Masayasu Shimura

663 total citations
59 papers, 522 citations indexed

About

Masayasu Shimura is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Masayasu Shimura has authored 59 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Computational Mechanics, 40 papers in Fluid Flow and Transfer Processes and 16 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Masayasu Shimura's work include Combustion and flame dynamics (49 papers), Advanced Combustion Engine Technologies (40 papers) and Fire dynamics and safety research (16 papers). Masayasu Shimura is often cited by papers focused on Combustion and flame dynamics (49 papers), Advanced Combustion Engine Technologies (40 papers) and Fire dynamics and safety research (16 papers). Masayasu Shimura collaborates with scholars based in Japan, South Korea and United States. Masayasu Shimura's co-authors include Mamoru Tanahashi, Toshio Miyauchi, Naoya Fukushima, Yuki Minamoto, Yuzuru Nada, Takashi UEDA, Shoichi Tanaka, Gyungmin Choi, Takeshi Yokomori and Yoshifumi Naka and has published in prestigious journals such as International Journal of Hydrogen Energy, Fuel and IEEE Transactions on Software Engineering.

In The Last Decade

Masayasu Shimura

54 papers receiving 497 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masayasu Shimura Japan 14 485 366 145 130 38 59 522
Christopher Jainski Germany 11 500 1.0× 364 1.0× 114 0.8× 115 0.9× 32 0.8× 12 529
Patton M. Allison United States 12 638 1.3× 481 1.3× 247 1.7× 140 1.1× 29 0.8× 33 683
Scott Stouffer United States 15 594 1.2× 407 1.1× 255 1.8× 80 0.6× 47 1.2× 63 683
Teresa Leung Canada 7 353 0.7× 256 0.7× 73 0.5× 113 0.9× 67 1.8× 11 381
Émilien Varea France 12 584 1.2× 489 1.3× 238 1.6× 118 0.9× 113 3.0× 27 673
Christian Eigenbrod Germany 12 407 0.8× 290 0.8× 295 2.0× 147 1.1× 117 3.1× 51 576
Ponnuthurai Gokulakrishnan United States 14 422 0.9× 375 1.0× 160 1.1× 49 0.4× 63 1.7× 38 518
Amy Lynch United States 12 396 0.8× 255 0.7× 133 0.9× 94 0.7× 37 1.0× 33 506
Mohy S. Mansour Egypt 11 516 1.1× 403 1.1× 77 0.5× 202 1.6× 24 0.6× 19 561
Sébastien Rouvreau France 11 264 0.5× 133 0.4× 188 1.3× 214 1.6× 39 1.0× 14 464

Countries citing papers authored by Masayasu Shimura

Since Specialization
Citations

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

Fields of papers citing papers by Masayasu Shimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masayasu Shimura

This figure shows the co-authorship network connecting the top 25 collaborators of Masayasu Shimura. A scholar is included among the top collaborators of Masayasu Shimura 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 Masayasu Shimura. Masayasu Shimura 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.
Tsujimura, Taku, Masayasu Shimura, Yong Fan, et al.. (2025). Thermodynamic and preliminary techno-economic analysis of NH3 utilization in combined cycle power plant: Comparison of direct liquid, vaporized, and cracked NH3-Based combustion methods. International Journal of Hydrogen Energy. 173. 151337–151337.
2.
Shimura, Masayasu, Osamu Kurata, Ekenechukwu C. Okafor, et al.. (2024). Combustion and Emission Characteristics of an Ammonia Microgas Turbine Combustor With a Twin-Fluid Atomizer. Journal of Engineering for Gas Turbines and Power. 146(11).
3.
Okafor, Ekenechukwu C., Osamu Kurata, Hirofumi Yamashita, et al.. (2024). Achieving high flame stability with low NO And Zero N2O and NH3 emissions during liquid ammonia spray combustion with gas turbine combustors. Proceedings of the Combustion Institute. 40(1-4). 105340–105340. 7 indexed citations
5.
Huang, Sibo, et al.. (2024). Assessment of OH femtosecond thermally assisted fluorescence thermometry for hydrogen non-premixed flames. Applied Thermal Engineering. 258. 124517–124517.
6.
Huang, Sibo, Masayasu Shimura, & Mamoru Tanahashi. (2024). Development of thermally assisted OH PLIF temperature measurement method based on a single femtosecond laser. Applied Physics B. 130(4). 1 indexed citations
8.
Shimura, Masayasu, et al.. (2018). INVESTIGATION ON FLAME DEVELOPMENTS IN A SI ENGINE WITH TUMBLE FLOW USING OH PLIF. International Heat Transfer Conference 16. 1659–1664. 1 indexed citations
9.
Tanahashi, Mamoru, Masayasu Shimura, & Yuki Minamoto. (2017). Progress in DNS and Laser Diagnostics of Turbulence and Turbulent Combustion. IEEE Transactions on Software Engineering. 25(3). 27–43. 1 indexed citations
10.
Naka, Yoshifumi, et al.. (2016). Effect of Flow Structures on Turbulence Statistics of Taylor-Couette Flow in the Torque Transition State. Flow Turbulence and Combustion. 97(4). 973–986. 2 indexed citations
11.
12.
Fukushima, Naoya, et al.. (2014). Turbulence–flame interaction and fractal characteristics of H2–air premixed flame under pressure rising condition. Proceedings of the Combustion Institute. 35(2). 1277–1285. 28 indexed citations
13.
Fukushima, Naoya, et al.. (2014). Direct numerical simulation of micro combustion in a narrow circular channel with a detailed kinetic mechanism. Proceedings of the Combustion Institute. 35(3). 3421–3427. 50 indexed citations
14.
Shimura, Masayasu, et al.. (2014). Investigation on rapid consumption of fine scale unburned mixture islands in turbulent flame via 10 kHz simultaneous CH–OH PLIF and SPIV. Proceedings of the Combustion Institute. 35(3). 3663–3671. 24 indexed citations
15.
Shimura, Masayasu, Shinichi Ogawa, Naoya Fukushima, et al.. (2014). Short- and long-term dynamic modes of turbulent swirling premixed flame in a cuboid combustor. Proceedings of the Combustion Institute. 35(3). 3209–3217. 10 indexed citations
16.
Fukumoto, Hiroaki, et al.. (2011). DNS Investigation on Autoignition and Flame Propagation in HCCI Combustion. Journal of Fluid Science and Technology. 6(1). 45–55. 2 indexed citations
17.
Fukushima, Naoya, et al.. (2011). DYNAMICS OF LARGE- AND SMALL-SCALE VORTICAL STRUCTURES IN TURBULENT TAYLOR-COUETTE FLOW. 1–6. 3 indexed citations
18.
Shimura, Masayasu, Takashi UEDA, Gyungmin Choi, Mamoru Tanahashi, & Toshio Miyauchi. (2010). Simultaneous dual-plane CH PLIF, single-plane OH PLIF and dual-plane stereoscopic PIV measurements in methane-air turbulent premixed flames. Proceedings of the Combustion Institute. 33(1). 775–782. 36 indexed citations
19.
Tanahashi, Mamoru, et al.. (2008). CH double-pulsed PLIF measurement in turbulent premixed flame. Experiments in Fluids. 45(2). 323–332. 20 indexed citations
20.
Tanahashi, Mamoru, et al.. (2008). Reconstructed 3D flame structures in noise-controlled swirl-stabilized combustor. Experiments in Fluids. 45(3). 447–460. 13 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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