Wayne Woods

542 citations
30 papers · 317 · h-index 9

Impact in

Papers in

Wayne Woods

23 papers receiving 299 citations

Peers

Wayne Woods
Comparison fields: 5 of 32
  • Electrical and Electronic Engineering 232
  • Atomic and Molecular Physics, and Optics 100
  • Condensed Matter Physics 31
  • Artificial Intelligence 68
  • Hardware and Architecture 11
Replace R. Barth with:
R. Barth Germany
Masashi Ohkawa Japan
Martin A. Wolff Germany
Hongliang Lü China
Matteo Repossi Italy
B. Blampey France
Prasahnt Sivarajah United States
Ricardo Aroca Canada
Ts. Ivanov Belgium
Adilson S. Cardoso United States
Wayne Woods relative to R. Barth Germany R. Barth's profile →
Citations per field
00.5×8.5×
R. Barth · 1×
Citations per year

Countries citing papers authored by Wayne Woods

Since Specialization
Citations

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

Fields of papers citing papers by Wayne Woods

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wayne Woods, 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 Wayne Woods Line = papers co-authored together Wayne Woods links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201882
2 201340
3 202038
4 201527
5 200624
6 200423
7 200411
8 200810
9 200810
10 20238
11 20088
12 20096
13 20106
14 20114
15
The Tribal Environment and Natural Resources Management Approach to Indian Education and Student Assessment.
20033
16 20073
17 20112
18 20102
19 20022
20 20102

About Wayne Woods

Wayne Woods is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Hardware and Architecture, Artificial Intelligence and Condensed Matter Physics, having authored 30 papers that have together received 317 indexed citations. Recurring topics across this work include Radio Frequency Integrated Circuit Design (17 papers), Microwave Engineering and Waveguides (14 papers), Electromagnetic Compatibility and Noise Suppression (13 papers), 3D IC and TSV technologies (6 papers), VLSI and Analog Circuit Testing (3 papers), Millimeter-Wave Propagation and Modeling (3 papers), Quantum Information and Cryptography (2 papers) and Advanced MEMS and NEMS Technologies (2 papers). The work is most often cited by research in Electrical and Electronic Engineering (232 citations), Atomic and Molecular Physics, and Optics (100 citations), Condensed Matter Physics (31 citations), Artificial Intelligence (68 citations) and Hardware and Architecture (11 citations). Wayne Woods has collaborated with scholars based in United States, Singapore and Israel. Frequent co-authors include Hanyi Ding, Guoan Wang, Alberto Valdes‐Garcia, David Kim, William D. Oliver, K. Vaed, Alexander Melville, Greg Calusine, D. Rosenberg and David Hover. Their work appears in journals such as American Indian Culture and Research Journal, Applied Physics Letters, IEEE Microwave Magazine, Microwave and Optical Technology Letters and IEEE Transactions on Microwave Theory and Techniques.

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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