David A. Fish

764 citations
23 papers · 610 · h-index 9

Impact in

Papers in

David A. Fish

22 papers receiving 571 citations

Peers

David A. Fish
Comparison fields: 5 of 53
  • Computer Vision and Pattern Recognition 245
  • Media Technology 44
  • Instrumentation 11
  • Biophysics 28
  • Atomic and Molecular Physics, and Optics 88
Replace James L. Harris with:
James L. Harris United States
Patrick Llull United States
Jonathan Martin Mooney United States
Jumpei Tsujiuchi Japan
Kenneth J. Barnard United States
Kerkil Choi United States
Sehoon Lim United States
Zhimin Xu Hong Kong
David A. Fish relative to James L. Harris United States James L. Harris's profile →
Citations per field
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James L. Harris · 1×
Citations per year

Countries citing papers authored by David A. Fish

Since Specialization
Citations

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

Fields of papers citing papers by David A. Fish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside David A. Fish, 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 A. Fish Line = papers co-authored together David A. Fish links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995397
2 200533
3 199632
4 200526
5 200220
6 200417
7 199212
8 200512
9 20049
10 19928
11 19877
12 20047
13 19916
14 19936
15 19935
16 19935
17 19972
18 20062
19
Assessment of Methods Used for HST Image Reconstruction
19941
20 19971

About David A. Fish

David A. Fish is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Instrumentation and Biomedical Engineering, having authored 23 papers that have together received 610 indexed citations. Recurring topics across this work include Photorefractive and Nonlinear Optics (8 papers), Organic Light-Emitting Diodes Research (7 papers), Thin-Film Transistor Technologies (6 papers), Analog and Mixed-Signal Circuit Design (3 papers), Advanced Image Processing Techniques (3 papers), Organic Electronics and Photovoltaics (2 papers), Adaptive optics and wavefront sensing (2 papers) and Quantum optics and atomic interactions (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (245 citations), Media Technology (44 citations), Instrumentation (11 citations), Biophysics (28 citations) and Atomic and Molecular Physics, and Optics (88 citations). David A. Fish has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Edward R. Pike, J.G. Walker, Trevor James Hall, Jan Grochmalicki, Herbert Lifka, N. D. Young, S. C. Deane, Wouter Oepts, Nigel D. Young and Glenn E. Meyer. Their work appears in journals such as Optics Communications, Journal of the Society for Information Display, Journal of the Optical Society of America B, Journal of the Optical Society of America A and Journal of Modern Optics.

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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