M. Asai

3.8k total citations
162 papers, 1.8k citations indexed

About

M. Asai is a scholar working on Nuclear and High Energy Physics, Computational Mechanics and Radiation. According to data from OpenAlex, M. Asai has authored 162 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Nuclear and High Energy Physics, 58 papers in Computational Mechanics and 50 papers in Radiation. Recurrent topics in M. Asai's work include Nuclear physics research studies (61 papers), Fluid Dynamics Simulations and Interactions (49 papers) and Nuclear Physics and Applications (45 papers). M. Asai is often cited by papers focused on Nuclear physics research studies (61 papers), Fluid Dynamics Simulations and Interactions (49 papers) and Nuclear Physics and Applications (45 papers). M. Asai collaborates with scholars based in Japan, United States and Egypt. M. Asai's co-authors include Abdelraheem M. Aly, Yoshimi Sonoda, K. Tsukada, Kenjiro Terada, Y. Nagame, S. Ichikawa, T. Ishii, Hiromitsu Haba, M. Shibata and I. Nishinaka and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

M. Asai

138 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Asai Japan 22 735 722 304 275 252 162 1.8k
C. Grisolia France 28 576 0.8× 1.3k 1.8× 232 0.8× 890 3.2× 476 1.9× 204 3.8k
M. Rohde Germany 26 645 0.9× 1.4k 2.0× 234 0.8× 55 0.2× 206 0.8× 128 3.1k
M. Bolsterli United States 17 162 0.2× 813 1.1× 127 0.4× 83 0.3× 643 2.6× 63 1.6k
D. H. Dolan United States 18 98 0.1× 381 0.5× 48 0.2× 326 1.2× 326 1.3× 58 1.5k
P. Venugopala Rao United States 20 199 0.3× 483 0.7× 2.2k 7.4× 109 0.4× 561 2.2× 72 2.7k
F. Belloni Italy 17 174 0.2× 161 0.2× 52 0.2× 252 0.9× 132 0.5× 68 955
T.W. Morgan Netherlands 29 396 0.5× 922 1.3× 66 0.2× 599 2.2× 209 0.8× 166 2.8k
R. Sakamoto Japan 24 178 0.2× 1.5k 2.1× 163 0.5× 236 0.9× 169 0.7× 240 2.7k
R. L. Berger United States 36 445 0.6× 3.5k 4.9× 147 0.5× 2.1k 7.5× 2.5k 10.0× 149 5.1k
M. Baron France 18 69 0.1× 131 0.2× 104 0.3× 486 1.8× 252 1.0× 44 1.9k

Countries citing papers authored by M. Asai

Since Specialization
Citations

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

Fields of papers citing papers by M. Asai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Asai

