Michael Lijewski

1.3k total citations
17 papers, 948 citations indexed

About

Michael Lijewski is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Michael Lijewski has authored 17 papers receiving a total of 948 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computational Mechanics, 6 papers in Fluid Flow and Transfer Processes and 4 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Michael Lijewski's work include Combustion and flame dynamics (7 papers), Computational Fluid Dynamics and Aerodynamics (6 papers) and Advanced Combustion Engine Technologies (6 papers). Michael Lijewski is often cited by papers focused on Combustion and flame dynamics (7 papers), Computational Fluid Dynamics and Aerodynamics (6 papers) and Advanced Combustion Engine Technologies (6 papers). Michael Lijewski collaborates with scholars based in United States, Japan and Canada. Michael Lijewski's co-authors include John B. Bell, Marc Day, Ann Almgren, George Shu Heng Pau, Karsten Pruess, Keni Zhang, Vince Beckner, Joseph F. Grcar, R.K. Cheng and Shigeru Tachibana and has published in prestigious journals such as Combustion and Flame, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences and Advances in Water Resources.

In The Last Decade

Michael Lijewski

16 papers receiving 917 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 Lijewski United States 11 557 327 308 150 140 17 948
Lipo Wang China 15 553 1.0× 249 0.8× 146 0.5× 123 0.8× 88 0.6× 66 810
Mamoru Tanahashi Japan 22 1.6k 2.9× 964 2.9× 232 0.8× 435 2.9× 102 0.7× 152 1.8k
L. CROCCO United States 18 1.2k 2.2× 439 1.3× 174 0.6× 135 0.9× 72 0.5× 37 1.6k
Michael Stöhr Germany 29 2.7k 4.9× 1.9k 5.8× 361 1.2× 699 4.7× 142 1.0× 81 3.0k
Aashwin Mishra United States 16 497 0.9× 99 0.3× 175 0.6× 27 0.2× 58 0.4× 30 741
Tomasz G. Drozda United States 10 657 1.2× 280 0.9× 139 0.5× 111 0.7× 80 0.6× 30 838
Fabrizio Bisetti United States 23 1.2k 2.2× 908 2.8× 105 0.3× 107 0.7× 88 0.6× 80 1.5k
Wolfgang Kollmann United States 24 2.0k 3.6× 1.1k 3.3× 422 1.4× 426 2.8× 173 1.2× 85 2.2k
Vince Beckner United States 5 393 0.7× 213 0.7× 33 0.1× 99 0.7× 19 0.1× 8 590
Guilhem Lacaze United States 18 765 1.4× 361 1.1× 67 0.2× 91 0.6× 27 0.2× 31 943

Countries citing papers authored by Michael Lijewski

Since Specialization
Citations

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

Fields of papers citing papers by Michael Lijewski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Lijewski

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

All Works

17 of 17 papers shown
1.
Day, Marc, Shigeru Tachibana, John B. Bell, et al.. (2015). A combined computational and experimental characterization of lean premixed turbulent low swirl laboratory flames II. Hydrogen flames. Combustion and Flame. 162(5). 2148–2165. 73 indexed citations
2.
Dubey, Anshu, Ann Almgren, John B. Bell, et al.. (2014). A survey of high level frameworks in block-structured adaptive mesh refinement packages. Journal of Parallel and Distributed Computing. 74(12). 3217–3227. 100 indexed citations
3.
Day, Marc, Shigeru Tachibana, John B. Bell, et al.. (2011). A combined computational and experimental characterization of lean premixed turbulent low swirl laboratory flames. Combustion and Flame. 159(1). 275–290. 79 indexed citations
4.
Pau, George Shu Heng, et al.. (2011). An adaptive mesh refinement algorithm for compressible two-phase flow in porous media. Computational Geosciences. 16(3). 577–592. 35 indexed citations
5.
Pau, George Shu Heng, John B. Bell, Karsten Pruess, et al.. (2010). High-resolution simulation and characterization of density-driven flow in CO2 storage in saline aquifers. Advances in Water Resources. 33(4). 443–455. 287 indexed citations
6.
Pau, George Shu Heng, Ann Almgren, John B. Bell, & Michael Lijewski. (2009). A parallel second-order adaptive mesh algorithm for incompressible flow in porous media. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 367(1907). 4633–4654. 23 indexed citations
7.
Pau, George Shu Heng, John B. Bell, Karsten Pruess, et al.. (2009). NUMERICAL STUDIES OF DENSITY-DRIVEN FLOW IN CO 2 STORAGE IN SALINE AQUIFERS. 3 indexed citations
8.
Day, Marc, John B. Bell, Peer‐Timo Bremer, et al.. (2008). Turbulence effects on cellular burning structures in lean premixed hydrogen flames. Combustion and Flame. 156(5). 1035–1045. 124 indexed citations
9.
Day, Marc, I.G. Shepherd, John B. Bell, Joseph F. Grcar, & Michael Lijewski. (2007). Displacement speeds in turbulent premixed flame simulations. University of North Texas Digital Library (University of North Texas). 1 indexed citations
10.
Colella, Phillip, John B. Bell, Noel D. Keen, et al.. (2007). Performance and scaling of locally-structured grid methods forpartial differential equations. University of North Texas Digital Library (University of North Texas). 1 indexed citations
11.
Kamil, Shoaib, Ali Pınar, Dan Gunter, et al.. (2007). Reconfigurable hybrid interconnection for static and dynamic scientific applications. University of North Texas Digital Library (University of North Texas). 183–194. 3 indexed citations
12.
Colella, Phillip, John B. Bell, Noel D. Keen, et al.. (2007). Performance and scaling of locally-structured grid methods for partial differential equations. Journal of Physics Conference Series. 78. 12013–12013. 31 indexed citations
13.
Oliker, Leonid, S. Ethier, Tom Goodale, et al.. (2007). Scientific Application Performance on Candidate PetaScale Platforms. 1–12. 32 indexed citations
14.
Bell, John B., Marc Day, Joseph F. Grcar, et al.. (2006). Numerical simulation of a laboratory-scale turbulent slot flame. Proceedings of the Combustion Institute. 31(1). 1299–1307. 106 indexed citations
15.
Bell, John B., Marc Day, Joseph F. Grcar, & Michael Lijewski. (2006). Active control for statistically stationary turbulent premixed flame simulations. Project Euclid (Cornell University). 1(1). 29–51. 46 indexed citations
16.
Bell, John B., Marc Day, Joseph F. Grcar, et al.. (2003). Numerical simulation of a premixed turbulent V-flame. University of North Texas Digital Library (University of North Texas). 3 indexed citations
17.
Day, Marc, Phillip Colella, Michael Lijewski, Charles A. Rendleman, & Daniel L. Marcus. (1998). Embedded Boundary Algorithms for Solving the Poisson Equation on Complex Domains. eScholarship (California Digital Library). 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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