyvinylidene difluoride (PVDF) films for enhanced pyroelectric energy transformation
D Zabek, J Taylor, EL Boulbar, CR Bowen
Advanced Energy Materials 5 (8), 1401891, 2015
1042015
Multiple-electrode nerve cuffs for low-velocity and velocity-selective neural recording
J Taylor, N Donaldson, J Winter
Medical and Biological Engineering and Computing 42, 634-643, 2004
1002004
Design of a low-noise preamplifier for nerve cuff electrode recording
R Rieger, J Taylor, A Demosthenous, N Donaldson, PJ Langlois
IEEE Journal of Solid-State Circuits 38 (8), 1373-1379, 2003
992003
Porous ferroelectrics for energy harvesting applications
J Roscow, Y Zhang, J Taylor, CR Bowen
The European Physical Journal Special Topics 224 (14), 2949-2966, 2015
912015
A modified figure of merit for pyroelectric energy harvesting
CR Bowen, J Taylor, E Le Boulbar, D Zabek, VY Topolov
Materials Letters 138, 243-246, 2015
912015
AC electrical properties of TiO2 and Magnéli phases, TinO2n− 1
D Regonini, V Adamaki, CR Bowen, SR Pennock, J Taylor, ACE Dent
Solid State Ionics 229, 38-44, 2012
722012
A CMOS analog winner-take-all network for large-scale applications
A Demosthenous, S Smedley, J Taylor
IEEE Transactions on Circuits and Systems I: Fundamental Theory and …, 1998
721998
Freeze cast porous barium titanate for enhanced piezoelectric energy harvesting
JI Roscow, Y Zhang, MJ Kra¶ny, RWC Lewis, J Taylor, CR Bowen
Journal of Physics D: Applied Physics 51 (22), 225301, 2018
712018
A 230-nW 10-s time constant CMOS integrator for an adaptive nerve signal amplifier
R Rieger, A Demosthenous, J Taylor
IEEE Journal of Solid-State Circuits 39 (11), 1968-1975, 2004
702004
Very low-noise ENG amplifier system using CMOS technology
R Rieger, M Schuettler, D Pal, C Clarke, P Langlois, J Taylor, ...
IEEE Transactions on Neural Systems and Rehabilitation Engineering 14 (4 …, 2006
682006
Manufacture and characterization of porous ferroelectrics for piezoelectric energy harvesting applications
JI Roscow, J Taylor, CR Bowen
Ferroelectrics 498 (1), 40-46, 2016
622016
An adaptive sampling system for sensor nodes in body area networks
R Rieger, JT Taylor
IEEE Transactions on Neural Systems and Rehabilitation Engineering 17 (2 …, 2009
562009
An improved configuration for the reduction of EMG in electrode cuff recordings: a theoretical approach
M Rahal, J Winter, J Taylor, N Donaldson
IEEE transactions on biomedical engineering 47 (9), 1281-1284, 2000
552000
Fibre-selective recording from the peripheral nerves of frogs using a multi-electrode cuff
M Schuettler, N Donaldson, V Seetohul, J Taylor
Journal of neural engineering 10 (3), 036016, 2013
532013
Commercialisation of CMOS integrated circuit technology in multi-electrode arrays for neuroscience and cell-based biosensors
AHD Graham, J Robbins, CR Bowen, J Taylor
Sensors 11, 4943-4971, 2011
532011
A 100-Mb/s 2.8-V CMOS current-mode analog Viterbi decoder
A Demosthenous, J Taylor
IEEE Journal of Solid-State Circuits 37 (7), 904-910, 2002
532002
CRC handbook of electrical filters
J Taylor, Q Huang
CRC Press, 2020
522020
Noise and selectivity of velocity-selective multi-electrode nerve cuffs
N Donaldson, R Rieger, M Schuettler, J Taylor
Medical & biological engineering & computing 46, 1005-1018, 2008
502008
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