Michael M. Dupin

590 total citations
10 papers, 467 citations indexed

About

Michael M. Dupin is a scholar working on Computational Mechanics, Pulmonary and Respiratory Medicine and Electrical and Electronic Engineering. According to data from OpenAlex, Michael M. Dupin has authored 10 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Mechanics, 5 papers in Pulmonary and Respiratory Medicine and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Michael M. Dupin's work include Lattice Boltzmann Simulation Studies (8 papers), Blood properties and coagulation (5 papers) and Fluid Dynamics and Turbulent Flows (4 papers). Michael M. Dupin is often cited by papers focused on Lattice Boltzmann Simulation Studies (8 papers), Blood properties and coagulation (5 papers) and Fluid Dynamics and Turbulent Flows (4 papers). Michael M. Dupin collaborates with scholars based in United Kingdom and United States. Michael M. Dupin's co-authors include C. M. Care, Ian Halliday, Lance L. Munn, Lyuba Alboul, Aaron W. Mulivor and Sergey S. Shevkoplyas and has published in prestigious journals such as Journal of Biomechanics, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences and Annals of Biomedical Engineering.

In The Last Decade

Michael M. Dupin

10 papers receiving 456 citations

Peers

Michael M. Dupin

CM

PRM

BE

PHYSI

EEE

Chenghai Sun United States

Ken-ichi Tsubota Japan

Sai K. Doddi United States

Zaiyi Shen France

Avishay Bransky Israel

Johannes Mauer Germany

Mehdi Nikfar Iran

Viviana Clavería France

Yu-Hau Tseng Taiwan

Aymen Laadhari Switzerland

Chenghai Sun United States

Michael M. Dupin

408 ×1.4

CM

187 ×0.8

PRM

120 ×0.9

BE

81 ×0.8

PHYSI

106 ×1.1

EEE

Citations per year, relative to Michael M. Dupin Michael M. Dupin (= 1×) peers Chenghai Sun

Countries citing papers authored by Michael M. Dupin

Since Specialization

Citations

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

Fields of papers citing papers by Michael M. Dupin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael M. Dupin

This figure shows the co-authorship network connecting the top 25 collaborators of Michael M. Dupin. A scholar is included among the top collaborators of Michael M. Dupin 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 M. Dupin. Michael M. Dupin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Munn, Lance L. & Michael M. Dupin. (2008). Blood Cell Interactions and Segregation in Flow. Annals of Biomedical Engineering. 36(4). 534–544. 72 indexed citations

2.

Dupin, Michael M., Ian Halliday, C. M. Care, & Lance L. Munn. (2008). Efficiency oriented, hybrid approach for modelling deformable particles in three dimensions. Progress in Computational Fluid Dynamics An International Journal. 8(1/2/3/4). 109–109. 2 indexed citations

3.

Dupin, Michael M., Ian Halliday, C. M. Care, & Lance L. Munn. (2008). Lattice Boltzmann modelling of blood cell dynamics. International journal of computational fluid dynamics. 22(7). 481–492. 46 indexed citations

4.

Dupin, Michael M., Ian Halliday, C. M. Care, Lyuba Alboul, & Lance L. Munn. (2007). Modeling the flow of dense suspensions of deformable particles in three dimensions. Physical Review E. 75(6). 66707–66707. 204 indexed citations

5.

Dupin, Michael M., Ian Halliday, & C. M. Care. (2006). Simulation of a microfluidic flow-focusing device. Physical Review E. 73(5). 55701–55701. 62 indexed citations

6.

Munn, Lance L., et al.. (2006). Tumor vessel abnormalities affect blood cell dynamics and flow distribution. Journal of Biomechanics. 39. S396–S396. 1 indexed citations

7.

Dupin, Michael M., Ian Halliday, & C. M. Care. (2005). A multi-component lattice Boltzmann scheme: Towards the mesoscale simulation of blood flow. Medical Engineering & Physics. 28(1). 13–18. 23 indexed citations

8.

Dupin, Michael M., et al.. (2004). A many–component lattice Boltzmann equation simulation for transport of deformable particles. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 362(1822). 1885–1914. 14 indexed citations

9.

Dupin, Michael M., et al.. (2004). A lattice Boltzmann model of flow blunting. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 362(1821). 1755–1761. 3 indexed citations

10.

Dupin, Michael M., Ian Halliday, & C. M. Care. (2003). Multi-component lattice Boltzmann equation for mesoscale blood flow. Journal of Physics A Mathematical and General. 36(31). 8517–8534. 40 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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