Oliver K. Johnson

543 total citations
38 papers, 389 citations indexed

About

Oliver K. Johnson is a scholar working on Materials Chemistry, Mechanics of Materials and Mechanical Engineering. According to data from OpenAlex, Oliver K. Johnson has authored 38 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Materials Chemistry, 10 papers in Mechanics of Materials and 9 papers in Mechanical Engineering. Recurrent topics in Oliver K. Johnson's work include Microstructure and mechanical properties (21 papers), Machine Learning in Materials Science (7 papers) and Composite Material Mechanics (6 papers). Oliver K. Johnson is often cited by papers focused on Microstructure and mechanical properties (21 papers), Machine Learning in Materials Science (7 papers) and Composite Material Mechanics (6 papers). Oliver K. Johnson collaborates with scholars based in United States, Japan and Türkiye. Oliver K. Johnson's co-authors include Eric R. Homer, Christopher A. Schuh, David T. Fullwood, Gregory B. Thompson, Akarsh Verma, Frank H. Allen, Sterling G. Baird, Shigenobu Ogata, Conrad W. Rosenbrock and G. C. Kaschner and has published in prestigious journals such as SHILAP Revista de lepidopterología, Acta Materialia and Journal of Materials Science.

In The Last Decade

Oliver K. Johnson

35 papers receiving 388 citations

Peers

Oliver K. Johnson

Nima H. Siboni Germany

Peter Binkele Germany

Masato Hiratani United States

C.P. Ling Australia

Tim Pierce United States

Ivan Saxl Czechia

T. Takahashi Japan

Armen Khachaturyan United States

Hanwen Ren China

Nima H. Siboni Germany

Oliver K. Johnson

159 ×0.6

112 ×0.7

82 ×1.0

34 ×0.5

44 ×0.8

Citations per year, relative to Oliver K. Johnson Oliver K. Johnson (= 1×) peers Nima H. Siboni

Countries citing papers authored by Oliver K. Johnson

Since Specialization

Citations

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

Fields of papers citing papers by Oliver K. Johnson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Oliver K. Johnson. 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 Oliver K. Johnson. The network helps show where Oliver K. Johnson may publish in the future.

Co-authorship network of co-authors of Oliver K. Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Oliver K. Johnson. A scholar is included among the top collaborators of Oliver K. Johnson 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 Oliver K. Johnson. Oliver K. Johnson 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

Johnson, Oliver K., et al.. (2024). Characterizing grain boundary network length features through a harmonic representation. Materialia. 35. 102121–102121. 2 indexed citations

Johnson, Oliver K., et al.. (2024). Evolution of crystallographic texture and grain boundary network structure during anisotropic grain growth. Computational Materials Science. 240. 113023–113023. 4 indexed citations

Johnson, Oliver K., et al.. (2024). Data-driven 2D grain growth microstructure prediction using deep learning and spectral graph theory. Computational Materials Science. 247. 113504–113504.

Verma, Akarsh, et al.. (2023). Insights into factors that affect non-Arrhenius migration of a simulated incoherent Σ3 grain boundary. Acta Materialia. 258. 119210–119210. 23 indexed citations

Verma, Akarsh, Oliver K. Johnson, Gregory B. Thompson, Shigenobu Ogata, & Eric R. Homer. (2023). Solute influence in transitions from non-Arrhenius to stick-slip Arrhenius grain boundary migration. Acta Materialia. 265. 119605–119605. 19 indexed citations

Mattson, Christopher A., et al.. (2022). Use of simulation and wear prediction to explore design improvements to the cup seal in the India Mark II/III hand pump system. SHILAP Revista de lepidopterología. 7. 100092–100092. 1 indexed citations

Johnson, Oliver K., et al.. (2022). Influence of grain boundary energy anisotropy on the evolution of grain boundary network structure during 3D anisotropic grain growth. Computational Materials Science. 217. 111879–111879. 18 indexed citations

Baird, Sterling G., Eric R. Homer, David T. Fullwood, & Oliver K. Johnson. (2022). Computationally efficient barycentric interpolation of large grain boundary octonion point sets. MethodsX. 9. 101731–101731. 1 indexed citations

Homer, Eric R., et al.. (2022). A classical equation that accounts for observations of non-Arrhenius and cryogenic grain boundary migration. npj Computational Materials. 8(1). 30 indexed citations

10.

Beatty, Emily R., et al.. (2022). Microstructure design using a human computation game. Materialia. 25. 101544–101544. 1 indexed citations

11.

Baird, Sterling G., Eric R. Homer, David T. Fullwood, & Oliver K. Johnson. (2021). Five degree-of-freedom property interpolation of arbitrary grain boundaries via Voronoi fundamental zone framework. Computational Materials Science. 200. 110756–110756. 16 indexed citations

12.

Johnson, Oliver K., et al.. (2019). Representative and statistical volume elements for grain boundary networks: A stereological approach. Acta Materialia. 188. 166–180. 7 indexed citations

13.

Baird, Sterling G., et al.. (2019). Grain boundary structure–property model inference using polycrystals: the overdetermined case. Journal of Materials Science. 55(4). 1562–1576. 5 indexed citations

14.

Johnson, Oliver K., et al.. (2018). An efficient algorithm for generating diverse microstructure sets and delineating properties closures. Acta Materialia. 147. 313–321. 9 indexed citations

15.

Johnson, Oliver K., Lin Li, Michael J. Demkowicz, & Christopher A. Schuh. (2015). Inferring grain boundary structure–property relations from effective property measurements. Journal of Materials Science. 50(21). 6907–6919. 14 indexed citations

16.

Johnson, Oliver K. & Christopher A. Schuh. (2014). The triple junction hull: Tools for grain boundary network design. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations

17.

Johnson, Oliver K., Calvin J. Gardner, Nathan A. Mara, et al.. (2011). Multiscale Model for the Extreme Piezoresistivity in Silicone/Nickel Nanostrand Nanocomposites. Metallurgical and Materials Transactions A. 42(13). 3898–3906. 10 indexed citations

18.

Mason, Thomas A., Andrew M. Dattelbaum, Nathan A. Mara, et al.. (2011). A new technique to measure tunneling barrier height in solid media. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 3 indexed citations

19.

Johnson, Oliver K., et al.. (2011). Optimization of nickel nanocomposite for large strain sensing applications. Sensors and Actuators A Physical. 166(1). 40–47. 20 indexed citations

20.

Johnson, Oliver K., et al.. (2010). The Colossal Piezoresistive Effect in Nickel Nanostrand Polymer Composites and a Quantum Tunneling Model. Cmc-computers Materials & Continua. 15(2). 87–112. 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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