This figure shows the co-authorship network connecting the top 25 collaborators of M. Asai. A scholar is included among the top collaborators of M. Asai 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 M. Asai. M. Asai 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.
Asai, M., et al.. (2025). A mixed total Lagrangian-updated Lagrangian Smoothed Particle Hydrodynamics method for geomechanics simulations with discontinuities. SOILS AND FOUNDATIONS. 65(2). 101593–101593. 2 indexed citations
2.
Asai, M., et al.. (2025). A two-point three-phase resolved coupling framework for modeling boulder-laden debris flows. Journal of Rock Mechanics and Geotechnical Engineering. 18(2). 932–953.
3.
Nakashima, Ryosuke, et al.. (2025). A generalized smoothed particle hydrodynamics method based on the moving least squares method and its discretization error estimation. Results in Applied Mathematics. 26. 100594–100594.
4.
5.
Chen, Shunhua, et al.. (2023). A nodal-based Lagrange multiplier/cohesive zone approach for three-dimensional dynamic crack simulations of quasi-brittle materials. Engineering Fracture Mechanics. 292. 109637–109637. 8 indexed citations
6.
Asai, M., et al.. (2023). EFFICIENCY IMPROVEMENT OF PINNS INVERSE ANALYSIS BY EXTRACTING SPATIAL FEATURES OF DATA. Japanese Journal of JSCE. 79(15). n/a–n/a.
7.
8.
Asai, M., et al.. (2023). Interface Capturing Wear Model for Wear Simulation of Bead Mills. Journal of the Society of Powder Technology Japan. 60(8). 470–480.
9.
Asai, M., et al.. (2023). Dynamic & norm-based weights to normalize imbalance in back-propagated gradients of physics-informed neural networks. Journal of Physics Communications. 7(7). 75005–75005. 11 indexed citations
10.
Asai, M., et al.. (2022). The Evaluation for Wet Grinding Performance of Beads Mill Using Impulse-Based DEM. Journal of the Society of Powder Technology Japan. 59(10). 488–497. 2 indexed citations
11.
Dupont, E., A. Astier, C. M. Petrache, et al.. (2020). New excited 2+ and 3− two-proton states in Po12684210 populated by two-proton transfer. Physical review. C. 101(1). 1 indexed citations
12.
Asai, M., et al.. (2020). DEVELOPMENT OF IMPULSE-BASED DEM WITH VARIABLE TEMPORAL RESOLUTION. Journal of Japan Society of Civil Engineers Ser A2 (Applied Mechanics (AM)). 76(2). I_119–I_129. 1 indexed citations
13.
Asai, M., et al.. (2019). SPH-DEM COUPLING SIMULATION WITH A LIQUID BRIDGE FORCE FOR THE REPRESENTATION OF GROUND COLLAPSE PHENOMENON. Journal of Japan Society of Civil Engineers Ser A2 (Applied Mechanics (AM)). 75(2). I_203–I_213.
14.
Asai, M., et al.. (2019). A VALIDATION FOR SOIL SCOURING SIMULATION BASED ON AN ISPH-DEM COUPLING METHOD. Journal of Japan Society of Civil Engineers Ser A2 (Applied Mechanics (AM)). 75(2). I_249–I_258.
15.
Asai, M., et al.. (2016). 3D TSUNAMI RUN-UP SIMULATION BY USING PARTICLE METHOD WITH GEOGRAPHY ANALYSIS MODEL INCLUDING BUILDING INFORMATION. Journal of Japan Society of Civil Engineers Ser A1 (Structural Engineering & Earthquake Engineering (SE/EE)). 72(4). I_367–I_377. 2 indexed citations
16.
Asai, M., et al.. (2014). A FLUID-RIGID BODY SIMULATION BY USING THE SPH METHOD AND ITS APPLICATION TO BRIGDE RUNOFF SIMULATION. Journal of Japan Society of Civil Engineers Ser A2 (Applied Mechanics (AM)). 70(2). I_329–I_338.
17.
Fujimoto, Keisuke, et al.. (2013). TSUNAMI RUN-UP SIMULATION BY ISPH METHOD WITH HIGH RESOLUTION GEOMETRICAL MODELING. Journal of Japan Society of Civil Engineers Ser A1 (Structural Engineering & Earthquake Engineering (SE/EE)). 69(4). I_622–I_629. 3 indexed citations
18.
Asai, M., et al.. (2010). CONSTITUTIVE MODELING FOR TEXTURE REINFORCED RUBBER BY USING AN ANISOTROPIC VISCO-HYPERELASTIC MODEL. Doboku Gakkai Ronbunshuu A. 66(2). 194–205. 8 indexed citations
19.
TAKANO, Naoki, et al.. (2008). Three-Dimensional Morphology Analysis and Finite Element Modeling of Nano Particle Dispersed Materials. Journal of the Society of Materials Science Japan. 57(5). 423–429. 3 indexed citations
20.
Asai, M., et al.. (2006). Image-Based Multi-Scale Analysis for Porous Piezoelectric Materials Based on the Homogenization Method. Journal of the Society of Materials Science Japan. 55(12). 1111–1116. 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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