Kohei Murotani

421 total citations
27 papers, 284 citations indexed

About

Kohei Murotani is a scholar working on Computational Mechanics, Civil and Structural Engineering and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Kohei Murotani has authored 27 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computational Mechanics, 6 papers in Civil and Structural Engineering and 6 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Kohei Murotani's work include Fluid Dynamics Simulations and Interactions (13 papers), Lattice Boltzmann Simulation Studies (8 papers) and Fluid Dynamics and Heat Transfer (6 papers). Kohei Murotani is often cited by papers focused on Fluid Dynamics Simulations and Interactions (13 papers), Lattice Boltzmann Simulation Studies (8 papers) and Fluid Dynamics and Heat Transfer (6 papers). Kohei Murotani collaborates with scholars based in Japan, China and South Korea. Kohei Murotani's co-authors include Seiichi Koshizuka, Kazuya Shibata, Masahiro Kondo, Shinobu Yoshimura, Tomonori Yamada, Tiangang Zhang, Genki YAGAWA, Jae Boong Choi, Takuya Matsunaga and Satoshi Tanaka and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, International Journal for Numerical Methods in Engineering and IEEE Transactions on Magnetics.

In The Last Decade

Kohei Murotani

23 papers receiving 276 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kohei Murotani Japan 10 232 87 57 18 16 27 284
Martin Lastiwka Ireland 7 563 2.4× 155 1.8× 76 1.3× 13 0.7× 40 2.5× 10 599
Kamil Szewc Poland 10 363 1.6× 46 0.5× 24 0.4× 31 1.7× 21 1.3× 19 405
Mihai Basa Ireland 5 560 2.4× 155 1.8× 73 1.3× 7 0.4× 30 1.9× 7 576
Zeqing Guo China 10 243 1.0× 34 0.4× 18 0.3× 30 1.7× 95 5.9× 35 311
T. C. Carney United States 6 583 2.5× 275 3.2× 157 2.8× 11 0.6× 23 1.4× 8 628
Alan Tassin France 10 351 1.5× 30 0.3× 37 0.6× 49 2.7× 162 10.1× 20 374
G. M. Zhang United States 6 387 1.7× 360 4.1× 169 3.0× 19 1.1× 15 0.9× 7 520
Guohua Zhou China 7 75 0.3× 144 1.7× 69 1.2× 18 1.0× 3 0.2× 17 187
Zhengyi Wang China 9 55 0.2× 103 1.2× 30 0.5× 61 3.4× 30 1.9× 22 233
C. T. Dyka United States 8 372 1.6× 309 3.6× 213 3.7× 27 1.5× 14 0.9× 18 475

Countries citing papers authored by Kohei Murotani

Since Specialization
Citations

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

Fields of papers citing papers by Kohei Murotani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kohei Murotani

