G. R. Ayers

888 citations
6 papers · 654 · 1 hit paper · h-index 4

Impact in

Papers in

G. R. Ayers

6 papers receiving 609 citations

G. R. Ayers's Hit Papers

Iterative blind deconvolution method and its applications 1988 · 490 citations
4900+12+25Years since publication100200300400

Peers

G. R. Ayers
Comparison fields: 5 of 57
  • Acoustics and Ultrasonics 24
  • Media Technology 223
  • Computer Vision and Pattern Recognition 393
  • Radiation 115
  • Structural Biology 12
Replace Joseph C. Marron with:
Joseph C. Marron United States
Hongchen Zhai China
Sehoon Lim United States
Kerkil Choi United States
Thomas R. Crimmins United States
Malcolm J. Northcott United States
Markku Mäkitalo Finland
Li Song China
J. A. Jordan United States
John H. Seldin United States
G. R. Ayers relative to Joseph C. Marron United States Joseph C. Marron's profile →
Citations per field
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Citations per year

Countries citing papers authored by G. R. Ayers

Since Specialization
Citations

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

Fields of papers citing papers by G. R. Ayers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. R. Ayers. 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 G. R. Ayers. The network helps show where G. R. Ayers may publish in the future.

Co-authors

The 4 scholars most cited alongside G. R. Ayers, 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 G. R. Ayers Line = papers co-authored together G. R. Ayers links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
Iterative blind deconvolution method and its applications
Hit paper breakdown →
1988490
2 1988103
3 198851
4 19894
5 19873
6 19903

About G. R. Ayers

G. R. Ayers is a scholar working on Atomic and Molecular Physics, and Optics, Radiation, Astronomy and Astrophysics, Computer Vision and Pattern Recognition and Instrumentation, having authored 6 papers that have together received 654 indexed citations. Recurring topics across this work include Advanced X-ray Imaging Techniques (4 papers), Adaptive optics and wavefront sensing (3 papers), Digital Holography and Microscopy (3 papers), Optical measurement and interference techniques (1 paper), NMR spectroscopy and applications (1 paper), Astronomy and Astrophysical Research (1 paper), Image Processing Techniques and Applications (1 paper) and Random lasers and scattering media (1 paper). The work is most often cited by research in Acoustics and Ultrasonics (24 citations), Media Technology (223 citations), Computer Vision and Pattern Recognition (393 citations), Radiation (115 citations) and Structural Biology (12 citations). G. R. Ayers has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include J. C. Dainty, Malcolm J. Northcott, H. M. Dyck and E. J. Spillar. Their work appears in journals such as Journal of the Optical Society of America A, Optics Letters, The Astrophysical Journal and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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