Gregery T. Buzzard

2.2k total citations · 1 hit paper
102 papers, 1.4k citations indexed

About

Gregery T. Buzzard is a scholar working on Molecular Biology, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Gregery T. Buzzard has authored 102 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 20 papers in Biomedical Engineering and 17 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Gregery T. Buzzard's work include Medical Imaging Techniques and Applications (16 papers), Gene Regulatory Network Analysis (16 papers) and Advanced Differential Equations and Dynamical Systems (10 papers). Gregery T. Buzzard is often cited by papers focused on Medical Imaging Techniques and Applications (16 papers), Gene Regulatory Network Analysis (16 papers) and Advanced Differential Equations and Dynamical Systems (10 papers). Gregery T. Buzzard collaborates with scholars based in United States, France and Saudi Arabia. Gregery T. Buzzard's co-authors include Ann E. Rundell, Charles A. Bouman, Ankush Chakrabarty, Stanisław H. Żak, Jason N. Bazil, M. Corless, Brendt Wohlberg, Bradley J. Lucier, Ulugbek S. Kamilov and Dongbin Xiu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Analytical Chemistry and IEEE Transactions on Automatic Control.

In The Last Decade

Gregery T. Buzzard

95 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Plug-and-Play Methods for Integrating Physical and Learned Models in Computational Imaging: Theory, algorithms, and applications

2023 92 citations Charles A. Bouman, Gregery T. Buzzard et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Gregery T. Buzzard United States	19	233	218	189	143	137	102	1.4k
Clayton Scott United States	30	131 0.6×	105 0.5×	220 1.2×	122 0.9×	24 0.2×	111	2.4k
J. A. Scott United Kingdom	22	76 0.3×	35 0.2×	146 0.8×	164 1.1×	43 0.3×	145	1.8k
Dejan Slepčev United States	19	55 0.2×	77 0.4×	38 0.2×	57 0.4×	47 0.3×	43	1.3k
Markus Hegland Australia	17	50 0.2×	125 0.6×	60 0.3×	28 0.2×	22 0.2×	103	991
Piero Colli Franzone Italy	22	97 0.4×	199 0.9×	214 1.1×	149 1.0×	75 0.5×	50	1.5k
Alfonso Bueno‐Orovio United Kingdom	28	76 0.3×	964 4.4×	213 1.1×	146 1.0×	32 0.2×	95	3.1k
Ralph Hartley United States	11	78 0.3×	85 0.4×	73 0.4×	99 0.7×	35 0.3×	18	1.6k
Aslak Tveito Norway	26	101 0.4×	377 1.7×	274 1.4×	72 0.5×	75 0.5×	106	2.0k
Michele Pavon Italy	22	400 1.7×	86 0.4×	57 0.3×	30 0.2×	5 0.0×	86	1.5k

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-authorship network of co-authors of Gregery T. Buzzard

This figure shows the co-authorship network connecting the top 25 collaborators of Gregery T. Buzzard. A scholar is included among the top collaborators of Gregery T. Buzzard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gregery T. Buzzard. Gregery T. Buzzard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Venkatakrishnan, Singanallur, et al.. (2025). An Adaptive View Selection Algorithm for Large-scale Cone-Beam CT Reconstruction. e-Journal of Nondestructive Testing. 30(2).

Maltz, Jonathan S., et al.. (2024). MACE CT reconstruction for modular material decomposition from energy resolving photon-counting data. 4–4. 1 indexed citations

Venkatakrishnan, Singanallur, Diyu Yang, George J. Nelson, et al.. (2024). A machine learning decision criterion for reducing scan time for hyperspectral neutron computed tomography systems. Scientific Reports. 14(1). 15171–15171. 2 indexed citations

Cao, Ziyi, et al.. (2020). Multiagent Consensus Equilibrium in Molecular Structure Determination. The Journal of Physical Chemistry A. 124(43). 9105–9112. 1 indexed citations

