R. K. Bryan

12 papers receiving 1.0k citations

R. K. Bryan's Hit Papers

Maximum entropy image reconstruction: general algorithm 1984 · 646 citations
6460+14+28Years since publication200400600

Peers

R. K. Bryan
Comparison fields: 5 of 102
  • Structural Biology 56
  • Biophysics 71
  • Astronomy and Astrophysics 164
  • Nuclear and High Energy Physics 116
  • Statistical and Nonlinear Physics 107
Replace G.J. Daniell with:
G.J. Daniell United Kingdom
D. C. Champeney United Kingdom
J. C. Solem United States
M. Groß France
Harold Metcalf United States
Egon Marx United States
Helmut Wiedemann United States
Sibusiso Sibisi United Kingdom
J. Beyer Germany
D. Drung Germany
R. K. Bryan relative to G.J. Daniell United Kingdom G.J. Daniell's profile →
Citations per field
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Citations per year

Countries citing papers authored by R. K. Bryan

Since Specialization
Citations

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

Fields of papers citing papers by R. K. Bryan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside R. K. Bryan, 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 R. K. Bryan Line = papers co-authored together R. K. Bryan links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Maximum entropy image reconstruction: general algorithm
Hit paper breakdown →
1984646
2 1990231
3 198043
4 198736
5 198433
6 198329
7 198925
8 199121
9 198612
10 199211
11
Estimation of missing cone data in three-dimensional electron microscopy.
198810
12 19862

About R. K. Bryan

R. K. Bryan is a scholar working on Molecular Biology, Statistical and Nonlinear Physics, Mathematical Physics, Ecology and Atomic and Molecular Physics, and Optics, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Statistical Mechanics and Entropy (3 papers), Complex Systems and Time Series Analysis (2 papers), Bacteriophages and microbial interactions (2 papers), Advanced Thermodynamics and Statistical Mechanics (2 papers), Protein Structure and Dynamics (2 papers), Numerical methods in inverse problems (2 papers), Electron and X-Ray Spectroscopy Techniques (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Structural Biology (56 citations), Biophysics (71 citations), Astronomy and Astrophysics (164 citations), Nuclear and High Energy Physics (116 citations) and Statistical and Nonlinear Physics (107 citations). R. K. Bryan has collaborated with scholars based in Germany and United Kingdom. Frequent co-authors include John Skilling, D.A. Marvin, C. Nave, R. Hegerl, Martin Barth, Jörg Langowski, Richard B. Freeman, Kevin Leonard, John Berriman and W. Folkhard. Their work appears in journals such as Ultramicroscopy, Monthly Notices of the Royal Astronomical Society, Macromolecules, European Biophysics Journal and Journal of Molecular Biology.

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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