J. Taylor

3.2k total citations · 1 hit paper
151 papers, 2.4k citations indexed

About

J. Taylor is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, J. Taylor has authored 151 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Biomedical Engineering, 71 papers in Electrical and Electronic Engineering and 46 papers in Cellular and Molecular Neuroscience. Recurrent topics in J. Taylor's work include Analog and Mixed-Signal Circuit Design (49 papers), Neuroscience and Neural Engineering (46 papers) and EEG and Brain-Computer Interfaces (28 papers). J. Taylor is often cited by papers focused on Analog and Mixed-Signal Circuit Design (49 papers), Neuroscience and Neural Engineering (46 papers) and EEG and Brain-Computer Interfaces (28 papers). J. Taylor collaborates with scholars based in United Kingdom, Taiwan and United States. J. Taylor's co-authors include Chris Bowen, Daniel Zabek, Nick Donaldson, Rahul Vaish, Aditya Chauhan, Robert Rieger, Andreas Demosthenous, James Roscow, Martin Schüettler and Emmanuel Le Boulbar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energy & Environmental Science and Journal of Applied Physics.

In The Last Decade

J. Taylor

132 papers receiving 2.3k citations

Hit Papers

Pyroelectric materials and devices for energy harvesting ... 2014 2026 2018 2022 2014 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Taylor United Kingdom 25 1.5k 855 669 619 469 151 2.4k
Young‐Geun Park South Korea 28 2.3k 1.5× 1.4k 1.7× 443 0.7× 530 0.9× 449 1.0× 53 3.4k
Han Eol Lee South Korea 27 1.5k 1.0× 1.2k 1.4× 907 1.4× 281 0.5× 372 0.8× 81 2.8k
Jiuk Jang South Korea 24 1.8k 1.2× 1.2k 1.4× 349 0.5× 363 0.6× 232 0.5× 31 2.6k
Yuyao Lu China 21 2.0k 1.3× 1.1k 1.3× 420 0.6× 191 0.3× 224 0.5× 57 2.8k
Young Bum Lee South Korea 17 2.4k 1.6× 1.3k 1.5× 797 1.2× 243 0.4× 288 0.6× 47 3.5k
Chong Hou China 22 1.2k 0.8× 922 1.1× 301 0.4× 534 0.9× 210 0.4× 64 2.5k
Fabien Sorin Switzerland 31 1.9k 1.2× 1.8k 2.1× 518 0.8× 164 0.3× 511 1.1× 81 3.4k
Guangyang Gou China 26 1.2k 0.8× 1.4k 1.7× 968 1.4× 288 0.5× 123 0.3× 55 2.6k
Tyler R. Ray United States 21 2.6k 1.7× 933 1.1× 293 0.4× 264 0.4× 225 0.5× 30 3.2k

Countries citing papers authored by J. Taylor

Since Specialization
Citations

This map shows the geographic impact of J. Taylor'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 J. Taylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Taylor more than expected).

Fields of papers citing papers by J. Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Taylor. 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 J. Taylor. The network helps show where J. Taylor may publish in the future.

Co-authorship network of co-authors of J. Taylor

This figure shows the co-authorship network connecting the top 25 collaborators of J. Taylor. A scholar is included among the top collaborators of J. Taylor 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 J. Taylor. J. Taylor 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.
Taylor, Joseph D., Ashok Chauhan, J. Taylor, Andrey Shilnikov, & Alain Nogaret. (2022). Noise-activated barrier crossing in multiattractor dissipative neural networks. Physical review. E. 105(6). 64203–64203. 3 indexed citations
2.
Taylor, J., et al.. (2017). Hip and knee arthroplasty. InnovAiT Education and inspiration for general practice. 11(1). 20–27. 2 indexed citations
3.
Roscow, James, V. Yu. Topolov, J. Taylor, & Chris Bowen. (2017). Piezoelectric anisotropy and energy-harvesting characteristics of novel sandwich layer BaTiO3structures. Smart Materials and Structures. 26(10). 105006–105006. 7 indexed citations
4.
Schüettler, Martin, et al.. (2013). Fibre-selective recording from the peripheral nerves of frogs using a multi-electrode cuff. Journal of Neural Engineering. 10(3). 36016–36016. 43 indexed citations
5.
Clarke, Christopher T., et al.. (2013). Improved Signal Processing Methods for Velocity Selective Neural Recording Using Multi-Electrode Cuffs. IEEE Transactions on Biomedical Circuits and Systems. 8(3). 401–410. 5 indexed citations
6.
Taylor, J., Martin Schüettler, Christopher Clarke, & Nick Donaldson. (2011). A summary of the theory of velocity selective neural recording. PubMed. 2011. 4649–4652. 8 indexed citations
7.
Bowen, Chris, et al.. (2009). Formation of a porous alumina electrode as a low-cost CMOS neuronal interface. Sensors and Actuators B Chemical. 138(1). 296–303. 28 indexed citations
8.
Rieger, Robert, Martin Schüettler, Dipankar Pal, et al.. (2006). Very Low-Noise ENG Amplifier System Using CMOS Technology. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 14(4). 427–437. 44 indexed citations
9.
Schüettler, Martin, et al.. (2006). Velocity-Selective Recording from Frog Nerve Using a Multi-Contact Cuff Electrode. PubMed. 2006. 2962–2965. 12 indexed citations
10.
Taylor, J., et al.. (2005). Towards the world-wide ban of indoor cigarette smoking in public places. International Journal of Hygiene and Environmental Health. 209(1). 1–14. 12 indexed citations
11.
Taylor, J., et al.. (2003). Novel tunable GaAs MESFET OTA-C integrators suitable for high precision filtering applications. 1. 212–215. 1 indexed citations
12.
Triantis, Iasonas F., Robert Rieger, J. Taylor, Andreas Demosthenous, & Nick Donaldson. (2002). A CMOS adaptive interference reduction system for nerve cuff recordings. UCL Discovery (University College London). 113–116. 7 indexed citations
13.
Demosthenous, Andreas, Claude Verdier, & J. Taylor. (2002). A new architecture for low power analogue convolutional decoders. 1. 37–40. 9 indexed citations
14.
Demosthenous, Andreas & J. Taylor. (2001). A 100 Mb/s, 2.8 V CMOS current-mode analogue Viterbi decoder. UCL Discovery (University College London). 1 indexed citations
15.
Rahal, Mohamad, Jessica O. Winter, J. Taylor, & Nick Donaldson. (2000). An improved configuration for the reduction of EMG in electrode cuff recordings: a theoretical approach. IEEE Transactions on Biomedical Engineering. 47(9). 1281–1284. 31 indexed citations
16.
Rahal, Mohamad, J. Taylor, & Nick Donaldson. (2000). The effect of nerve cuff geometry on interference reduction: a study by computer modeling. IEEE Transactions on Biomedical Engineering. 47(1). 136–138. 21 indexed citations
17.
Taylor, J., et al.. (1992). Fully balanced tunable GaAs MESFET OTA-C integrator suitable for high precision filtering applications. Electronics Letters. 28(6). 537–539. 3 indexed citations
18.
Haigh, D.G., et al.. (1989). The design of switched capacitor filter circuits for GaAs MSI technology. 32–36. 2 indexed citations
19.
Taylor, J., et al.. (1989). An improved characterisation technique for amplifiers used in high-speed switched-capacitor circuits. 309–314. 3 indexed citations
20.
Taylor, J., et al.. (1988). Time-multiplexed analogue circuit for implementing artificial neural networks. Electronics Letters. 24(23). 1413–1414. 1 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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