George Opletal

1.5k total citations
53 papers, 1.2k citations indexed

About

George Opletal is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, George Opletal has authored 53 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Materials Chemistry, 9 papers in Electrical and Electronic Engineering and 9 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in George Opletal's work include Machine Learning in Materials Science (16 papers), X-ray Diffraction in Crystallography (9 papers) and Diamond and Carbon-based Materials Research (7 papers). George Opletal is often cited by papers focused on Machine Learning in Materials Science (16 papers), X-ray Diffraction in Crystallography (9 papers) and Diamond and Carbon-based Materials Research (7 papers). George Opletal collaborates with scholars based in Australia, United States and Germany. George Opletal's co-authors include Ian K. Snook, Amanda S. Barnard, Timothy C. Petersen, Salvy P. Russo, Dougal G. McCulloch, Irene Yarovsky, Tanja Schilling, Hans Joachim Schöpe, Martin Oettel and Amanda Parker and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

In The Last Decade

George Opletal

53 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
George Opletal Australia 19 810 276 250 141 119 53 1.2k
Bharat Medasani United States 16 913 1.1× 339 1.2× 154 0.6× 128 0.9× 158 1.3× 28 1.4k
Shuichi Iwata Japan 20 727 0.9× 318 1.2× 232 0.9× 216 1.5× 183 1.5× 163 1.5k
Lance J. Nelson United States 7 1.0k 1.3× 254 0.9× 121 0.5× 108 0.8× 187 1.6× 8 1.3k
Nils Zimmermann United States 16 1.3k 1.6× 333 1.2× 204 0.8× 68 0.5× 176 1.5× 24 1.8k
Richard Tran United States 12 1.1k 1.4× 415 1.5× 138 0.6× 127 0.9× 314 2.6× 22 1.6k
Troy D. Loeffler United States 15 611 0.8× 174 0.6× 159 0.6× 74 0.5× 104 0.9× 37 1.0k
Andreas Pedersen Iceland 15 588 0.7× 279 1.0× 121 0.5× 128 0.9× 67 0.6× 26 1.0k
Kenta Hongo Japan 22 1.2k 1.5× 570 2.1× 148 0.6× 187 1.3× 128 1.1× 111 2.0k
Stefan Müller Germany 20 858 1.1× 210 0.8× 202 0.8× 380 2.7× 140 1.2× 37 1.4k
Timothy O. Drews United States 19 671 0.8× 324 1.2× 104 0.4× 77 0.5× 110 0.9× 28 1.1k

Countries citing papers authored by George Opletal

Since Specialization
Citations

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

Fields of papers citing papers by George Opletal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Opletal

This figure shows the co-authorship network connecting the top 25 collaborators of George Opletal. A scholar is included among the top collaborators of George Opletal 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 George Opletal. George Opletal 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.
Opletal, George, et al.. (2024). Fractal Characterization of Simulated Metal Nanocatalysts in 3D. SHILAP Revista de lepidopterología. 4(10). 2400123–2400123. 2 indexed citations
2.
Opletal, George, et al.. (2024). Unsupervised pattern recognition on the surface of simulated metal nanoparticles for catalytic applications. Catalysis Science & Technology. 14(22). 6651–6661. 3 indexed citations
3.
Opletal, George, et al.. (2023). Mechanical properties and pore network connectivity of sodium montmorillonite as predicted by a coarse-grained molecular model. Applied Clay Science. 243. 107077–107077. 6 indexed citations
4.
Ruan, Juanfang, Chun‐Jen Su, U‐Ser Jeng, et al.. (2023). Complex Dispersion of Detonation Nanodiamond Revealed by Machine Learning Assisted Cryo-TEM and Coarse-Grained Molecular Dynamics Simulations. PubMed Central. 3(3). 211–221. 7 indexed citations
5.
Petersen, Timothy C., et al.. (2021). Extracting nanoscale structures from experimental and synthetic data with reverse Monte Carlo. Nano Futures. 5(2). 22502–22502. 1 indexed citations
6.
Chang, Shery L. Y., Philipp Reineck, Dewight Williams, et al.. (2020). Dynamic self-assembly of detonation nanodiamond in water. Nanoscale. 12(9). 5363–5367. 33 indexed citations
7.
Parker, Amanda, Benyamin Motevalli, George Opletal, & Amanda S. Barnard. (2020). The pure and representative types of disordered platinum nanoparticles from machine learning. Nanotechnology. 32(9). 95404–95404. 11 indexed citations
8.
Barnard, Amanda S. & George Opletal. (2020). Selecting machine learning models for metallic nanoparticles. Nano Futures. 4(3). 35003–35003. 31 indexed citations
9.
Opletal, George, Shery L. Y. Chang, & Amanda S. Barnard. (2020). Simulating facet-dependent aggregation and assembly of distributions of polyhedral nanoparticles. Nanoscale. 12(38). 19870–19879. 8 indexed citations
10.
Barnard, Amanda S. & George Opletal. (2019). Gold Nanoparticle Data Set. CSIRO. 2 indexed citations
11.
Barnard, Amanda S., Baichuan Sun, & George Opletal. (2018). Platinum Nanoparticle Data Set. CSIRO. 2 indexed citations
12.
Barrón, Héctor, George Opletal, Richard D. Tilley, & Amanda S. Barnard. (2016). Predicting the role of seed morphology in the evolution of anisotropic nanocatalysts. Nanoscale. 9(4). 1502–1510. 13 indexed citations
13.
Petersen, Timothy C., George Opletal, Amelia C. Y. Liu, & Salvy P. Russo. (2015). Hybrid Reverse Monte Carlo and electron phase contrast image simulations of amorphous silicon with and without paracrystals. Molecular Simulation. 42(6-7). 522–530. 3 indexed citations
14.
Opletal, George, et al.. (2013). Bonding trends within ternary isocoordinate chalcogenide glasses GexAsySe1−x−y. Physical Chemistry Chemical Physics. 15(13). 4582–4582. 9 indexed citations
15.
Budi, Akin, Andrew Basile, George Opletal, et al.. (2012). Study of the initial stage of solid electrolyte interphase formation upon chemical reaction of lithium metal and N-Methyl-N-Propyl-Pyrrolidinium-Bis (Fluorosulfonyl) Imide. RMIT Research Repository (RMIT University Library). 1 indexed citations
16.
Schilling, Tanja, Hans Joachim Schöpe, Martin Oettel, George Opletal, & Ian K. Snook. (2010). Precursor-Mediated Crystallization Process in Suspensions of Hard Spheres. Physical Review Letters. 105(2). 25701–25701. 158 indexed citations
17.
Opletal, George, Timothy C. Petersen, Brendan O’Malley, et al.. (2010). HRMC_1.1: Hybrid Reverse Monte Carlo method with silicon and carbon potentials. Computer Physics Communications. 182(2). 542–542. 4 indexed citations
18.
Opletal, George, et al.. (2009). Modeling the crystallization of gold nanoclusters—the effect of the potential energy function. Journal of Physics Condensed Matter. 21(14). 144207–144207. 6 indexed citations
19.
Opletal, George, Timothy C. Petersen, Dougal G. McCulloch, Ian K. Snook, & Irene Yarovsky. (2005). The structure of disordered carbon solids studied using a hybrid reverse Monte Carlo algorithm. Journal of Physics Condensed Matter. 17(17). 2605–2616. 38 indexed citations
20.
Opletal, George, Timothy C. Petersen, Brendan O’Malley, et al.. (2002). Hybrid approach for generating realistic amorphous carbon structure using metropolis and reverse Monte Carlo. Molecular Simulation. 28(10-11). 927–938. 120 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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