Gregery T. Buzzard

95 papers receiving 1.3k citations

Gregery T. Buzzard's Hit Papers

Plug-and-Play Methods for Integrating Physical and Learned Models in Computational Imaging: Theory, algorithms, and applications 2023 · 103 citations
1030+1+2Years since publication255075100

Peers

Gregery T. Buzzard
Comparison fields: 5 of 126
  • Biophysics 143
  • Statistics, Probability and Uncertainty 128
  • Structural Biology 25
  • Acoustics and Ultrasonics 14
  • Hardware and Architecture 72
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Countries citing papers authored by Gregery T. Buzzard

Since Specialization
Citations

This map shows the geographic impact of Gregery T. Buzzard'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 Gregery T. Buzzard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregery T. Buzzard more than expected).

Fields of papers citing papers by Gregery T. Buzzard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregery T. Buzzard. 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 Gregery T. Buzzard. The network helps show where Gregery T. Buzzard may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020141
2
Plug-and-Play Methods for Integrating Physical and Learned Models in Computational Imaging: Theory, algorithms, and applications
Hit paper breakdown →
2023103
3 199678
4 201768
5 201163
6 200953
7 201653
8 201041
9 201237
10 201332
11 201329
12 201829
13 201823
14 201123
15 201721
16 201620
17 199720
18 201419
19 201719
20 201918

About Gregery T. Buzzard

Gregery T. Buzzard is a scholar working on Molecular Biology, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Control and Systems Engineering and Geometry and Topology, having authored 102 papers that have together received 1.3k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (16 papers), Gene Regulatory Network Analysis (16 papers), Advanced Differential Equations and Dynamical Systems (10 papers), Photoacoustic and Ultrasonic Imaging (10 papers), Fault Detection and Control Systems (9 papers), Mathematical Dynamics and Fractals (9 papers), Control Systems and Identification (8 papers) and Probabilistic and Robust Engineering Design (8 papers). The work is most often cited by research in Biophysics (143 citations), Statistics, Probability and Uncertainty (128 citations), Structural Biology (25 citations), Acoustics and Ultrasonics (14 citations) and Hardware and Architecture (72 citations). Gregery T. Buzzard has collaborated with scholars based in United States, Saudi Arabia and France. Frequent co-authors include Ann E. Rundell, Charles A. Bouman, Ankush Chakrabarty, Stanisław H. Żak, Jason N. Bazil, Brendt Wohlberg, Ulugbek S. Kamilov, M. Corless, Bradley J. Lucier and Dongbin Xiu. Their work appears in journals such as PLoS Computational Biology, IEEE Transactions on Computational Imaging, Indiana University Mathematics Journal, Mathematische Annalen and IEEE Transactions on Biomedical Engineering.

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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