Todd Wey

404 citations
17 papers · 313 · h-index 7

Impact in

Papers in

Todd Wey

16 papers receiving 291 citations

Peers

Todd Wey
Comparison fields: 5 of 30
  • Cellular and Molecular Neuroscience 182
  • Electrical and Electronic Engineering 301
  • Statistical and Nonlinear Physics 48
  • Cognitive Neuroscience 73
  • Polymers and Plastics 19
Replace Mohamad Moner Al Chawa with:
Mohamad Moner Al Chawa Spain
Stanley Rogers United States
H.L. Fiedler Germany
Ioannis Messaris Germany
Mohammad Bavandpour United States
Iosif-Angelos Fyrigos Greece
R MacFarlane Douglas United Kingdom
Son Ngoc Truong South Korea
Myonglae Chu South Korea
Todd Wey relative to Mohamad Moner Al Chawa Spain Mohamad Moner Al Chawa's profile →
Citations per field
00.5×3.3×
Mohamad Moner Al Chawa · 1×
Citations per year

Countries citing papers authored by Todd Wey

Since Specialization
Citations

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

Fields of papers citing papers by Todd Wey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Todd Wey, 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 Todd Wey Line = papers co-authored together Todd Wey links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2009169
2 201142
3 200941
4 201217
5 201011
6 200011
7 20146
8 20064
9 20073
10
ON NONLINEAR CIRCUIT COMPONENTS WITH N-SHAPED CONDUCTANCE CHARACTERISTICS
19952
11 20092
12 20121
13 20021
14 20101
15 20181
16 20061
17 20180

About Todd Wey

Todd Wey is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 17 papers that have together received 313 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (8 papers), Neuroscience and Neural Engineering (7 papers), Ferroelectric and Negative Capacitance Devices (4 papers), Advancements in PLL and VCO Technologies (2 papers), stochastic dynamics and bifurcation (2 papers), Semiconductor Lasers and Optical Devices (2 papers), Photonic and Optical Devices (2 papers) and Acoustic Wave Resonator Technologies (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (182 citations), Electrical and Electronic Engineering (301 citations), Statistical and Nonlinear Physics (48 citations), Cognitive Neuroscience (73 citations) and Polymers and Plastics (19 citations). Todd Wey has collaborated with scholars based in United States and Taiwan. Frequent co-authors include William D. Jemison, Evgeny Katz, Duy Khanh Pham, Kevin MacVittie, A. Paolella and Yifei Li. Their work appears in journals such as Electronics Letters, Proceedings of the IEEE, Analog Integrated Circuits and Signal Processing, IEEE Spectrum and IET Circuits Devices & Systems.

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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