Matthew Andrew

762 total citations
35 papers, 566 citations indexed

About

Matthew Andrew is a scholar working on Mechanics of Materials, Mechanical Engineering and Ocean Engineering. According to data from OpenAlex, Matthew Andrew has authored 35 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Mechanics of Materials, 13 papers in Mechanical Engineering and 12 papers in Ocean Engineering. Recurrent topics in Matthew Andrew's work include Hydrocarbon exploration and reservoir analysis (15 papers), Enhanced Oil Recovery Techniques (12 papers) and Hydraulic Fracturing and Reservoir Analysis (9 papers). Matthew Andrew is often cited by papers focused on Hydrocarbon exploration and reservoir analysis (15 papers), Enhanced Oil Recovery Techniques (12 papers) and Hydraulic Fracturing and Reservoir Analysis (9 papers). Matthew Andrew collaborates with scholars based in United States, United Kingdom and Germany. Matthew Andrew's co-authors include Jan Goral, Milind Deo, Hannah Menke, Martin J. Blunt, Samuel Krevor, Catriona Reynolds, I. C. Walton, Palash Panja, Jens-Oliver Schwarz and Andreas Wiegmann and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Matthew Andrew

32 papers receiving 558 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Andrew United States 10 361 324 232 106 63 35 566
Shaina Kelly United States 12 381 1.1× 343 1.1× 240 1.0× 96 0.9× 61 1.0× 33 566
Fabrice Bauget France 10 411 1.1× 366 1.1× 222 1.0× 125 1.2× 59 0.9× 24 688
Baochao Shan China 13 256 0.7× 261 0.8× 228 1.0× 54 0.5× 91 1.4× 27 475
Ali S. Ziarani Canada 7 321 0.9× 338 1.0× 261 1.1× 50 0.5× 60 1.0× 15 533
Jill Middleton Australia 12 263 0.7× 252 0.8× 190 0.8× 87 0.8× 25 0.4× 23 447
Ayaz Mehmani United States 14 667 1.8× 587 1.8× 407 1.8× 162 1.5× 105 1.7× 29 850
Zhishang Liu Australia 5 330 0.9× 236 0.7× 117 0.5× 106 1.0× 57 0.9× 8 416
Alex Schwing Netherlands 7 696 1.9× 396 1.2× 301 1.3× 300 2.8× 173 2.7× 16 966
David A. Coker United States 5 352 1.0× 316 1.0× 171 0.7× 142 1.3× 79 1.3× 8 685
Jesse Dietderich United States 8 288 0.8× 203 0.6× 144 0.6× 88 0.8× 107 1.7× 13 444

Countries citing papers authored by Matthew Andrew

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Andrew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Andrew

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Andrew. A scholar is included among the top collaborators of Matthew Andrew 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 Matthew Andrew. Matthew Andrew is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Andrew, Matthew, et al.. (2025). Assessment of deep-learning-based resolution recovery algorithm relative to imaging system resolution and feature size. SHILAP Revista de lepidopterología. 2(2). 183–201. 2 indexed citations
2.
3.
Andrew, Matthew, et al.. (2024). Evaluating Deep-Learning Resolution Recovery Algorithm Performance as a Function of Feature Size and Point Spread Function. Microscopy and Microanalysis. 30(Supplement_1). 1 indexed citations
4.
Taylor, Richard, Eddy Hill, & Matthew Andrew. (2024). A Step Forward in Quantitative Automated Mineralogy in 2D and 3D. Geostandards and Geoanalytical Research. 48(3). 579–593.
5.
Andreyev, Andriy, et al.. (2023). Performance of Deep Learning-based Image Denoising in Image Reconstruction for Various Acquisition Conditions: a Simulated Phantom Study. Microscopy and Microanalysis. 29(Supplement_1). 1408–1410. 1 indexed citations
6.
Tekawade, Aniket, et al.. (2022). Deep Learning for improving the efficiency of dimensional measurement workflows with high-resolution X-ray computed tomography. e-Journal of Nondestructive Testing. 27(3). 2 indexed citations
7.
Andrew, Matthew, et al.. (2022). Fully automated deep learning-based resolution recovery. 20–20. 4 indexed citations
8.
9.
Andrew, Matthew, Andriy Andreyev, Lars Omlor, et al.. (2022). Fully automated deep-learning-based resolution recovery. 117–117. 2 indexed citations
10.
Goral, Jan, Palash Panja, Milind Deo, et al.. (2020). Confinement Effect on Porosity and Permeability of Shales. Scientific Reports. 10(1). 49–49. 71 indexed citations
11.
Andrew, Matthew. (2020). Permeability Prediction using multivariant structural regression. SHILAP Revista de lepidopterología. 146. 4001–4001. 4 indexed citations
12.
Pankhurst, Matthew, et al.. (2019). Non-destructive three-dimensional crystallographic orientation analysis of olivine using laboratory diffraction contrast tomography. Mineralogical Magazine. 83(5). 705–711. 8 indexed citations
13.
Goral, Jan, Milind Deo, & Matthew Andrew. (2019). Correlative Multiscale Imaging of Mancos Shale. International Petroleum Technology Conference. 7 indexed citations
14.
Ball, Matthew, Joshua F. Einsle, Matthew Andrew, et al.. (2019). Projecting into the Third Dimension: 3D Ore Mineralogy via Machine Learning of Automated Mineralogy and X-Ray Microscopy. Microscopy and Microanalysis. 25(S2). 410–411. 1 indexed citations
15.
Goral, Jan, et al.. (2019). Correlative core- to pore-scale imaging of shales. Marine and Petroleum Geology. 111. 886–904. 48 indexed citations
16.
Andrew, Matthew, et al.. (2018). Iterative Reconstruction for Increased Imaging Throughput in Lab-based 3D XRM. Microscopy and Microanalysis. 24(S2). 118–119. 6 indexed citations
17.
Andrew, Matthew, et al.. (2016). Non-Invasive Multi-Scale Imaging and Modelling Using X-Ray Microscopy. Microscopy and Microanalysis. 22(S3). 108–109. 2 indexed citations
18.
Andrew, Matthew, Branko Bijeljic, & Martin J. Blunt. (2015). Reservoir Condition Pore-scale Imaging of Multiple Fluid Phases Using X-ray Microtomography. Journal of Visualized Experiments. 9 indexed citations
19.
Goral, Jan, et al.. (2015). Correlative XRM and FIB-SEM for (Non)Organic Pore Network Modeling in Woodford Shale Rock Matrix. International Petroleum Technology Conference. 16 indexed citations
20.
Andrew, Matthew. (2014). 128 channel waveform sampling digitizer/readout in the TOP counter for the Belle II upgrade. 171. 1 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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