Masayuki Fujihara

898 total citations
94 papers, 635 citations indexed

About

Masayuki Fujihara is a scholar working on Computational Mechanics, Civil and Structural Engineering and Water Science and Technology. According to data from OpenAlex, Masayuki Fujihara has authored 94 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computational Mechanics, 19 papers in Civil and Structural Engineering and 17 papers in Water Science and Technology. Recurrent topics in Masayuki Fujihara's work include Computational Fluid Dynamics and Aerodynamics (15 papers), Advanced Numerical Methods in Computational Mathematics (10 papers) and Hydrology and Watershed Management Studies (10 papers). Masayuki Fujihara is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (15 papers), Advanced Numerical Methods in Computational Mathematics (10 papers) and Hydrology and Watershed Management Studies (10 papers). Masayuki Fujihara collaborates with scholars based in Japan, United Kingdom and Jordan. Masayuki Fujihara's co-authors include Koichi Unami, Alistair G.L. Borthwick, Hidekazu Yoshioka, Benedict D. Rogers, Junichiro Takeuchi, C. Dale Becker, John A. Strand, Takashi Ishiwata, Osama Mohawesh and Hisashi Fujiwara and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Journal of Cleaner Production.

In The Last Decade

Masayuki Fujihara

82 papers receiving 585 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masayuki Fujihara Japan 15 147 143 100 81 78 94 635
Daisuke Kitazawa Japan 13 203 1.4× 45 0.3× 84 0.8× 116 1.4× 132 1.7× 89 724
Rong Wan China 22 617 4.2× 142 1.0× 81 0.8× 53 0.7× 396 5.1× 149 1.5k
Arne Fredheim Norway 25 697 4.7× 234 1.6× 122 1.2× 85 1.0× 167 2.1× 47 1.7k
Pål Lader Norway 18 788 5.4× 245 1.7× 143 1.4× 87 1.1× 180 2.3× 44 1.4k
Øystein Patursson Faroe Islands 12 334 2.3× 67 0.5× 73 0.7× 38 0.5× 129 1.7× 19 603
Zhaoyang Jiang China 15 115 0.8× 48 0.3× 14 0.1× 21 0.3× 231 3.0× 68 693
Zsolt Volent Norway 12 159 1.1× 48 0.3× 43 0.4× 30 0.4× 90 1.2× 28 401
Pascal Klebert Norway 14 400 2.7× 66 0.5× 160 1.6× 76 0.9× 215 2.8× 21 784
John R. MacMillan United States 15 88 0.6× 29 0.2× 82 0.8× 250 3.1× 173 2.2× 30 1.2k
Fangqiang Wei China 19 507 3.4× 89 0.6× 42 0.4× 27 0.3× 317 4.1× 64 1.3k

Countries citing papers authored by Masayuki Fujihara

Since Specialization
Citations

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

Fields of papers citing papers by Masayuki Fujihara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masayuki Fujihara

This figure shows the co-authorship network connecting the top 25 collaborators of Masayuki Fujihara. A scholar is included among the top collaborators of Masayuki Fujihara 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 Masayuki Fujihara. Masayuki Fujihara 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.
Yoshioka, Hidekazu, et al.. (2019). Non-Local Fokker-Planck Equation of Imperfect Impulsive Interventions and its Effectively Super-Convergent Numerical Discretization. Communications in computer and information science. 1094. 79–91.
2.
Yoshioka, Hidekazu, et al.. (2017). An optimal management strategy for stochastic population dynamics of released Plecoglossus altivelis in rivers. Advances in Complex Systems. 8(2). 1750039–1750039. 12 indexed citations
3.
Yoshioka, Hidekazu, Koichi Unami, & Masayuki Fujihara. (2015). A Conforming Finite Element Scheme for Hamilton-Jacobi-Bellman Equations Defined on Connected Graphs. 20. 1 indexed citations
4.
Yoshioka, Hidekazu, Koichi Unami, & Masayuki Fujihara. (2015). A Regime-Switching Diffusion Process Model for Advection-Dispersion Phenomena in Open Channels with Aquatic Vegetation. Theoretical and applied mechanics Japan. 63. 117–126. 1 indexed citations
5.
Yoshioka, Hidekazu, Koichi Unami, & Masayuki Fujihara. (2014). Burgers type equation models on connected graphs and their application to open channel hydraulics (Mathematical Aspects and Applications of Nonlinear Wave Phenomena). Kyoto University Research Information Repository (Kyoto University). 1890. 160–171. 2 indexed citations
6.
Yoshioka, Hidekazu, Koichi Unami, & Masayuki Fujihara. (2014). A Simple Finite Volume Model for Dam Break Problems in Multiply Connected Open Channel Networks with General Cross-Sections. Theoretical and applied mechanics Japan. 62. 131–140. 1 indexed citations
7.
Yoshioka, Hidekazu, Koichi Unami, & Masayuki Fujihara. (2014). Burgers type equation models on connected graphs and their application to open channel hydraulics (非線形波動現象の数理と応用 : RIMS研究集会報告集). 数理解析研究所講究録. 160–171. 1 indexed citations
8.
Yoshioka, Hidekazu, et al.. (2013). A Conforming Finite Element Method for Non-conservative Advection-diffusion Equations on Connected Graphs. Journal of Japan Society of Civil Engineers Ser A2 (Applied Mechanics (AM)). 69(2). I_59–I_70. 4 indexed citations
9.
Fujihara, Masayuki, et al.. (2012). Inverse Modeling for Variably Saturated Water Flow Coupled with Heat Transport in Field Soil. 80(6). 471–478. 2 indexed citations
10.
Fujihara, Masayuki, et al.. (2012). SS LOADS FROM THE HIROMI RIVER TO THE SHIMANTO RIVER AND THE INFLUENCE OF PADDY AGRICULTURAL EVENTS. Journal of Japan Society of Civil Engineers Ser B1 (Hydraulic Engineering). 68(4). I_631–I_636. 1 indexed citations
11.
Fujihara, Masayuki, et al.. (2011). Hydraulic Structure and Material Transport in an Irrigation Channel with a Side-Cavity for Aquatic Habitat. 78(1). 17–22. 1 indexed citations
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15.
Takeuchi, Junichiro, et al.. (2009). An Inverse Method to Estimate Unsaturated Hydraulic Conductivity in Seepage Flow in Non-isothermal Soil. 77(6). 623–630. 3 indexed citations
16.
Fujihara, Masayuki, et al.. (2003). Numerical Investigations of Flow in Vertical Single-and Double-slot Fishways. 2003(223). 79–88. 4 indexed citations
17.
Ito, H., et al.. (2002). Channel Assignment Scheme for Integrated Voice and Data Traffic in Reservation-Type Packet Radio Networks. IEICE Transactions on Communications. 85(1). 191–198. 2 indexed citations
18.
Fujihara, Masayuki, et al.. (1997). Physical-biological Coupled Modelling for Artificially Generated Upwelling. 65(3). 399–409. 2 indexed citations
19.
Fujihara, Masayuki & Toshihiko Kawachi. (1995). An Adaptation of Diagnostic Numerical Model of Residual Current to Bungo Channel, Japan. 1995(180). 4 indexed citations
20.
Becker, C. Dale & Masayuki Fujihara. (1978). The bacterial pathogen Flexibacter columnaris and its epizootiology among Columbia River fish : a review and synthesis. 27 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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