Brian Puchala

1.6k total citations
30 papers, 1.2k citations indexed

About

Brian Puchala is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials and Condensed Matter Physics. According to data from OpenAlex, Brian Puchala has authored 30 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Materials Chemistry, 6 papers in Electronic, Optical and Magnetic Materials and 4 papers in Condensed Matter Physics. Recurrent topics in Brian Puchala's work include Machine Learning in Materials Science (7 papers), ZnO doping and properties (5 papers) and Ga2O3 and related materials (4 papers). Brian Puchala is often cited by papers focused on Machine Learning in Materials Science (7 papers), ZnO doping and properties (5 papers) and Ga2O3 and related materials (4 papers). Brian Puchala collaborates with scholars based in United States, China and Taiwan. Brian Puchala's co-authors include Anton Van der Ven, Anirudh Raju Natarajan, Dane Morgan, John Thomas, Jonathan E. Spowart, Krishna Garikipati, Michael L. Falk, Emmanuelle A. Marquis, John E. Allison and Margaret Hedstrom and has published in prestigious journals such as Science, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

In The Last Decade

Brian Puchala

30 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brian Puchala United States	19	774	335	314	136	134	30	1.2k
Akira Yasuhara Japan	19	537 0.7×	242 0.7×	124 0.4×	93 0.7×	252 1.9×	105	1.2k
Xueqiang Cao China	24	1.1k 1.4×	347 1.0×	348 1.1×	169 1.2×	72 0.5×	52	1.6k
Jean-Paul Chopart France	24	745 1.0×	219 0.7×	903 2.9×	87 0.6×	58 0.4×	87	1.7k
Jean‐Sébastien Micha France	22	708 0.9×	383 1.1×	266 0.8×	259 1.9×	29 0.2×	77	1.2k
Bingbing Zhang China	17	513 0.7×	306 0.9×	224 0.7×	65 0.5×	51 0.4×	51	1.1k
Lihong Liang China	19	617 0.8×	168 0.5×	150 0.5×	273 2.0×	61 0.5×	65	1.1k
Alberto Giacomello Italy	22	465 0.6×	198 0.6×	286 0.9×	167 1.2×	60 0.4×	66	1.6k
S. Matsumura Japan	22	910 1.2×	717 2.1×	192 0.6×	81 0.6×	50 0.4×	69	1.5k
Xiaoming Qiu China	21	580 0.7×	723 2.2×	443 1.4×	163 1.2×	27 0.2×	142	1.7k

Countries citing papers authored by Brian Puchala

Since Specialization

Citations

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

Fields of papers citing papers by Brian Puchala

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Puchala

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Puchala. A scholar is included among the top collaborators of Brian Puchala 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 Brian Puchala. Brian Puchala 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

Puchala, Brian, John Thomas, & Anton Van der Ven. (2025). CASM Monte Carlo: Calculations of the thermodynamic and kinetic properties of complex multicomponent crystals. Computational Materials Science. 260. 114091–114091. 2 indexed citations

Kimura, Yuki, et al.. (2023). Dissolution enables dolomite crystal growth near ambient conditions. Science. 382(6673). 915–920. 62 indexed citations

Puchala, Brian, et al.. (2022). CASM — A software package for first-principles based study of multicomponent crystalline solids. Computational Materials Science. 217. 111897–111897. 42 indexed citations

Ven, Anton Van der, John Thomas, Brian Puchala, & Anirudh Raju Natarajan. (2018). First-Principles Statistical Mechanics of Multicomponent Crystals. Annual Review of Materials Research. 48(1). 27–55. 115 indexed citations

Puchala, Brian, et al.. (2018). Resolving phase stability in the Ti-O binary with first-principles statistical mechanics methods. Physical Review Materials. 2(3). 27 indexed citations

DeWitt, Stephen, Anirudh Raju Natarajan, Vicente Araullo‐Peters, et al.. (2017). Misfit-driven β′′′ precipitate composition and morphology in Mg-Nd alloys. Acta Materialia. 136. 378–389. 36 indexed citations

Natarajan, Anirudh Raju, John Thomas, Brian Puchala, & Anton Van der Ven. (2017). Symmetry-adapted order parameters and free energies for solids undergoing order-disorder phase transitions. Physical review. B.. 96(13). 38 indexed citations

Puchala, Brian, et al.. (2016). The Materials Commons: A Collaboration Platform and Information Repository for the Global Materials Community. JOM. 68(8). 2035–2044. 63 indexed citations

Natarajan, Anirudh Raju, et al.. (2016). On the early stages of precipitation in dilute Mg–Nd alloys. Acta Materialia. 108. 367–379. 106 indexed citations

10.

Chen, Minhua, Brian Puchala, & Anton Van der Ven. (2015). High-temperature stability of δ′-ZrO. Calphad. 51. 292–298. 22 indexed citations

11.

Puchala, Brian, Shih‐kang Lin, Ligen Wang, & Dane Morgan. (2013). PEMFC Nanoparticle Catalyst Dealloying from Kinetic Monte Carlo Simulations. ECS Transactions. 50(2). 1643–1649. 4 indexed citations

12.

Puchala, Brian & Dane Morgan. (2013). Publisher's Note: Stable interstitial dopant–vacancy complexes in ZnO [Phys. Rev. B85, 195207 (2012)]. Physical Review B. 87(7). 5 indexed citations

13.

Ven, Anton Van der, Brian Puchala, & Takeshi Nagase. (2013). Ti- and Zr-based metal-air batteries. Journal of Power Sources. 242. 400–404. 11 indexed citations

14.

Yankovich, Andrew B., Brian Puchala, Fei Wang, et al.. (2012). Stable p-Type Conduction from Sb-Decorated Head-to-Head Basal Plane Inversion Domain Boundaries in ZnO Nanowires. Nano Letters. 12(3). 1311–1316. 59 indexed citations

15.

Puchala, Brian & Dane Morgan. (2012). Atomistic modeling of As diffusion in ZnO. Physical Review B. 85(6). 23 indexed citations

16.

Jacobsen, Heather, Brian Puchala, T. F. Kuech, & Dane Morgan. (2012). Ab initiostudy of the strain dependent thermodynamics of Bi doping in GaAs. Physical Review B. 86(8). 43 indexed citations

17.

Puchala, Brian & Dane Morgan. (2012). Stable interstitial dopant–vacancy complexes in ZnO. Physical Review B. 85(19). 26 indexed citations

18.

Puchala, Brian, Michael L. Falk, & Krishna Garikipati. (2010). An energy basin finding algorithm for kinetic Monte Carlo acceleration. The Journal of Chemical Physics. 132(13). 134104–134104. 82 indexed citations

19.

Puchala, Brian, Michael L. Falk, & Krishna Garikipati. (2008). Elastic effects on relaxation volume tensor calculations. Physical Review B. 77(17). 15 indexed citations

20.

Garikipati, Krishna, Michael L. Falk, Mathieu Bouville, Brian Puchala, & Harish Narayanan. (2006). The continuum elastic and atomistic viewpoints on the formation volume and strain energy of a point defect. Journal of the Mechanics and Physics of Solids. 54(9). 1929–1951. 22 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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