Michael E. Glinsky

5.8k total citations · 2 hit papers
73 papers, 3.8k citations indexed

About

Michael E. Glinsky is a scholar working on Ocean Engineering, Geophysics and Mechanics of Materials. According to data from OpenAlex, Michael E. Glinsky has authored 73 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Ocean Engineering, 24 papers in Geophysics and 19 papers in Mechanics of Materials. Recurrent topics in Michael E. Glinsky's work include Seismic Imaging and Inversion Techniques (20 papers), Reservoir Engineering and Simulation Methods (19 papers) and Laser-induced spectroscopy and plasma (14 papers). Michael E. Glinsky is often cited by papers focused on Seismic Imaging and Inversion Techniques (20 papers), Reservoir Engineering and Simulation Methods (19 papers) and Laser-induced spectroscopy and plasma (14 papers). Michael E. Glinsky collaborates with scholars based in United States, Australia and Russia. Michael E. Glinsky's co-authors include M. D. Perry, E. M. Campbell, R. J. Mason, J. H. Hammer, W. L. Kruer, M. Tabak, J. G. Woodworth, S. C. Wilks, James Gunning and T. M. O’Neil and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Applied Physics and Optics Express.

In The Last Decade

Michael E. Glinsky

67 papers receiving 3.7k 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.

Ignition and high gain with ultrapowerful lasers*

1994 2.3k citations Michael E. Glinsky et al. profile →
A study of picosecond laser–solid interactions up to 1019 W cm−2

1997 497 citations Michael E. Glinsky et al. profile →

Peers

Countries citing papers authored by Michael E. Glinsky

Since Specialization

Citations

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

Fields of papers citing papers by Michael E. Glinsky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael E. Glinsky. 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 Michael E. Glinsky. The network helps show where Michael E. Glinsky may publish in the future.

Co-authorship network of co-authors of Michael E. Glinsky

This figure shows the co-authorship network connecting the top 25 collaborators of Michael E. Glinsky. A scholar is included among the top collaborators of Michael E. Glinsky 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 Michael E. Glinsky. Michael E. Glinsky 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

#	Work	Indexed citations
1	Noise-resilient deep learning for integrated circuit tomography 2023 ·Optics Express ·(unknown), Zhiguang Liu, George Barbastathis, Qihang Zhang, Michael E. Glinsky, Bradley K. Alpert, Zachary H. Levine	2
2	Optimizing the configuration of plasma radiation detectors in the presence of uncertain instrument response and inadequate physics 2023 ·Journal of Plasma Physics ·Patrick Knapp, William Lewis, V. Roshan Joseph, Christopher Jennings, Michael E. Glinsky	4
3	Mallat Scattering Transformation based surrogate for Magnetohydrodynamics 2023 ·Computational Mechanics ·Michael E. Glinsky, Kathryn Maupin	1
4	Advantage of Machine Learning over Maximum Likelihood in Limited-Angle Low-Photon X-Ray Tomography 2022 ·Electronic Imaging ·(unknown), (unknown), George Barbastathis, Michael E. Glinsky, (unknown), (unknown), Bradley K. Alpert, Zachary H. Levine	1
5	Geomechanical property estimation of unconventional reservoirs using seismic data and rock physics 2015 ·Geophysical Prospecting ·Michael E. Glinsky, A. Cortis, Jinsong Chen, (unknown), (unknown)	2
6	Stochastic inversion of seismic PP and PS data for reservoir parameter estimation 2014 ·Geophysics ·Jinsong Chen, Michael E. Glinsky	7
7	Marine CSEM of the Scarborough gas field, Part 1: Experimental design and data uncertainty 2012 ·Geophysics ·David Myer, Steven Constable, Kerry Key, Michael E. Glinsky, Guimin Liu	56
8	Resolution and uncertainty in 1D CSEM inversion: A Bayesian approach and open-source implementation 2010 ·Geophysics ·James Gunning, Michael E. Glinsky, J. N. Hedditch	35
9	Bayesian inversion whispers 2008 ·The Leading Edge ·Michael E. Glinsky, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), James Gunning	2
10	Detection of reservoir quality using Bayesian seismic inversion 2007 ·Geophysics ·James Gunning, Michael E. Glinsky	73
11	The value of using relative amplitude changes 2007 ·The Leading Edge ·Michael E. Glinsky, (unknown), (unknown), (unknown), James Gunning	0
12	Delivery Massager: A tool for propagating seismic inversion information into reservoir models 2007 ·Computers & Geosciences ·James Gunning, Michael E. Glinsky, Chris D. White	7
13	Integration of uncertain subsurface information into multiple reservoir simulation models 2005 ·The Leading Edge ·Michael E. Glinsky, (unknown), (unknown), (unknown), M. A. Stanley, James Gunning, (unknown), Jérôme Kalifa, Stéphane Mallat, Chris D. White, Didier Renard	10
14	Wavelet extractor: A Bayesian well-tie and wavelet extraction program 2005 ·Computers & Geosciences ·James Gunning, Michael E. Glinsky	22
15	High-resolution numerical simulations of resuspending gravity currents: conditions for self-sustainment 2004 ·APS Division of Fluid Dynamics Meeting Abstracts ·François Blanchette, (unknown), Eckart Meiburg, Ben Kneller, Michael E. Glinsky	4
16	Automatic event picking in prestack migrated gathers using a probabilistic neural network 2001 ·Geophysics ·Michael E. Glinsky, G.A. Clark, (unknown), (unknown), James Robinson, Gary E. Ford	12
17	Two-dimensional Rayleigh model of vapor bubble evolution 1999 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·(unknown), Menahem Friedman, E. Gurewitz, Peter Amendt, Richard A. London, Michael E. Glinsky	1
18	Dynamic simulations of tissue welding 1996 ·OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) ·Duncan J. Maitland, D. C. Eder, Richard A. London, Michael E. Glinsky	15
19	Coupled light transport-heat diffusion model for laser dosimetry with dynamic optical properties 1995 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Richard A. London, Michael E. Glinsky, G. B. Zimmerman, D. C. Eder, Steven L. Jacques	5
20	Modeling of endovascular patch welding using the computer program LATIS 1995 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Michael E. Glinsky, Richard A. London, G. B. Zimmerman, Steven L. Jacques	4

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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