P.J. Langlois

406 citations
32 papers · 277 indexed · h-index 10

Impact in

Papers in

P.J. Langlois

31 papers receiving 271 citations

Peers

P.J. Langlois
Comparison fields: 5 of 45
  • Cellular and Molecular Neuroscience 123
  • Biomedical Engineering 195
  • Cognitive Neuroscience 69
  • Electrical and Electronic Engineering 163
  • Bioengineering 15
Replace Kwonjoon Lee with:
Kwonjoon Lee South Korea
Sunjoo Hong South Korea
Alexander Astaras Greece
Kwang-Suk Park South Korea
Marcelo Haberman Argentina
Mohamad Rahal United Kingdom
Phil Corbishley United Kingdom
Jaeeun Jang South Korea
Bahareh Taji Canada
Rui Escadas Martins Portugal
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Citations per field
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Citations per year

Countries citing papers authored by P.J. Langlois

Since Specialization
Citations

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

Fields of papers citing papers by P.J. Langlois

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside P.J. Langlois, 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 P.J. Langlois Line = papers co-authored together P.J. Langlois links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20233
2 20212
3 20198
4 20192
5 201812
6 201513
7 201416
8 20115
9 20111
10 201017
11 200915
12
PSPICE models of excitable membranes
20061
13 200644
14
Realisation of a simple high-value grounded linear resistance in CMOS technology
20051
15 20052
16 20055
17 20031
18 19971
19 19954
20 19841

About P.J. Langlois

P.J. Langlois is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Biomedical Engineering, Instrumentation and Computer Networks and Communications, having authored 32 papers that have together received 277 indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (13 papers), Electrical and Bioimpedance Tomography (11 papers), Neuroscience and Neural Engineering (9 papers), Microfluidic and Bio-sensing Technologies (8 papers), Sensor Technology and Measurement Systems (6 papers), Semiconductor Lasers and Optical Devices (5 papers), Advanced Memory and Neural Computing (3 papers) and EEG and Brain-Computer Interfaces (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (123 citations), Biomedical Engineering (195 citations), Cognitive Neuroscience (69 citations), Electrical and Electronic Engineering (163 citations) and Bioengineering (15 citations). P.J. Langlois has collaborated with scholars based in United Kingdom, Taiwan and Germany. Frequent co-authors include Andreas Demosthenous, Nick Donaldson, J. Taylor, Robert Rieger, Richard Bayford, Yu Wu, Dipankar Pal, Martin Schüettler, Dai Jiang and Iasonas F. Triantis. Their work appears in journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Biomedical Circuits and Systems, IEEE Transactions on Circuits & Systems II Express Briefs, IEEE Transactions on Neural Systems and Rehabilitation Engineering and Physiological Measurement.

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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