Andrew Tizzard

1.4k total citations · 1 hit paper
24 papers, 1.0k citations indexed

About

Andrew Tizzard is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Mechanics of Materials. According to data from OpenAlex, Andrew Tizzard has authored 24 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 11 papers in Biomedical Engineering and 7 papers in Mechanics of Materials. Recurrent topics in Andrew Tizzard's work include Electrical and Bioimpedance Tomography (19 papers), Geophysical and Geoelectrical Methods (7 papers) and Flow Measurement and Analysis (7 papers). Andrew Tizzard is often cited by papers focused on Electrical and Bioimpedance Tomography (19 papers), Geophysical and Geoelectrical Methods (7 papers) and Flow Measurement and Analysis (7 papers). Andrew Tizzard collaborates with scholars based in United Kingdom, United States and Austria. Andrew Tizzard's co-authors include Richard Bayford, Hamid Dehghani, David Holder, Inéz Frerichs, Brian Brown, Andrea Borsic, Andy Adler, Theo J. C. Faes, Anjum Naeem Malik and John H. Arnold and has published in prestigious journals such as NeuroImage, IEEE Transactions on Biomedical Engineering and Clinical Neurophysiology.

In The Last Decade

Andrew Tizzard

24 papers receiving 1.0k citations

Hit Papers

GREIT: a unified approach to 2D linear EIT reconstruction... 2009 2026 2014 2020 2009 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Andrew Tizzard United Kingdom 12 830 477 322 296 166 24 1.0k
Andrea Borsic United States 17 1.3k 1.5× 673 1.4× 479 1.5× 331 1.1× 298 1.8× 45 1.5k
Canhua Xu China 19 761 0.9× 447 0.9× 197 0.6× 214 0.7× 124 0.7× 63 980
Bartłomiej Grychtol Germany 18 1.2k 1.4× 488 1.0× 511 1.6× 713 2.4× 180 1.1× 43 1.8k
Rebecca Yerworth United Kingdom 12 483 0.6× 286 0.6× 127 0.4× 158 0.5× 87 0.5× 30 580
D.G. Gisser United States 11 1.0k 1.2× 422 0.9× 422 1.3× 151 0.5× 452 2.7× 30 1.1k
Peter Metherall United Kingdom 11 317 0.4× 207 0.4× 115 0.4× 86 0.3× 101 0.6× 27 613
P. Milnes United Kingdom 14 432 0.5× 270 0.6× 103 0.3× 138 0.5× 33 0.2× 22 606
RH Bayford United Kingdom 5 441 0.5× 282 0.6× 114 0.4× 98 0.3× 71 0.4× 9 478
Juan Abascal France 16 328 0.4× 368 0.8× 104 0.3× 48 0.2× 100 0.6× 42 712
Ruigang Liu China 12 456 0.5× 245 0.5× 102 0.3× 110 0.4× 94 0.6× 54 513

Countries citing papers authored by Andrew Tizzard

Since Specialization
Citations

This map shows the geographic impact of Andrew Tizzard's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Andrew Tizzard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Tizzard more than expected).

Fields of papers citing papers by Andrew Tizzard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew Tizzard. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Andrew Tizzard. The network helps show where Andrew Tizzard may publish in the future.

Co-authorship network of co-authors of Andrew Tizzard

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Tizzard. A scholar is included among the top collaborators of Andrew Tizzard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andrew Tizzard. Andrew Tizzard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Frerichs, Inéz, Merja Kallio, Erich Sorantin, et al.. (2022). Cross-sectional chest circumference and shape development in infants. BMC Research Notes. 15(1). 206–206. 2 indexed citations
2.
Nordebo, Sven, Merja Kallio, Inéz Frerichs, et al.. (2021). Model Selection Based Algorithm in Neonatal Chest EIT. IEEE Transactions on Biomedical Engineering. 68(9). 2752–2763. 8 indexed citations
3.
Bardill, Andy, Andrew Tizzard, Yu Wu, et al.. (2018). Torso shape detection to improve lung monitoring. Physiological Measurement. 39(7). 74001–74001. 19 indexed citations
4.
Ziprin, Paul, Reza Mirnezami, Andrew Tizzard, et al.. (2017). Detecting colorectal cancer using electrical impedance spectroscopy: anex vivofeasibility study. Physiological Measurement. 38(6). 1278–1288. 15 indexed citations
5.
Tizzard, Andrew, et al.. (2014). Wearable sensors for patient -specific boundary shape estimation. Carleton University's Institutional Repository (MacOdrum Library, Carleton University). 1 indexed citations
7.
Bayford, Richard & Andrew Tizzard. (2012). Bioimpedance imaging: an overview of potential clinical applications. The Analyst. 137(20). 4635–4635. 55 indexed citations
8.
Tizzard, Andrew, Andrea Borsic, Ryan J. Halter, & Richard Bayford. (2010). Generation and performance of patient-specific forward models for breast imaging with EIT. Journal of Physics Conference Series. 224. 12034–12034. 5 indexed citations
9.
Callaghan, Martina F., et al.. (2010). Tracking Conductivity Variations in the Absence of Accurate State Evolution Models in Electrical Impedance Tomography. International Conference on Bioinformatics and Biomedical Engineering. 1–6. 1 indexed citations
10.
Rahal, Mohamad, et al.. (2009). A comparison study of electrodes for neonate electrical impedance tomography. Physiological Measurement. 30(6). S73–S84. 28 indexed citations
11.
Adler, Andy, John H. Arnold, Richard Bayford, et al.. (2009). GREIT: a unified approach to 2D linear EIT reconstruction of lung images. Physiological Measurement. 30(6). S35–S55. 516 indexed citations breakdown →
12.
Dehghani, Hamid, Brian R. White, Benjamin W. Zeff, Andrew Tizzard, & Joseph P. Culver. (2009). Depth sensitivity and image reconstruction analysis of dense imaging arrays for mapping brain function with diffuse optical tomography. Applied Optics. 48(10). D137–D137. 118 indexed citations
13.
Bayford, Richard, et al.. (2008). Development of a neonate lung reconstruction algorithm using a wavelet AMG and estimated boundary form. Physiological Measurement. 29(6). S125–S138. 24 indexed citations
14.
Liston, Adam D., Andrew P. Bagshaw, JS Wyatt, et al.. (2007). Electrical impedance tomography (EIT) of neonatal brain activity. Clinical Neurophysiology. 118(5). e135–e135. 1 indexed citations
15.
Tizzard, Andrew & Richard Bayford. (2007). Improving the finite element forward model of the human head by warping using elastic deformation. Physiological Measurement. 28(7). S163–S182. 12 indexed citations
16.
Tizzard, Andrew, Lior Horesh, Rebecca Yerworth, David Holder, & Richard Bayford. (2005). Generating accurate finite element meshes for the forward model of the human head in EIT. Physiological Measurement. 26(2). S251–S261. 59 indexed citations
17.
Tizzard, Andrew, Richard Bayford, Lior Horesh, Rebecca Yerworth, & David Holder. (2004). Effects of warping finite element meshes for the forward model of the head in EIT. 1 indexed citations
18.
Horesh, Lior, et al.. (2004). Robustness of linear and non-linear reconstructions algorithms for brain EITS. Non-linear—is it worth the effort. Arthroscopy Techniques. 5(5). e1111–e1116. 4 indexed citations
19.
Bagshaw, Andrew P., Adam D. Liston, Richard Bayford, et al.. (2003). Electrical impedance tomography of human brain function using reconstruction algorithms based on the finite element method. NeuroImage. 20(2). 752–764. 116 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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