Raha, Arnab, Ankush Chakrabarty, Vijay Raghunathan, & Gregery T. Buzzard. (2019). Embedding Approximate Nonlinear Model Predictive Control at Ultrahigh Speed and Extremely Low Power. IEEE Transactions on Control Systems Technology. 28(3). 1092–1099. 18 indexed citations

Zhang, Shijie, Dong Hye Ye, Azhad U. Chowdhury, et al.. (2018). Dynamic Sparse Sampling for Confocal Raman Microscopy. Analytical Chemistry. 90(7). 4461–4469. 22 indexed citations

Chakrabarty, Ankush, Ann E. Rundell, Stanisław H. Żak, Fanglai Zhu, & Gregery T. Buzzard. (2018). Unknown Input Estimation for Nonlinear Systems Using Sliding Mode Observers and Smooth Window Functions. SIAM Journal on Control and Optimization. 56(5). 3619–3641. 11 indexed citations

Buzzard, Gregery T., Antonin Chambolle, Jonathan Cohen, Stacey Levine, & Bradley J. Lucier. (2018). Pointwise Besov Space Smoothing of Images. Journal of Mathematical Imaging and Vision. 61(1). 1–20. 3 indexed citations

Buzzard, Gregery T., et al.. (2018). Maximally informative next experiments for nonlinear models. Mathematical Biosciences. 302. 1–8. 7 indexed citations

10.

Chakrabarty, Ankush, M. Corless, Gregery T. Buzzard, Stanisław H. Żak, & Ann E. Rundell. (2017). State and Unknown Input Observers for Nonlinear Systems With Bounded Exogenous Inputs. IEEE Transactions on Automatic Control. 62(11). 5497–5510. 67 indexed citations

11.

Ye, Dong Hye, et al.. (2017). A Framework for Dynamic Image Sampling Based on Supervised Learning. IEEE Transactions on Computational Imaging. 4(1). 1–16. 18 indexed citations

12.

Ye, Dong Hye, David J. Kissick, Shijie Zhang, et al.. (2016). Dynamic X-ray diffraction sampling for protein crystal positioning. Journal of Synchrotron Radiation. 24(1). 188–195. 16 indexed citations

13.

Harrison, Marietta L., et al.. (2014). Multiple Model-Informed Open-Loop Control of Uncertain Intracellular Signaling Dynamics. PLoS Computational Biology. 10(4). e1003546–e1003546. 5 indexed citations

14.

Chakrabarty, Ankush, Gregery T. Buzzard, & Ann E. Rundell. (2013). Model‐based design of experiments for cellular processes. WIREs Systems Biology and Medicine. 5(2). 181–203. 30 indexed citations

15.

Buzzard, Gregery T., et al.. (2011). Secreted, receptor-associated bone morphogenetic protein regulators reduce stochastic noise intrinsic to many extracellular morphogen distributions. Journal of The Royal Society Interface. 9(70). 1073–1083. 13 indexed citations

16.

Bazil, Jason N., Gregery T. Buzzard, & Ann E. Rundell. (2011). A Global Parallel Model Based Design of Experiments Method to Minimize Model Output Uncertainty. Bulletin of Mathematical Biology. 74(3). 688–716. 23 indexed citations

17.

Bazil, Jason N., Gregery T. Buzzard, & Ann E. Rundell. (2010). A bioenergetic model of the mitochondrial population undergoing permeability transition. Journal of Theoretical Biology. 265(4). 672–690. 16 indexed citations

18.

Zhou, Qinlian, Andrew C. Zygmunt, Jonathan M. Cordeiro, et al.. (2009). Identification of I Kr Kinetics and Drug Binding in Native Myocytes. Annals of Biomedical Engineering. 37(7). 1294–1309. 15 indexed citations

19.

Zheng, Yanan, V. Balakrishnan, Gregery T. Buzzard, et al.. (2005). Modeling and analysis of early events in T-lymphocyte antigen-activated intracellular-signaling pathways. Journal of Computational and Applied Mathematics. 184(1). 320–341. 7 indexed citations

20.

Buzzard, Gregery T., et al.. (1996). An embedding of C in C 2 with hyperbolic complement. Mathematische Annalen. 306(3). 539–546. 12 indexed citations

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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