W. E. Shanks

952 citations
13 papers · 661 indexed · h-index 10

W. E. Shanks

12 papers receiving 651 citations

Peers

W. E. Shanks
Comparison fields: 5 of 42
  • Atomic and Molecular Physics, and Optics 577
  • Artificial Intelligence 193
  • Statistical and Nonlinear Physics 74
  • Condensed Matter Physics 70
  • Electrical and Electronic Engineering 197
Replace Marcin Szyniszewski with:
Marcin Szyniszewski United Kingdom
Kangxian Guo China
Dany Lachance-Quirion Canada
Eli Levenson-Falk United States
Diego Frustaglia Spain
H. le Sueur France
Youbin Yu China
M. D. Schroer United States
Zav Shotan Israel
J. G. E. Harris United States
W. E. Shanks relative to Marcin Szyniszewski United Kingdom Marcin Szyniszewski's profile →
Citations per field
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Marcin Szyniszewski · 1×
Citations per year

Countries citing papers authored by W. E. Shanks

Since Specialization
Citations

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

Fields of papers citing papers by W. E. Shanks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. E. Shanks. 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 W. E. Shanks. The network helps show where W. E. Shanks may publish in the future.

Co-authorship network

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

All Works

13 of 13 papers shown
#Work
1 20251
2 20250
3 202327
4 202210
5 202215
6 20195
7 201612
8 201324
9 201324
10 2012154
11 201014
12 2009238
13 2008137

About W. E. Shanks

W. E. Shanks is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Radiation, Nuclear and High Energy Physics and Electrical and Electronic Engineering, having authored 13 papers that have together received 661 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (7 papers), Quantum and electron transport phenomena (5 papers), Mechanical and Optical Resonators (4 papers), Cold Atom Physics and Bose-Einstein Condensates (3 papers), Quantum Computing Algorithms and Architecture (3 papers), Force Microscopy Techniques and Applications (2 papers), Quantum Mechanics and Applications (2 papers) and Advanced MEMS and NEMS Technologies (1 paper). The work is most often cited by research in Atomic and Molecular Physics, and Optics (577 citations), Artificial Intelligence (193 citations), Statistical and Nonlinear Physics (74 citations), Condensed Matter Physics (70 citations) and Electrical and Electronic Engineering (197 citations). W. E. Shanks has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Ania C. Bleszynski Jayich, Devin Underwood, Andrew Houck, J. G. E. Harris, Jens Koch, L. I. Glazman, Eran Ginossar, Felix von Oppen, Bruno Peaudecerf and Andrew M. Jayich. Their work appears in journals such as Physical Review X, Physical Review Letters, Physical Review Applied, Science and AIP Advances.

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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