Andrew Reid

4.0k total citations · 3 hit papers
39 papers, 3.3k citations indexed

About

Andrew Reid is a scholar working on Materials Chemistry, Civil and Structural Engineering and Mechanics of Materials. According to data from OpenAlex, Andrew Reid has authored 39 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Materials Chemistry, 12 papers in Civil and Structural Engineering and 11 papers in Mechanics of Materials. Recurrent topics in Andrew Reid's work include Concrete and Cement Materials Research (12 papers), Microstructure and mechanical properties (11 papers) and Machine Learning in Materials Science (5 papers). Andrew Reid is often cited by papers focused on Concrete and Cement Materials Research (12 papers), Microstructure and mechanical properties (11 papers) and Machine Learning in Materials Science (5 papers). Andrew Reid collaborates with scholars based in United States, Australia and United Kingdom. Andrew Reid's co-authors include Zuhua Zhang, John L. Provis, Hao Wang, F Bullen, Yingcan Zhu, Stephen A. Langer, Xue Ma, R. J. Gooding, Rhonald C. Lua and R. Edwin Garcı́a and has published in prestigious journals such as Physical review. B, Condensed matter, Acta Materialia and Scientific Reports.

In The Last Decade

Andrew Reid

38 papers receiving 3.2k citations

Hit Papers

Geopolymer foam concrete: An emerging material for sustai... 2014 2026 2018 2022 2014 2015 2014 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Reid United States 18 2.5k 1.6k 1.3k 337 250 39 3.3k
Jeffrey W. Bullard United States 10 2.7k 1.1× 1.0k 0.6× 707 0.5× 121 0.4× 232 0.9× 13 3.0k
Paul E. Stutzman United States 28 1.7k 0.7× 700 0.4× 699 0.5× 551 1.6× 185 0.7× 76 2.7k
David A. Lange United States 32 3.7k 1.5× 474 0.3× 1.6k 1.2× 376 1.1× 560 2.2× 146 4.5k
Huisu Chen China 38 2.9k 1.1× 968 0.6× 1.0k 0.8× 452 1.3× 885 3.5× 163 4.3k
Pietro Lura Switzerland 62 8.7k 3.5× 800 0.5× 1.2k 0.9× 217 0.6× 504 2.0× 173 9.4k
Masaki Daimon Japan 24 1.5k 0.6× 1.1k 0.7× 626 0.5× 191 0.6× 156 0.6× 93 2.6k
Dongxu Li China 33 2.3k 0.9× 654 0.4× 1.2k 1.0× 447 1.3× 409 1.6× 133 2.8k
Tong‐Seok Han South Korea 27 1.3k 0.5× 508 0.3× 557 0.4× 420 1.2× 564 2.3× 96 2.1k
Shengxing Wu China 21 1.8k 0.7× 557 0.4× 565 0.4× 111 0.3× 470 1.9× 53 2.1k

Countries citing papers authored by Andrew Reid

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Reid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Reid

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Reid. A scholar is included among the top collaborators of Andrew Reid 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 Andrew Reid. Andrew Reid 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.
Keshavarz, Shahriyar, Youjia Li, Andrew Reid, et al.. (2024). A deep learning-based crystal plasticity finite element model. Scripta Materialia. 254. 116315–116315. 5 indexed citations
2.
Keshavarz, Shahriyar, et al.. (2024). Advancing material simulations: Physics-Informed Neural Networks and Object-Oriented Crystal Plasticity Finite Element Methods. International Journal of Plasticity. 185. 104221–104221. 5 indexed citations
4.
Keshavarz, Shahriyar, Vishu Gupta, Andrew Reid, et al.. (2023). AI for Learning Deformation Behavior of a Material: Predicting Stress-Strain Curves 4000x Faster Than Simulations. 1–8. 3 indexed citations
5.
Papanikolaou, Stefanos, et al.. (2019). Spatial strain correlations, machine learning, and deformation history in crystal plasticity. Physical review. E. 99(5). 53003–53003. 15 indexed citations
6.
Yang, Zijiang, Reda Al-Bahrani, Andrew Reid, et al.. (2019). Deep learning based domain knowledge integration for small datasets: Illustrative applications in materials informatics. 1–8. 11 indexed citations
7.
Choudhary, Kamal, Qin Zhang, Andrew Reid, et al.. (2018). Computational screening of high-performance optoelectronic materials using OptB88vdW and TB-mBJ formalisms. Scientific Data. 5(1). 180082–180082. 94 indexed citations
8.
Keshavarz, Shahriyar, Somnath Ghosh, Andrew Reid, & Stephen A. Langer. (2016). A non-Schmid crystal plasticity finite element approach to multi-scale modeling of nickel-based superalloys. Acta Materialia. 114. 106–115. 62 indexed citations
9.
Zhang, Zuhua, John L. Provis, Andrew Reid, & Hao Wang. (2015). Mechanical, thermal insulation, thermal resistance and acoustic absorption properties of geopolymer foam concrete. Cement and Concrete Composites. 62. 97–105. 481 indexed citations breakdown →
10.
Wheeler, Daniel, et al.. (2014). PyMKS: Materials Knowledge System in Python. Figshare. 13 indexed citations
11.
Li, Qiang, Hao Wang, Zuhua Zhang, & Andrew Reid. (2013). Numerical simulation of porosity on thermal properties and fire resistance of foamed concrete. Journal of Sustainable Cement-Based Materials. 2(1). 13–19. 14 indexed citations
12.
Li, Qiang, Hao Wang, F Bullen, & Andrew Reid. (2012). Numerical simulation of porous structure in foam concrete on thermal insulation property. 6(3). 221–310. 1 indexed citations
13.
Zhang, Zuhua, Hao Wang, John L. Provis, et al.. (2012). Quantitative kinetic and structural analysis of geopolymers. Part 1. The activation of metakaolin with sodium hydroxide. Thermochimica Acta. 539. 23–33. 383 indexed citations
14.
Reid, Andrew, et al.. (2009). Modeling Microstructures with OOF2 | NIST. International Journal of Materials and Product Technology. 35. 5 indexed citations
15.
Reid, Andrew, Gregory B. Olson, & Brian J. Moran. (1999). Dislocations in nonlinear nonlocal media: Martensitic embryo formation. Phase Transitions. 69(3). 309–328. 26 indexed citations
16.
Reid, Andrew & R. J. Gooding. (1997). Pattern formation in a 2D elastic solid. Physica A Statistical Mechanics and its Applications. 239(1-3). 1–10. 8 indexed citations
17.
Felten, John J., et al.. (1997). Solid-solution structure and the weakly first-order displacive transformation in Fe-Pd alloys. Metallurgical and Materials Transactions A. 28(3). 527–536. 8 indexed citations
18.
Reid, Andrew & R. J. Gooding. (1993). Elastic hydrodynamics and dynamical nucleation in first-order strain transitions. Physica D Nonlinear Phenomena. 66(1-2). 180–186. 8 indexed citations
19.
Reid, Andrew & R. J. Gooding. (1992). Inclusion problem in a two-dimensional nonlocal elastic solid. Physical review. B, Condensed matter. 46(10). 6045–6049. 28 indexed citations
20.
Greetham, Gregory M. & Andrew Reid. (1969). THE DEVELOPMENT OF VACUUM-SINTERED STEELS. Powder Metallurgy. 12(23). 79–106. 2 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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