Mark T. Storr

864 total citations
28 papers, 691 citations indexed

About

Mark T. Storr is a scholar working on Materials Chemistry, Inorganic Chemistry and Condensed Matter Physics. According to data from OpenAlex, Mark T. Storr has authored 28 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Materials Chemistry, 11 papers in Inorganic Chemistry and 9 papers in Condensed Matter Physics. Recurrent topics in Mark T. Storr's work include Nuclear Materials and Properties (19 papers), Radioactive element chemistry and processing (11 papers) and Rare-earth and actinide compounds (7 papers). Mark T. Storr is often cited by papers focused on Nuclear Materials and Properties (19 papers), Radioactive element chemistry and processing (11 papers) and Rare-earth and actinide compounds (7 papers). Mark T. Storr collaborates with scholars based in United Kingdom, United States and Portugal. Mark T. Storr's co-authors include Marco Molinari, Stephen C. Parker, P. Mark Rodger, Nora H. de Leeuw, Paul C. Taylor, G. C. Allen, Xavier Aparicio‐Anglès, David O. Scanlon, Ashley E. Shields and S.D. Kenny and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and Chemical Communications.

In The Last Decade

Mark T. Storr

28 papers receiving 681 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark T. Storr United Kingdom 16 496 313 218 132 99 28 691
А. Е. Teplykh Russia 15 181 0.4× 80 0.3× 72 0.3× 168 1.3× 265 2.7× 73 657
A. Kurnosov Russia 13 228 0.5× 91 0.3× 66 0.3× 139 1.1× 31 0.3× 21 512
Anna Y. Likhacheva Russia 16 392 0.8× 94 0.3× 38 0.2× 68 0.5× 32 0.3× 53 708
Nico Grimm Germany 11 167 0.3× 134 0.4× 55 0.3× 188 1.4× 9 0.1× 19 540
A. Giannasi Italy 11 152 0.3× 31 0.1× 116 0.5× 167 1.3× 21 0.2× 22 391
Jean-Pierre Petitet France 4 150 0.3× 34 0.1× 141 0.6× 264 2.0× 19 0.2× 7 510
Daniel J. Bull United Kingdom 14 284 0.6× 53 0.2× 51 0.2× 59 0.4× 59 0.6× 20 445
Santu Das India 17 195 0.4× 77 0.2× 34 0.2× 43 0.3× 18 0.2× 55 763
Jeasung Park South Korea 15 257 0.5× 220 0.7× 547 2.5× 891 6.8× 10 0.1× 29 1.2k
D. Roudil France 16 732 1.5× 466 1.5× 254 1.2× 6 0.0× 38 0.4× 48 840

Countries citing papers authored by Mark T. Storr

Since Specialization
Citations

This map shows the geographic impact of Mark T. Storr'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 Mark T. Storr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark T. Storr more than expected).

Fields of papers citing papers by Mark T. Storr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark T. Storr. 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 Mark T. Storr. The network helps show where Mark T. Storr may publish in the future.

Co-authorship network of co-authors of Mark T. Storr

This figure shows the co-authorship network connecting the top 25 collaborators of Mark T. Storr. A scholar is included among the top collaborators of Mark T. Storr 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 Mark T. Storr. Mark T. Storr 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.
Storr, Mark T., et al.. (2024). Predicting Long-Time-Scale Kinetics under Variable Experimental Conditions with Kinetica.jl. Journal of Chemical Theory and Computation. 20(12). 5196–5214. 4 indexed citations
2.
Harker, Robert M., et al.. (2024). Large-scale density functional theory simulations of defects and hydrogen incorporation in PuO2. Physical review. B.. 109(22). 1 indexed citations
3.
Smith, Thomas, Jonathan M. Skelton, David J. Cooke, et al.. (2023). Structural dynamics of Schottky and Frenkel defects in CeO2: a density-functional theory study. Journal of Physics Energy. 5(2). 25004–25004. 9 indexed citations
4.
Harker, Robert M., et al.. (2023). Linear-scaling density functional theory (DFT) simulations of point, Frenkel and Schottky defects in CeO2. Computational Materials Science. 229. 112396–112396. 11 indexed citations
5.
Skelton, Jonathan M., Atsushi Togo, David J. Cooke, et al.. (2022). Structural dynamics of Schottky and Frenkel defects in ThO2: a density-functional theory study. Journal of Materials Chemistry A. 10(4). 1861–1875. 15 indexed citations
6.
Smith, Thomas, David J. Cooke, Lisa J. Gillie, et al.. (2022). Structure and Properties of Cubic PuH2 and PuH3: A Density Functional Theory Study. Crystals. 12(10). 1499–1499. 2 indexed citations
7.
Harker, Robert M., et al.. (2020). Thermodynamic Evolution of Cerium Oxide Nanoparticle Morphology Using Carbon Dioxide. The Journal of Physical Chemistry C. 124(42). 23210–23220. 23 indexed citations
8.
Shields, Ashley E., et al.. (2020). Interaction of hydrogen with actinide dioxide (011) surfaces. The Journal of Chemical Physics. 153(1). 5 indexed citations
9.
Shields, Ashley E., et al.. (2019). Interaction of hydrogen with actinide dioxide (111) surfaces. The Journal of Chemical Physics. 150(13). 14705–14705. 10 indexed citations
10.
Shields, Ashley E., et al.. (2018). Magnetic structure of UO 2 and NpO 2 by first-principle methods. Physical Chemistry Chemical Physics. 21(2). 760–771. 36 indexed citations
11.
Shields, Ashley E., et al.. (2018). Noncollinear Relativistic DFT + U Calculations of Actinide Dioxide Surfaces. The Journal of Physical Chemistry C. 123(1). 356–366. 16 indexed citations
12.
Shields, Ashley E., et al.. (2018). Hidden magnetic order in plutonium dioxide nuclear fuel. Physical Chemistry Chemical Physics. 20(32). 20943–20951. 38 indexed citations
13.
Molinari, Marco, et al.. (2015). Hydride ion formation in stoichiometric UO2. Chemical Communications. 51(90). 16209–16212. 18 indexed citations
14.
Parker, Stephen C., et al.. (2014). Density functional theory investigation of the layered uranium oxides U3O8 and U2O5. Dalton Transactions. 44(6). 2613–2622. 38 indexed citations
15.
Scott, Christopher J., S.D. Kenny, Mark T. Storr, & Andrew Willetts. (2013). Modelling of dissolved H in Ga stabilised δ-Pu. Journal of Nuclear Materials. 442(1-3). 83–89. 3 indexed citations
16.
Robinson, M. T., S.D. Kenny, Roger Smith, & Mark T. Storr. (2013). He migration and bubble formation in Ga stabilised δ-Pu. Journal of Nuclear Materials. 444(1-3). 493–500. 18 indexed citations
17.
Robinson, M. T., S.D. Kenny, Roger Smith, & Mark T. Storr. (2012). Point defect formation and migration in Ga stabilised δ-Pu. Journal of Nuclear Materials. 423(1-3). 16–21. 15 indexed citations
18.
Robinson, M. T., et al.. (2009). Simulating radiation damage in δ-plutonium. Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms. 267(18). 2967–2970. 20 indexed citations
19.
Storr, Mark T., et al.. (2004). Kinetic Inhibitor of Hydrate Crystallization. Journal of the American Chemical Society. 126(5). 1569–1576. 135 indexed citations
20.
Storr, Mark T. & P. Mark Rodger. (2000). A Molecular Dynamics Study of the Mechanism of Kinetic Inhibition. Annals of the New York Academy of Sciences. 912(1). 669–677. 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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