David Biggs

1.4k citations
15 papers · 948 · h-index 9

Impact in

Papers in

David Biggs

15 papers receiving 885 citations

Peers

David Biggs
Comparison fields: 5 of 175
  • Biophysics 137
  • Structural Biology 22
  • Media Technology 91
  • Acoustics and Ultrasonics 9
  • Computer Vision and Pattern Recognition 183
Replace Pierre Charbonnier with:
Pierre Charbonnier France
Gilles Louppe Belgium
Will Schroeder United States
Feng Liang United States
Fernando Loizides United Kingdom
Robert S. Ledley United States
Ivan Viola Austria
Miguel Luengo-Oroz Spain
Richard W. Harris United States
Jeff Hecht United States
David Biggs relative to Pierre Charbonnier France Pierre Charbonnier's profile →
Citations per field
00.5×3.2×
Pierre Charbonnier · 1×
Citations per year

Countries citing papers authored by David Biggs

Since Specialization
Citations

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

Fields of papers citing papers by David Biggs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside David Biggs, 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 Biggs Line = papers co-authored together David Biggs links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1991422
2 1997314
3 201067
4 200841
5 201725
6 201018
7 199516
8 199816
9 201710
10 20026
11 20046
12 20092
13 20072
14 20142
15 20171

About David Biggs

David Biggs is a scholar working on Radiation, Atomic and Molecular Physics, and Optics, Biophysics, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 948 indexed citations. Recurring topics across this work include Advanced X-ray Imaging Techniques (10 papers), Advanced Fluorescence Microscopy Techniques (6 papers), Adaptive optics and wavefront sensing (3 papers), Photoacoustic and Ultrasonic Imaging (3 papers), Digital Holography and Microscopy (3 papers), Optical Coherence Tomography Applications (2 papers), Electron and X-Ray Spectroscopy Techniques (2 papers) and Forest Ecology and Biodiversity Studies (1 paper). The work is most often cited by research in Biophysics (137 citations), Structural Biology (22 citations), Media Technology (91 citations), Acoustics and Ultrasonics (9 citations) and Computer Vision and Pattern Recognition (183 citations). David Biggs has collaborated with scholars based in United States and New Zealand. Frequent co-authors include Mark Andrews, Barry de Ville, Michael Shribak, James R. LaFountain, Kieran G. Larkin, Timothy Holmes, Alexey Khodjakov, Glenn Fried, Kimani C. Toussaint and Gang Logan Liu. Their work appears in journals such as Journal of Biomedical Optics, Environmental History, Current Protocols in Cytometry, Journal of Microscopy and Microscopy and Microanalysis.

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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