Michael A. Seaton

649 citations
22 papers · 472 · h-index 9

Impact in

Papers in

    • Lattice Boltzmann Simulation Studies 5
    • Nuclear Materials and Properties 3
    • Block Copolymer Self-Assembly 2
    • Material Dynamics and Properties 2
    • Machine Learning in Materials Science 2

Michael A. Seaton

21 papers receiving 466 citations

Peers

Michael A. Seaton
Comparison fields: 5 of 76
  • Computational Mechanics 130
  • Materials Chemistry 279
  • Physical and Theoretical Chemistry 45
  • Organic Chemistry 125
  • Fluid Flow and Transfer Processes 21
Replace Annalisa Cardellini with:
Annalisa Cardellini Italy
Yasushi MUTO Japan
J.-C. Desplat United Kingdom
Nicodemo Di Pasquale United Kingdom
Aaron M. Drews United States
Martin-D. Lacasse United States
E. S. McGarrity United States
K. Mussawisade Germany
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Michael A. Seaton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael A. Seaton Line = papers co-authored together Michael A. Seaton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013125
2 201892
3 201382
4 201447
5 201542
6 201924
7 202013
8 20188
9 20208
10 20215
11 20215
12 20184
13 20203
14 20113
15
Virtual channel concept for measuring solids mass flow rate
20033
16 20032
17
The National Model Fire Prevention Code: who's going to write it?
19962
18 20211
19 19911
20 20211

About Michael A. Seaton

Michael A. Seaton is a scholar working on Computational Mechanics, Materials Chemistry, Electrical and Electronic Engineering, Mechanical Engineering and Condensed Matter Physics, having authored 22 papers that have together received 472 indexed citations. Recurring topics across this work include Lattice Boltzmann Simulation Studies (5 papers), Nuclear Materials and Properties (3 papers), Aerosol Filtration and Electrostatic Precipitation (3 papers), Block Copolymer Self-Assembly (2 papers), Material Dynamics and Properties (2 papers), Injection Molding Process and Properties (2 papers), Machine Learning in Materials Science (2 papers) and Theoretical and Computational Physics (2 papers). The work is most often cited by research in Computational Mechanics (130 citations), Materials Chemistry (279 citations), Physical and Theoretical Chemistry (45 citations), Organic Chemistry (125 citations) and Fluid Flow and Transfer Processes (21 citations). Michael A. Seaton has collaborated with scholars based in United Kingdom, Germany and Finland. Frequent co-authors include R. L. Anderson, Sebastian Metz, William R. Smith, Dorothy M. Duffy, K. Nordlund, Ilian T. Todorov, Eva Zarkadoula, Kostya Trachenko, Szymon L. Daraszewicz and Martin T. Dove. Their work appears in journals such as Molecular Simulation, Journal of Physics Condensed Matter, Journal of Physics A Mathematical and Theoretical, Computer Physics Communications and Soft Matter.

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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