This figure shows the co-authorship network connecting the top 25 collaborators of Kohei Murotani. A scholar is included among the top collaborators of Kohei Murotani 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 Kohei Murotani. Kohei Murotani 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.
Murotani, Kohei, et al.. (2023). <b>Measures Against Snow Accretion Around Shinkansen Bogies Using Running Wind</b>. Quarterly Report of RTRI. 64(2). 129–134.
2.
Murotani, Kohei, et al.. (2022). NUMERICAL MODEL OF LOCAL SCOUR AROUND PIER BASED ON THE 3D ANALYSIS OF SEDIMENT PARTICLE MOTION. Journal of Japan Society of Civil Engineers Ser B1 (Hydraulic Engineering). 78(2). I_1201–I_1206.
3.
Murotani, Kohei, et al.. (2021). Development of snow accretion simulator for railway vehicles (Part 2). Journal of the Japanese Society of Snow and Ice. 83(5). 465–487. 1 indexed citations
4.
Kamata, Yasushi, et al.. (2021). Development of snow accretion simulator for railway vehicles (Part 1). Journal of the Japanese Society of Snow and Ice. 83(1). 79–95. 1 indexed citations
5.
ABE, Keita, Kohei Murotani, & Kenji Watanabe. (2020). DEVELOPMENT OF MPM-MPS COUPLING METHOD AND NUMERICAL ANALYSIS OF SCOURING OF EMBANKMENT CAUSED BY OVERFLOW. Journal of Japan Society of Civil Engineers Ser A2 (Applied Mechanics (AM)). 76(2). I_205–I_216. 2 indexed citations
6.
Murotani, Kohei. (2019). <b>Large Scale Numerical Simulation Reproducing of Tsunami Behavior against a Station Building</b>. Quarterly Report of RTRI. 60(1). 58–64.
7.
Zhang, Tiangang, et al.. (2017). Improvement of pressure distribution to arbitrary geometry with boundary condition represented by polygons in particle method. International Journal for Numerical Methods in Engineering. 112(7). 685–710. 10 indexed citations
8.
Zhang, Tiangang, et al.. (2016). Improvement of boundary conditions for non-planar boundaries represented by polygons with an initial particle arrangement technique. International journal of computational fluid dynamics. 30(2). 155–175. 11 indexed citations
9.
Shibata, Kazuya, et al.. (2015). Improved pressure calculation for the moving particle semi-implicit method. Computational Particle Mechanics. 2(1). 91–108. 83 indexed citations
10.
Murotani, Kohei, et al.. (2015). Performance improvements of differential operators code for MPS method on GPU. Computational Particle Mechanics. 2(3). 261–272. 16 indexed citations
11.
Yoshimura, Shinobu, et al.. (2015). Explicitly represented polygon wall boundary model for the explicit MPS method. Computational Particle Mechanics. 2(1). 73–89. 34 indexed citations
12.
Matsunaga, Takuya, Kazuya Shibata, Kohei Murotani, & Seiichi Koshizuka. (2015). Hybrid grid-particle method for fluid mixing simulation. Computational Particle Mechanics. 2(3). 233–246. 12 indexed citations
13.
Murotani, Kohei, et al.. (2015). High-Accuracy Electromagnetic Field Simulation Using Numerical Human Body Models. IEEE Transactions on Magnetics. 52(3). 1–4. 7 indexed citations
14.
Shibata, Kazuya, et al.. (2015). Boundary Conditions for Simulating Karman Vortices Using the MPS Method. 2(2). 235–254. 11 indexed citations
15.
Wada, Yoshitaka, Hiroshi Kawai, Masao Ogino, Kohei Murotani, & Ryuji Shioya. (2014). Development of high resolution visualization library for very large scale analysis. 대한기계학회 춘추학술대회. 15–16. 2 indexed citations
16.
Murotani, Kohei, Seiichi Koshizuka, T. Tamai, et al.. (2014). Development of Hierarchical Domain Decomposition Explicit MPS Method and Application to Large-scale Tsunami Analysis with Floating Objects. 1(1). 16–35. 42 indexed citations
17.
Murotani, Kohei, et al.. (2013). HIERARCHICAL DOMAIN DECOMPOSITION WITH PARALLEL MESH REFINEMENT FOR BILLIONS-OF-DOF SCALE FINITE ELEMENT ANALYSES. International Journal of Computational Methods. 11(4). 1350061–1350061. 6 indexed citations
18.
Murotani, Kohei, Genki YAGAWA, & Jae Boong Choi. (2012). Adaptive finite elements using hierarchical mesh and its application to crack propagation analysis. Computer Methods in Applied Mechanics and Engineering. 253. 1–14. 17 indexed citations
19.
Murotani, Kohei & Kōkichi Sugihara. (2005). New Spectral Decomposition Method for Three-Dimensional Shape Models and Its Applications. Journal of Computing and Information Science in Engineering. 5(4). 277–282. 5 indexed citations
20.
Murotani, Kohei & Kōkichi Sugihara. (2003). GLOBALLY SMOOTH INTERPOLATION USING GREGORY PATCHES OVER IRREGULAR MESHES. 9(1). 21–39. 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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