Hirofumi Notsu

408 total citations
32 papers, 255 citations indexed

About

Hirofumi Notsu is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Numerical Analysis. According to data from OpenAlex, Hirofumi Notsu has authored 32 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computational Mechanics, 9 papers in Computational Theory and Mathematics and 8 papers in Numerical Analysis. Recurrent topics in Hirofumi Notsu's work include Advanced Numerical Methods in Computational Mathematics (17 papers), Computational Fluid Dynamics and Aerodynamics (10 papers) and Advanced Mathematical Modeling in Engineering (8 papers). Hirofumi Notsu is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (17 papers), Computational Fluid Dynamics and Aerodynamics (10 papers) and Advanced Mathematical Modeling in Engineering (8 papers). Hirofumi Notsu collaborates with scholars based in Japan, Germany and China. Hirofumi Notsu's co-authors include Masahisa Tabata, Masato Kimura, Kohei Nakajima, Hiroshi Kanayama, Mária Lukáčová–Medvid’ová, Qing Yao, Masao Ogino, Tomohiro Taniguchi, Reza Miresmaeili and Jean-Marc Olivé and has published in prestigious journals such as SHILAP Revista de lepidopterología, New Journal of Physics and Physical review. B..

In The Last Decade

Hirofumi Notsu

30 papers receiving 249 citations

Peers

Hirofumi Notsu

FFTP

CTM

Muhammad Kamran Pakistan

Fredrik Bengzon Sweden

László E. Szabó Hungary

Youssef Belhamadia Canada

Giovanni Cimatti Italy

Ana L. Silvestre Portugal

B. Chanane Saudi Arabia

M. B. Friedman United States

F. Nataf France

H. A. Hassan Egypt

Muhammad Kamran Pakistan

Hirofumi Notsu

145 ×0.9

83 ×1.6

FFTP

61 ×1.3

40 ×0.9

CTM

287 ×6.8

Citations per year, relative to Hirofumi Notsu Hirofumi Notsu (= 1×) peers Muhammad Kamran

Countries citing papers authored by Hirofumi Notsu

Since Specialization

Citations

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

Fields of papers citing papers by Hirofumi Notsu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hirofumi Notsu

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

All Works

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20 of 20 papers shown

Afraites, Lekbir, et al.. (2025). Detecting an Immersed Obstacle in Stokes Fluid Flow Using the Coupled Complex Boundary Method. SIAM Journal on Control and Optimization. 63(2). 822–851. 1 indexed citations

Kimura, Masato, et al.. (2024). An energy estimate and a stabilized Lagrange–Galerkin scheme for a multiphase flow model. Applied Mathematics Letters. 153. 109059–109059. 2 indexed citations

Kimura, Masato, et al.. (2023). A Two-Step Lagrange–Galerkin Scheme for the Shallow Water Equations with a Transmission Boundary Condition and Its Application to the Bay of Bengal Region—Part I: Flat Bottom Topography. Mathematics. 11(7). 1633–1633. 1 indexed citations

Notsu, Hirofumi, et al.. (2023). Numerical Solution to a Free Boundary Problem for the Stokes Equation Using the Coupled Complex Boundary Method in Shape Optimization Setting. Applied Mathematics & Optimization. 89(1). 2 indexed citations

Notsu, Hirofumi, et al.. (2022). A shape optimization problem constrained with the Stokes equations to address maximization of vortices. Evolution equations and control theory. 11(6). 1873–1873. 3 indexed citations

Notsu, Hirofumi, et al.. (2022). A Mass-Preserving Two-Step Lagrange–Galerkin Scheme for Convection-Diffusion Problems. Journal of Scientific Computing. 92(2). 5 indexed citations

Notsu, Hirofumi, et al.. (2019). FLUIDIZATION OF A BED OF SOLID PARTICLES IN A TWO DIMENSIONAL VERTICAL BOX. SHILAP Revista de lepidopterología. 4(2). 73–80. 2 indexed citations

Taniguchi, Tomohiro, et al.. (2019). Chaos in nanomagnet via feedback current. Physical review. B.. 100(17). 20 indexed citations

Lukáčová–Medvid’ová, Mária, et al.. (2017). Numerical analysis of the Oseen-type Peterlin viscoelastic model by the stabilized Lagrange–Galerkin method. Part II: A linear scheme. ESAIM Mathematical Modelling and Numerical Analysis. 51(5). 1663–1689. 15 indexed citations

10.

Meurs, Patrick, Masato Kimura, & Hirofumi Notsu. (2017). Mathematical Analysis of Continuum Mechanics and Industrial Applications II. 1 indexed citations

11.

Notsu, Hirofumi, et al.. (2015). Energy dissipative characteristic schemes for the diffusive Oldroyd‐B viscoelastic fluid. International Journal for Numerical Methods in Fluids. 81(9). 523–557. 16 indexed citations

12.

Notsu, Hirofumi & Masato Kimura. (2014). Symmetry and positive definiteness of the tensor-valued spring constant derived from P1-FEM for the equations of linear elasticity. Networks and Heterogeneous Media. 9(4). 617–634.

13.

Ogino, Masao, et al.. (2013). Finite Element Analysis of High Frequency Electromagnetic Fields Using a Domain Decomposition Method Based on the COCR Method. Theoretical and applied mechanics Japan. 61. 173–181. 2 indexed citations

14.

Notsu, Hirofumi, Daishin Ueyama, & Masahiro Yamaguchi. (2012). A self-organized mesh generator using pattern formation in a reaction–diffusion system. Applied Mathematics Letters. 26(2). 201–206. 1 indexed citations

15.

Miresmaeili, Reza, Nicolas Saintier, Hirofumi Notsu, Jean-Marc Olivé, & Hiroshi Kanayama. (2010). One-Way Coupled Crystal Plasticity-Hydrogen Diffusion Simulation on Artificial Microstructure. 4(2). 105–120. 13 indexed citations

16.

Yao, Qing, et al.. (2010). Incomplete Balancing Domain Decomposition for Large scale 3-D non-stationary incompressible flow problems. IOP Conference Series Materials Science and Engineering. 10. 12029–12029. 6 indexed citations

17.

Yao, Qing, Hiroshi Kanayama, Hirofumi Notsu, & Masao Ogino. (2010). Balancing Domain Decomposition for Non-stationary Incompressible Flow Problems Using a Characteristic-curve Method. 4(2). 121–135. 14 indexed citations

18.

Notsu, Hirofumi, et al.. (2008). A combined finite element scheme with a pressure stabilization and a characteristic-curve method for the Navier-Stokes equations(Theory,Scientific Computation and Numerical Analysis, Joint Symposium of JSIAM Activity Groups 2008). Medical Entomology and Zoology. 18(3). 427–445. 5 indexed citations

19.

Notsu, Hirofumi & Masahisa Tabata. (2008). A Single-Step Characteristic-Curve Finite Element Scheme of Second Order in Time for the Incompressible Navier-Stokes Equations. Journal of Scientific Computing. 38(1). 1–14. 21 indexed citations

20.

Kimura, Masato & Hirofumi Notsu. (2002). A level set method using the signed distance function. Japan Journal of Industrial and Applied Mathematics. 19(3). 415–446. 7 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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