J. Taylor

3.2k citations
151 papers · 2.4k indexed · 1 hit paper · h-index 25

J. Taylor

132 papers receiving 2.3k citations

Hit Papers

Pyroelectric materials and devices for energy harvesting ...6772014202620182022200400600

Peers

J. Taylor
Comparison fields: 5 of 116
  • Biomedical Engineering 1.5k
  • Cellular and Molecular Neuroscience 619
  • Cognitive Neuroscience 447
  • Electrical and Electronic Engineering 855
  • Materials Chemistry 669
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Citations per field
00.5×6.7×
Young‐Geun Park · 1×
Citations per year

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

The 25 scholars most cited alongside J. Taylor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J. Taylor Line = papers co-authored together J. Taylor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20230
2 20223
3 20210
4 20203
5 20172
6 201635
7 201573
8 201514
9 201343
10 20118
11 200644
12 200612
13 200512
14
A CMOS adaptive interference reduction system for nerve cuff recordings
20027
15
A 100 Mb/s, 2.8 V CMOS current-mode analogue Viterbi decoder
20011
16 200021
17 200031
18 19992
19
The design of switched capacitor filter circuits for GaAs MSI technology
19892
20
An improved characterisation technique for amplifiers used in high-speed switched-capacitor circuits
19893

About J. Taylor

J. Taylor is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering and Cognitive Neuroscience, having authored 151 papers that have together received 2.4k indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (49 papers), Neuroscience and Neural Engineering (46 papers), EEG and Brain-Computer Interfaces (28 papers), Muscle activation and electromyography studies (19 papers), Innovative Energy Harvesting Technologies (17 papers), Advanced Memory and Neural Computing (14 papers), Advancements in PLL and VCO Technologies (13 papers) and Radio Frequency Integrated Circuit Design (12 papers). The work is most often cited by research in Biomedical Engineering (1.5k citations), Cellular and Molecular Neuroscience (619 citations) and Cognitive Neuroscience (447 citations). J. Taylor has collaborated with scholars based in United Kingdom, Taiwan and United States. Frequent co-authors include Chris Bowen, Daniel Zabek, Nick Donaldson, Aditya Chauhan, Rahul Vaish, Robert Rieger, Andreas Demosthenous, James Roscow, Martin Schüettler and Emmanuel Le Boulbar. Their work appears in journals such as Electronics Letters, IEEE Transactions on Neural Systems and Rehabilitation Engineering, IEEE Journal of Solid-State Circuits, Analog Integrated Circuits and Signal Processing and Energy & Environmental Science.

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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