Gregory J. Wagner

7.5k total citations · 2 hit papers
134 papers, 5.6k citations indexed

About

Gregory J. Wagner is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering and Materials Chemistry. According to data from OpenAlex, Gregory J. Wagner has authored 134 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Electrical and Electronic Engineering, 38 papers in Mechanical Engineering and 36 papers in Materials Chemistry. Recurrent topics in Gregory J. Wagner's work include Additive Manufacturing Materials and Processes (31 papers), Additive Manufacturing and 3D Printing Technologies (26 papers) and Solid State Laser Technologies (24 papers). Gregory J. Wagner is often cited by papers focused on Additive Manufacturing Materials and Processes (31 papers), Additive Manufacturing and 3D Printing Technologies (26 papers) and Solid State Laser Technologies (24 papers). Gregory J. Wagner collaborates with scholars based in United States, China and Germany. Gregory J. Wagner's co-authors include Wing Kam Liu, Stephen Lin, Wentao Yan, Yanping Lian, Jian Cao, Zhengtao Gan, M.F. Horstemeyer, Sinan Keten, Jacob Fish and Eduard G. Karpov and has published in prestigious journals such as Journal of the American Chemical Society, Circulation and Nature Communications.

In The Last Decade

Gregory J. Wagner

125 papers receiving 5.4k citations

Hit Papers

Coupling of atomistic and continuum simulations using a b... 2003 2026 2010 2018 2003 2021 100 200 300 400
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.

  1. Coupling of atomistic and continuum simulations using a bridging scale decomposition
    2003 478 citations Gregory J. Wagner, Wing Kam Liu profile →
  2. Mesoscopic and multiscale modelling in materials
    2021 244 citations Jacob Fish, Gregory J. Wagner et al. Nature Materials profile →

Peers

Gregory J. Wagner
John G. Michopoulos United States
Hai-Lung Tsai United States
Robert L. Jackson United States
Iskander Akhatov Russia
L. Salvò France
Jayathi Y. Murthy United States
Wayne E. King United States
George Ś. Springer United States
Guangjun Gao China
Thomas W. Eagar United States
John G. Michopoulos United States
Gregory J. Wagner
Citations per year, relative to Gregory J. Wagner Gregory J. Wagner (= 1×) peers John G. Michopoulos

Countries citing papers authored by Gregory J. Wagner

Since Specialization
Citations

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

Fields of papers citing papers by Gregory J. Wagner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory J. Wagner. 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 Gregory J. Wagner. The network helps show where Gregory J. Wagner may publish in the future.

Co-authorship network of co-authors of Gregory J. Wagner

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory J. Wagner. A scholar is included among the top collaborators of Gregory J. Wagner 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 Gregory J. Wagner. Gregory J. Wagner 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.
Titus, Michael S., et al.. (2025). A high-throughput physics- and data-driven framework for High-Entropy Alloy development. Acta Materialia. 292. 121045–121045. 2 indexed citations
2.
3.
Park, Chanwook, Sourav Saha, Jiachen Guo, et al.. (2025). Unifying machine learning and interpolation theory via interpolating neural networks. Nature Communications. 16(1). 8753–8753.
4.
Mojumder, Satyajit, Ye Lu, Abdullah Al Amin, et al.. (2024). Statistical parameterized physics-based machine learning digital shadow models for laser powder bed fusion process. Additive manufacturing. 87. 104214–104214. 10 indexed citations
5.
Samaei, Arash, Zhengtao Gan, Xiaoyu Xie, et al.. (2024). Benchmark study of melt pool and keyhole dynamics, laser absorptance, and porosity in additive manufacturing of Ti-6Al-4V. Progress in Additive Manufacturing. 10(1). 491–515. 9 indexed citations
6.
7.
Chadwick, Alexander F., Juan Guillermo Santos Macías, Arash Samaei, et al.. (2024). On microstructure development during laser melting and resolidification: An experimentally validated simulation study. Acta Materialia. 282. 120482–120482. 6 indexed citations
8.
Samaei, Arash, et al.. (2024). Phase change and solute mixing in multicomponent metal additive manufacturing: A new numerical approach. Computer Methods in Applied Mechanics and Engineering. 420. 116754–116754. 2 indexed citations
9.
Wagner, Gregory J., et al.. (2024). GO-MELT: GPU-optimized multilevel execution of LPBF thermal simulations. Computer Methods in Applied Mechanics and Engineering. 426. 116977–116977. 15 indexed citations
10.
Lu, Ye, Hengyang Li, Lei Zhang, et al.. (2023). Convolution Hierarchical Deep-learning Neural Networks (C-HiDeNN): finite elements, isogeometric analysis, tensor decomposition, and beyond. Computational Mechanics. 72(2). 333–362. 25 indexed citations
11.
Lee, Jeesoo, Sumeet S. Mitter, Lowie Van Assche, et al.. (2022). Impact of assuming a circular orifice on flow error through elliptical regurgitant orifices: computational fluid dynamics and in vitro analysis of proximal flow convergence. The International Journal of Cardiovascular Imaging. 39(2). 307–318. 3 indexed citations
12.
Fish, Jacob, Gregory J. Wagner, & Sinan Keten. (2021). Mesoscopic and multiscale modelling in materials. Nature Materials. 20(6). 774–786. 244 indexed citations breakdown →
13.
Yan, Wentao, Yan Lu, Zhuo Yang, et al.. (2020). Data-driven characterization of thermal models for powder-bed-fusion additive manufacturing. Additive manufacturing. 36. 101503–101503. 26 indexed citations
14.
Roche, Kevin, Angang Li, Diogo Bolster, Gregory J. Wagner, & Aaron I. Packman. (2019). Effects of Turbulent Hyporheic Mixing on Reach‐Scale Transport. Water Resources Research. 55(5). 3780–3795. 28 indexed citations
15.
Wagner, Gregory J., et al.. (2012). Multi-Watt Broadly-Tunable Diode-Pumped Cr:ZnSe Laser. 5 indexed citations
16.
Jelinek, Bohumir, Jeff Houze, Sébastien Groh, et al.. (2010). MEAM potential for Al, Si, Mg, Cu, and Fe alloys. Bulletin of the American Physical Society. 77. 1 indexed citations
17.
Jones, Reese E., Jeremy Alan Templeton, Gregory J. Wagner, David L. Olmsted, & Normand A. Modine. (2010). Electron transport enhanced molecular dynamics for metals and semi‐metals. International Journal for Numerical Methods in Engineering. 83(8-9). 940–967. 23 indexed citations
18.
Wagner, Gregory J., et al.. (2005). High-Power, Rapidly-Tunable ZnGeP2 Intracavity Optical Parametric Oscillator. Conference on Lasers and Electro-Optics. 1 indexed citations
19.
Wagner, Gregory J., Timothy J. Carrig, Ralph H. Page, et al.. (1999). Continuous-wave broadly tunable Cr^2+:ZnSe laser. Optics Letters. 24(1). 19–19. 144 indexed citations
20.
Gottschalch, V., et al.. (1986). Thermal Resistivity of GaInAsP Alloy. Experimental Results. Crystal Research and Technology. 21(5). 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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