John E. Pask

2.6k total citations
54 papers, 1.7k citations indexed

About

John E. Pask is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry and Condensed Matter Physics. According to data from OpenAlex, John E. Pask has authored 54 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Atomic and Molecular Physics, and Optics, 24 papers in Materials Chemistry and 15 papers in Condensed Matter Physics. Recurrent topics in John E. Pask's work include Advanced Chemical Physics Studies (22 papers), Physics of Superconductivity and Magnetism (10 papers) and High-pressure geophysics and materials (10 papers). John E. Pask is often cited by papers focused on Advanced Chemical Physics Studies (22 papers), Physics of Superconductivity and Magnetism (10 papers) and High-pressure geophysics and materials (10 papers). John E. Pask collaborates with scholars based in United States, Türkiye and Czechia. John E. Pask's co-authors include P. A. Sterne, Phanish Suryanarayana, C. Y. Fong, N. Sukumar, Bern Klein, Vincenzo Lordi, Warren E. Pickett, Lin Yang, Amit Samanta and Tuan Anh Pham and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Physical review. B, Condensed matter.

In The Last Decade

John E. Pask

52 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John E. Pask United States 24 704 699 401 344 290 54 1.7k
Phanish Suryanarayana United States 26 884 1.3× 660 0.9× 160 0.4× 173 0.5× 333 1.1× 131 1.9k
Vikram Gavini United States 22 800 1.1× 668 1.0× 440 1.1× 109 0.3× 161 0.6× 56 1.5k
Ping Zhang China 27 1.2k 1.7× 1.1k 1.6× 449 1.1× 270 0.8× 555 1.9× 93 2.6k
Andrew Canning United States 26 1.0k 1.5× 651 0.9× 552 1.4× 148 0.4× 162 0.6× 70 1.9k
Franz Gähler Germany 14 1.5k 2.1× 400 0.6× 179 0.4× 124 0.4× 227 0.8× 50 2.0k
Ralf Meyer Germany 26 793 1.1× 787 1.1× 706 1.8× 133 0.4× 204 0.7× 116 1.8k
Damien Caliste France 20 810 1.2× 533 0.8× 499 1.2× 91 0.3× 136 0.5× 38 1.4k
W. Dieterich Germany 29 1.9k 2.7× 729 1.0× 684 1.7× 288 0.8× 1.1k 3.8× 118 3.3k
Yunxian Liu China 22 1.3k 1.8× 527 0.8× 157 0.4× 265 0.8× 826 2.8× 78 2.2k
M. J. Rayson United Kingdom 24 1.7k 2.4× 569 0.8× 761 1.9× 106 0.3× 106 0.4× 94 2.2k

Countries citing papers authored by John E. Pask

Since Specialization
Citations

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

Fields of papers citing papers by John E. Pask

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John E. Pask. 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 John E. Pask. The network helps show where John E. Pask may publish in the future.

Co-authorship network of co-authors of John E. Pask

This figure shows the co-authorship network connecting the top 25 collaborators of John E. Pask. A scholar is included among the top collaborators of John E. Pask 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 John E. Pask. John E. Pask 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.
Lewis, Richard J., et al.. (2025). The complex interplay of chemo- and bio-catalysis for one-pot oxidation cascades – indole oxidation in focus. Green Chemistry. 28(3). 1586–1600.
2.
Suryanarayana, Phanish, et al.. (2025). Accuracy of Kohn–Sham density functional theory for warm- and hot-dense matter equation of state. Physics of Plasmas. 32(3). 1 indexed citations
3.
Chow, Edmond, et al.. (2024). SPARC v2.0.0: Spin-orbit coupling, dispersion interactions, and advanced exchange–correlation functionals. Software Impacts. 20. 100649–100649. 12 indexed citations
4.
Pask, John E., et al.. (2024). Spectral scheme for atomic structure calculations in density functional theory. Computer Physics Communications. 308. 109448–109448. 1 indexed citations
5.
Pask, John E., et al.. (2024). Shock Hugoniot calculations using on-the-fly machine learned force fields with ab initio accuracy. Physics of Plasmas. 31(10). 3 indexed citations
6.
Pask, John E., et al.. (2024). Many-Body Electronic Correlation Energy using Krylov Subspace Linear Solvers. 1–15. 1 indexed citations
7.
Pask, John E., et al.. (2024). On-the-fly machine learned force fields for the study of warm dense matter: Application to diffusion and viscosity of CH. Physics of Plasmas. 31(4). 8 indexed citations
8.
Čertı́k, Ondřej, John E. Pask, Isuru Fernando, et al.. (2023). High-order finite element method for atomic structure calculations. Computer Physics Communications. 297. 109051–109051. 6 indexed citations
9.
Thapa, Bishal, et al.. (2023). Assessing the source of error in the Thomas–Fermi–von Weizsäcker density functional. The Journal of Chemical Physics. 158(21). 4 indexed citations
10.
Pask, John E., et al.. (2022). Real-space density kernel method for Kohn–Sham density functional theory calculations at high temperature. The Journal of Chemical Physics. 156(9). 94105–94105. 6 indexed citations
11.
Shojaei, Mostafa Faghih, John E. Pask, Andrew J. Medford, & Phanish Suryanarayana. (2022). Soft and transferable pseudopotentials from multi-objective optimization. Computer Physics Communications. 283. 108594–108594. 26 indexed citations
12.
Pham, Tuan Anh, Kyoung E. Kweon, Amit Samanta, Vincenzo Lordi, & John E. Pask. (2017). Solvation and Dynamics of Sodium and Potassium in Ethylene Carbonate from ab Initio Molecular Dynamics Simulations. The Journal of Physical Chemistry C. 121(40). 21913–21920. 193 indexed citations
13.
Vecharynski, Eugene, Chao Yang, & John E. Pask. (2015). A projected preconditioned conjugate gradient algorithm for computing many extreme eigenpairs of a Hermitian matrix. Journal of Computational Physics. 290. 73–89. 34 indexed citations
14.
Cai, Yunfeng, Zhaojun Bai, John E. Pask, & N. Sukumar. (2013). Hybrid preconditioning for iterative diagonalization of ill-conditioned generalized eigenvalue problems in electronic structure calculations. Journal of Computational Physics. 255. 16–30. 11 indexed citations
15.
Pask, John E., et al.. (2012). Half-Metallic Materials and Their Properties. 43 indexed citations
16.
Fong, C. Y., et al.. (2006). Half-Metallic Digital Ferromagnetic Heterostructure Composed of aδ-Doped Layer of Mn in Si. Physical Review Letters. 96(2). 27211–27211. 53 indexed citations
17.
Pask, John E. & P. A. Sterne. (2005). Real-space formulation of the electrostatic potential and total energy of solids. Physical Review B. 71(11). 47 indexed citations
18.
Fong, C. Y., et al.. (2003). Half-Metallic Properties of MnC. APS March Meeting Abstracts. 2003. 1 indexed citations
19.
Pask, John E., Lin Yang, C. Y. Fong, Warren E. Pickett, & S. Dağ. (2003). Six low-strain zinc-blende half metals: Anab initioinvestigation. Physical review. B, Condensed matter. 67(22). 160 indexed citations
20.
Pask, John E.. (1999). A finite-element method for large-scale ab initio electronic structure calculations. PhDT. 1 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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