Greg Smith

2.8k citations
69 papers · 1.0k · h-index 17

Impact in

Papers in

Greg Smith

66 papers receiving 992 citations

Peers

Greg Smith
Comparison fields: 5 of 74
  • Instrumentation 291
  • Astronomy and Astrophysics 307
  • Atomic and Molecular Physics, and Optics 490
  • Computer Vision and Pattern Recognition 122
  • Artificial Intelligence 167
Replace Jonathan A. Cox with:
Jonathan A. Cox United States
Morio Toyoshima Japan
Michael Lloyd‐Hart United States
Thomas Martin United States
Luc Gilles United States
Hanying Zhou United States
Eric J. Korevaar United States
Caroline Kulcsár France
Hiroo Kunimori Japan
A. Just Germany
Greg Smith relative to Jonathan A. Cox United States Jonathan A. Cox's profile →
Citations per field
00.5×3.2×
Jonathan A. Cox · 1×
Citations per year

Countries citing papers authored by Greg Smith

Since Specialization
Citations

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

Fields of papers citing papers by Greg Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006112
2 200483
3 200965
4 200463
5 200661
6 200647
7 200341
8 200140
9 200740
10 200435
11 200434
12 201932
13 199430
14 201627
15 201418
16 201417
17 200317
18 200416
19 201514
20 201914

About Greg Smith

Greg Smith is a scholar working on Atomic and Molecular Physics, and Optics, Instrumentation, Astronomy and Astrophysics, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 69 papers that have together received 1.0k indexed citations. Recurring topics across this work include Adaptive optics and wavefront sensing (27 papers), Astronomy and Astrophysical Research (21 papers), Optical measurement and interference techniques (14 papers), Stellar, planetary, and galactic studies (12 papers), Advanced Measurement and Metrology Techniques (10 papers), Cold Atom Physics and Bose-Einstein Condensates (6 papers), Advanced optical system design (6 papers) and Semiconductor Lasers and Optical Devices (5 papers). The work is most often cited by research in Instrumentation (291 citations), Astronomy and Astrophysics (307 citations), Atomic and Molecular Physics, and Optics (490 citations), Computer Vision and Pattern Recognition (122 citations) and Artificial Intelligence (167 citations). Greg Smith has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Poul Jessen, Ivan Deutsch, Andrew Silberfarb, James H. Burge, Allan Lankshear, L.D. Smith, Sherief Reda, Vladimir Churilov, Roger Haynes and Daewook Kim. Their work appears in journals such as Physical Review Letters, Applied Optics, Optical Engineering, Quarterly Review of Film and Video and Journal of Physics Photonics.

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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