David C. Redding

102 papers receiving 909 citations

Peers

David C. Redding
Comparison fields: 5 of 63
  • Instrumentation 158
  • Atomic and Molecular Physics, and Optics 608
  • Astronomy and Astrophysics 313
  • Computer Vision and Pattern Recognition 211
  • Aerospace Engineering 240
Replace Mitchell Troy with:
Mitchell Troy United States
Michael Lloyd‐Hart United States
Daniele Gallieni Italy
Niek Doelman Netherlands
Douglas L. McMakin United States
Charles L. Matson United States
D. I. Robertson United Kingdom
Thomas Bertram Germany
Don M. Boroson United States
R.H. MacPhie Canada
David C. Redding relative to Mitchell Troy United States Mitchell Troy's profile →
Citations per field
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Citations per year

Countries citing papers authored by David C. Redding

Since Specialization
Citations

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

Fields of papers citing papers by David C. Redding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David C. Redding. 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 David C. Redding. The network helps show where David C. Redding may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198962
2 200454
3 201041
4 198441
5 199840
6 200437
7 201636
8 201530
9 199128
10 201628
11 200327
12 199324
13 200822
14 201222
15 200621
16 198420
17 199817
18 201716
19 201414
20 200014

About David C. Redding

David C. Redding is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Astronomy and Astrophysics, Instrumentation and Biomedical Engineering, having authored 110 papers that have together received 970 indexed citations. Recurring topics across this work include Adaptive optics and wavefront sensing (80 papers), Astronomy and Astrophysical Research (36 papers), Stellar, planetary, and galactic studies (31 papers), Optical Systems and Laser Technology (26 papers), Advanced optical system design (21 papers), Optical measurement and interference techniques (14 papers), Space Satellite Systems and Control (9 papers) and Advanced Measurement and Metrology Techniques (7 papers). The work is most often cited by research in Instrumentation (158 citations), Atomic and Molecular Physics, and Optics (608 citations), Astronomy and Astrophysics (313 citations), Computer Vision and Pattern Recognition (211 citations) and Aerospace Engineering (240 citations). David C. Redding has collaborated with scholars based in United States. Frequent co-authors include Fang Shi, Scott A. Basinger, Catherine M. Ohara, J. V. Breakwell, Joseph J. Green, Andrew E. Lowman, Matthew R. Bolcar, Lee D. Feinberg, Troy W. Barbee and Stuart Shaklan. Their work appears in journals such as Journal of Guidance Control and Dynamics, Journal of Astronomical Telescopes Instruments and Systems, Journal of the Optical Society of America A, Notes and Queries and Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy.

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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