Eiji Shima

2.3k total citations · 1 hit paper
75 papers, 1.7k citations indexed

About

Eiji Shima is a scholar working on Computational Mechanics, Aerospace Engineering and Applied Mathematics. According to data from OpenAlex, Eiji Shima has authored 75 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computational Mechanics, 34 papers in Aerospace Engineering and 23 papers in Applied Mathematics. Recurrent topics in Eiji Shima's work include Computational Fluid Dynamics and Aerodynamics (45 papers), Fluid Dynamics and Turbulent Flows (29 papers) and Gas Dynamics and Kinetic Theory (23 papers). Eiji Shima is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (45 papers), Fluid Dynamics and Turbulent Flows (29 papers) and Gas Dynamics and Kinetic Theory (23 papers). Eiji Shima collaborates with scholars based in Japan, United States and Germany. Eiji Shima's co-authors include Keiichi Kitamura, Takuya Matsuda, Philip L. Roe, Keisuke Sawada, Ryoji Takaki, Yoshiaki Nakamura, Hidenori Takeda, T. Haga, Seiji Tsutsumi and Z.J. Wang and has published in prestigious journals such as The Astrophysical Journal, Scientific Reports and Journal of Computational Physics.

In The Last Decade

Eiji Shima

71 papers receiving 1.6k citations

Hit Papers

Parameter-Free Simple Low-Dissipation AUSM-Family Scheme ... 2011 2026 2016 2021 2011 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Parameter-Free Simple Low-Dissipation AUSM-Family Scheme for All Speeds
    2011 286 citations Eiji Shima, Keiichi Kitamura AIAA Journal profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eiji Shima Japan 20 1.3k 666 585 263 83 75 1.7k
Sin-Chung Chang United States 19 1.4k 1.0× 529 0.8× 418 0.7× 106 0.4× 133 1.6× 77 1.7k
Stuart J. Laurence United States 24 1.4k 1.1× 877 1.3× 656 1.1× 70 0.3× 60 0.7× 102 1.7k
Harland M. Glaz United States 12 1.8k 1.4× 235 0.4× 617 1.1× 137 0.5× 120 1.4× 30 2.1k
David W. Bogdanoff United States 21 1.3k 1.0× 1.4k 2.2× 858 1.5× 171 0.7× 41 0.5× 87 2.0k
Marcel Vinokur United States 21 2.2k 1.7× 661 1.0× 677 1.2× 119 0.5× 187 2.3× 51 2.5k
Robert H. Nichols United States 17 777 0.6× 524 0.8× 236 0.4× 207 0.8× 57 0.7× 41 1.1k
R.S. Myong South Korea 31 1.6k 1.2× 960 1.4× 1.3k 2.2× 160 0.6× 138 1.7× 147 2.5k
D. CHAUSSEE United States 15 1.5k 1.1× 815 1.2× 336 0.6× 115 0.4× 36 0.4× 45 1.7k
Yen Liu United States 28 2.5k 1.9× 598 0.9× 1.0k 1.7× 112 0.4× 177 2.1× 67 3.0k
H.- Kreiss United States 21 1.1k 0.9× 375 0.6× 380 0.6× 95 0.4× 177 2.1× 44 1.7k

Countries citing papers authored by Eiji Shima

Since Specialization
Citations

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

Fields of papers citing papers by Eiji Shima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eiji Shima

This figure shows the co-authorship network connecting the top 25 collaborators of Eiji Shima. A scholar is included among the top collaborators of Eiji Shima 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 Eiji Shima. Eiji Shima 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.
Matsuo, Akiko, Eiji Shima, Noboru Itouyama, et al.. (2025). Numerical investigation of a detonation-assisted fuel injection system in supersonic crossflow. Combustion and Flame. 281. 114442–114442.
2.
3.
Yonezawa, Koichi, et al.. (2023). Integrated Evaluation of the Aeroacoustics and Psychoacoustics of a Single Propeller. International Journal of Environmental Research and Public Health. 20(3). 1955–1955. 6 indexed citations
4.
Shima, Eiji, et al.. (2020). Optimization of one-parameter family of integration formulae for solving stiff chemical-kinetic ODEs. Scientific Reports. 10(1). 21330–21330. 10 indexed citations
5.
Koizumi, Hiroshi, Seiji Tsutsumi, & Eiji Shima. (2018). Feedback Control of Karman Vortex Shedding from a Cylinder using Deep Reinforcement Learning. 19 indexed citations
6.
Haga, T., et al.. (2014). Assessment of an Unstructured CFD Solver for RANS Simulation on Body-Fitted Cartesian Grids. 52nd Aerospace Sciences Meeting. 3 indexed citations
7.
Shima, Eiji & Keiichi Kitamura. (2013). Multidimensional Numerical Noise from Captured Shock Wave and Its Cure. AIAA Journal. 51(4). 992–998. 19 indexed citations
8.
Shima, Eiji & Keiichi Kitamura. (2012). New approaches of efficient and time accurate compressible CFD for unsteady low Mach number flows. 50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition. 2 indexed citations
9.
Kitamura, Keiichi, et al.. (2011). Numerical Analysis on Aerodynamic Characteristics of Advanced Solid Rocket. 10. 1–10. 4 indexed citations
10.
Kitamura, Keiichi, et al.. (2010). Numerical flow simulation of a reusable sounding rocket during nose-up rotation. Bulletin of the American Physical Society. 63. 1 indexed citations
11.
Akita, Takeshi, Ryoji Takaki, & Eiji Shima. (2010). An Estimation Method of Thermal Contact Resistances in Satellite Thermal Model by Using the Ensemble Kalman Filter. 9(0). 1–8. 3 indexed citations
12.
Kitamura, Keiichi, et al.. (2010). Wind Tunnel Tests on Aerodynamic Characteristics of Advanced Solid Rocket. 9(0). 9–14. 6 indexed citations
13.
Shima, Eiji & Keiichi Kitamura. (2009). On AUSM-Family Scheme for All Speeds with Shock Detection for Carbuncle-Fix. 18 indexed citations
14.
Tsutsumi, Seiji, Taro Shimizu, Ryoji Takaki, Eiji Shima, & Kozo Fujii. (2008). Numerical Study of Pressure Waves Generated by H-IIA Launch Vehicle at Lift-off. 한국추진공학회 학술대회논문집. 266–271. 6 indexed citations
15.
Aoyama, Takashi, et al.. (1999). BVI Noise Predictions by Moving Overlapped Grid Method. 14 indexed citations
16.
Shima, Eiji, et al.. (1997). Role of CFD in Aeronautical Engineering (No.14) -AUSM Type Upwind Schemes-(Proceedings of the 14th NAL Symposium on Aircraft Computational Aerodynamics). 34. 7–12. 37 indexed citations
17.
Sakai, Kenji, et al.. (1995). Application of Aerodynamic Analysis Technology to Train Shape Design.. 38–43. 2 indexed citations
18.
Sawada, Keisuke, et al.. (1991). On the stability of wind accretion.. 248(1). 301–23. 6 indexed citations
19.
Umeda, Y., et al.. (1990). Instability of Astrophysical Jets. II: Numerical Simulation of Two-Dimensional Choked Underexpanded Slab Jets. Progress of Theoretical Physics. 84(5). 856–866. 6 indexed citations
20.
Sawada, Keisuke, et al.. (1986). The Osher upwind scheme and its application to cosmic gas dynamics. Kyoto University Research Information Repository (Kyoto University). 48. 240–264. 4 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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