Michael A. Seaton

649 total citations
22 papers, 472 citations indexed

About

Michael A. Seaton is a scholar working on Computational Mechanics, Materials Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Michael A. Seaton has authored 22 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Mechanics, 8 papers in Materials Chemistry and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Michael A. Seaton's work include Lattice Boltzmann Simulation Studies (5 papers), Aerosol Filtration and Electrostatic Precipitation (3 papers) and Nuclear Materials and Properties (3 papers). Michael A. Seaton is often cited by papers focused on Lattice Boltzmann Simulation Studies (5 papers), Aerosol Filtration and Electrostatic Precipitation (3 papers) and Nuclear Materials and Properties (3 papers). Michael A. Seaton collaborates with scholars based in United Kingdom, Germany and Finland. Michael A. Seaton's co-authors include R. L. Anderson, Sebastian Metz, William R. Smith, Dorothy M. Duffy, Kostya Trachenko, Eva Zarkadoula, Ilian T. Todorov, K. Nordlund, Szymon L. Daraszewicz and Martin T. Dove and has published in prestigious journals such as Journal of Chemical Theory and Computation, Journal of Physics Condensed Matter and Computer Physics Communications.

In The Last Decade

Michael A. Seaton

21 papers receiving 466 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael A. Seaton United Kingdom 9 279 130 125 68 54 22 472
Martin-D. Lacasse United States 5 387 1.4× 60 0.5× 147 1.2× 42 0.6× 94 1.7× 6 568
Myfanwy E. Evans Germany 13 147 0.5× 51 0.4× 87 0.7× 36 0.5× 50 0.9× 31 403
J.-C. Desplat United Kingdom 7 573 2.1× 276 2.1× 315 2.5× 69 1.0× 126 2.3× 11 908
Nicodemo Di Pasquale United Kingdom 13 196 0.7× 26 0.2× 53 0.4× 61 0.9× 70 1.3× 30 387
K. Mussawisade Germany 8 262 0.9× 127 1.0× 43 0.3× 34 0.5× 161 3.0× 14 517
Annalisa Cardellini Italy 13 155 0.6× 69 0.5× 48 0.4× 36 0.5× 230 4.3× 30 536
E. S. McGarrity United States 11 296 1.1× 23 0.2× 118 0.9× 37 0.5× 125 2.3× 17 520
Georg Ganzenmüller Germany 14 253 0.9× 118 0.9× 28 0.2× 88 1.3× 171 3.2× 30 663
Yasushi MUTO Japan 11 132 0.5× 105 0.8× 145 1.2× 31 0.5× 142 2.6× 42 588

Countries citing papers authored by Michael A. Seaton

Since Specialization
Citations

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

Fields of papers citing papers by Michael A. Seaton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael A. Seaton. 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 Michael A. Seaton. The network helps show where Michael A. Seaton may publish in the future.

Co-authorship network of co-authors of Michael A. Seaton

This figure shows the co-authorship network connecting the top 25 collaborators of Michael A. Seaton. A scholar is included among the top collaborators of Michael A. Seaton 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 Michael A. Seaton. Michael A. Seaton 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.
Sokhan, V. P., Michael A. Seaton, & Ilian T. Todorov. (2023). Phase behaviour of coarse-grained fluids. Soft Matter. 19(30). 5824–5834.
2.
Horsch, Martin, Daniele Toti, Silvia Chiacchiera, et al.. (2021). OSMO: Ontology for Simulation, Modelling, and Optimization. Zenodo (CERN European Organization for Nuclear Research). 2969. 1 indexed citations
3.
Schenkel, Torsten, et al.. (2021). Three-dimensional single framework multicomponent lattice Boltzmann equation method for vesicle hydrodynamics. Physics of Fluids. 33(7). 5 indexed citations
4.
Horsch, Martin, Silvia Chiacchiera, Michael A. Seaton, et al.. (2021). Introduction to the VIMMP ontologies. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
5.
Horsch, Martin, Silvia Chiacchiera, Michael A. Seaton, et al.. (2020). Ontologies for the Virtual Materials Marketplace. ePubs (Science and Technology Facilities Council, Research Councils UK). 13 indexed citations
6.
Horsch, Martin, Silvia Chiacchiera, Michael A. Seaton, & Ilian T. Todorov. (2020). Mereosemiotic physicalism: A paradigm for foundational ontologies. arXiv (Cornell University). 1 indexed citations
7.
Guo, Xiaohu, et al.. (2020). Towards extreme scale dissipative particle dynamics simulations using multiple GPGPUs. Computer Physics Communications. 251. 107159–107159. 8 indexed citations
8.
Schenkel, Torsten, et al.. (2020). Chromo-dynamic multi-component lattice Boltzmann equation scheme for axial symmetry. Journal of Physics A Mathematical and Theoretical. 53(14). 145001–145001. 3 indexed citations
9.
Horsch, Martin, Christoph Niethammer, Gianluca Boccardo, et al.. (2019). Semantic Interoperability and Characterization of Data Provenance in Computational Molecular Engineering. Journal of Chemical & Engineering Data. 65(3). 1313–1329. 24 indexed citations
10.
Seaton, Michael A., et al.. (2018). Domain decomposition of the two-temperature model in DL_POLY_4. Molecular Simulation. 47(2-3). 180–187. 8 indexed citations
11.
Seaton, Michael A.. (2018). DL_MESO_DPD: development and use of mesoscale modelling software. Molecular Simulation. 47(2-3). 228–247. 4 indexed citations
12.
Anderson, R. L., David J. Bray, Annalaura Del Regno, et al.. (2018). Micelle Formation in Alkyl Sulfate Surfactants Using Dissipative Particle Dynamics. Journal of Chemical Theory and Computation. 14(5). 2633–2643. 92 indexed citations
13.
Zarkadoula, Eva, Dorothy M. Duffy, K. Nordlund, et al.. (2015). Electronic effects in high-energy radiation damage in tungsten. Journal of Physics Condensed Matter. 27(13). 135401–135401. 42 indexed citations
14.
Zarkadoula, Eva, Szymon L. Daraszewicz, Dorothy M. Duffy, et al.. (2014). Electronic effects in high-energy radiation damage in iron. Journal of Physics Condensed Matter. 26(8). 85401–85401. 47 indexed citations
15.
Zarkadoula, Eva, Szymon L. Daraszewicz, Dorothy M. Duffy, et al.. (2013). The nature of high-energy radiation damage in iron. Journal of Physics Condensed Matter. 25(12). 125402–125402. 82 indexed citations
16.
Seaton, Michael A., R. L. Anderson, Sebastian Metz, & William R. Smith. (2013). DL_MESO: highly scalable mesoscale simulations. Molecular Simulation. 39(10). 796–821. 125 indexed citations
17.
Seaton, Michael A., et al.. (2011). Application of the multicomponent lattice Boltzmann simulation method to oil/water dispersions. Journal of Physics A Mathematical and Theoretical. 44(10). 105502–105502. 3 indexed citations
18.
Seaton, Michael A., et al.. (2003). Cuileig—a benchmark for future hydropower schemes. Proceedings of the Institution of Civil Engineers - Civil Engineering. 156(3). 124–129. 2 indexed citations
19.
Seaton, Michael A.. (1996). The National Model Fire Prevention Code: who's going to write it?. PubMed. 90(1). 38–42, 45. 2 indexed citations
20.
Sahal−Bréchot, S., W. L. Wiese, Peter L. Smith, et al.. (1991). Commission 14: Atomic and Molecular data. Transactions of the International Astronomical Union. 21(2). 173–190. 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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