Yasuya Nakayama

1.0k total citations
45 papers, 789 citations indexed

About

Yasuya Nakayama is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Materials Chemistry. According to data from OpenAlex, Yasuya Nakayama has authored 45 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Fluid Flow and Transfer Processes, 19 papers in Computational Mechanics and 15 papers in Materials Chemistry. Recurrent topics in Yasuya Nakayama's work include Rheology and Fluid Dynamics Studies (21 papers), Material Dynamics and Properties (14 papers) and Electrostatics and Colloid Interactions (11 papers). Yasuya Nakayama is often cited by papers focused on Rheology and Fluid Dynamics Studies (21 papers), Material Dynamics and Properties (14 papers) and Electrostatics and Colloid Interactions (11 papers). Yasuya Nakayama collaborates with scholars based in Japan, Greece and Tunisia. Yasuya Nakayama's co-authors include Ryōichi Yamamoto, Kang Kim, Toshihisa Kajiwara, John J. Molina, Takuya Iwashita, Hirokazu Fujisaka, Takeshi Watanabe, Kôichi Kimura, David R. Reichman and Yuki Matsuoka and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Journal of Fluid Mechanics.

In The Last Decade

Yasuya Nakayama

38 papers receiving 770 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yasuya Nakayama Japan 14 376 248 196 150 147 45 789
Asimina Sierou United States 5 501 1.3× 144 0.6× 360 1.8× 300 2.0× 72 0.5× 5 805
Francisco Ricardo Cunha Brazil 19 458 1.2× 617 2.5× 226 1.2× 159 1.1× 72 0.5× 80 1.1k
F. Feuillebois France 14 484 1.3× 273 1.1× 97 0.5× 96 0.6× 30 0.2× 63 777
Nazish Hoda United States 16 121 0.3× 126 0.5× 129 0.7× 184 1.2× 14 0.1× 24 599
Aditya Bandopadhyay India 27 443 1.2× 1.4k 5.8× 105 0.5× 153 1.0× 46 0.3× 88 1.8k
J. Rafael Pacheco United States 12 295 0.8× 353 1.4× 96 0.5× 107 0.7× 11 0.1× 26 699
Peter Ehrhard Germany 14 495 1.3× 276 1.1× 82 0.4× 39 0.3× 24 0.2× 58 836
Fritz H. Bark Sweden 15 282 0.8× 127 0.5× 66 0.3× 56 0.4× 16 0.1× 52 592
Z. Dagan United States 13 308 0.8× 240 1.0× 77 0.4× 59 0.4× 17 0.1× 20 550
W.S. Jodrey Canada 9 228 0.6× 130 0.5× 318 1.6× 33 0.2× 110 0.7× 9 683

Countries citing papers authored by Yasuya Nakayama

Since Specialization
Citations

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

Fields of papers citing papers by Yasuya Nakayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasuya Nakayama

This figure shows the co-authorship network connecting the top 25 collaborators of Yasuya Nakayama. A scholar is included among the top collaborators of Yasuya Nakayama 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 Yasuya Nakayama. Yasuya Nakayama 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.
Nakayama, Yasuya. (2025). Brownian Motion and Microrheology in Complex Fluids under Periodic Boundary Conditions. Seikei-Kakou. 37(7). 294–301.
2.
Kajiwara, Toshihisa, et al.. (2025). Prediction of parison formation using process data in extrusion blow molding. Manufacturing Review. 12. 2–2.
3.
Nakayama, Yasuya. (2023). Nonlinear dielectric decrement of electrolyte solutions: An effective medium approach. Journal of Colloid and Interface Science. 646. 354–360. 5 indexed citations
4.
Jung, Gerhard, et al.. (2023). Direct numerical simulations of a microswimmer in a viscoelastic fluid. Soft Matter. 19(37). 7109–7121. 3 indexed citations
5.
Nakayama, Yasuya & Toshihisa Kajiwara. (2021). Flow Classification and Its Application to Fluid Processing. SHILAP Revista de lepidopterología. 333. 2001–2001.
6.
Nakayama, Yasuya, et al.. (2019). Mixing characteristics of different kneading elements: An experimental study. AIP conference proceedings. 2139. 20005–20005. 1 indexed citations
7.
Nakayama, Yasuya, et al.. (2019). Characterization of melt-mixing in extrusion: Finite-time Lyapunov exponent and flow pattern structure. AIP conference proceedings. 2068. 30032–30032. 2 indexed citations
8.
Nakayama, Yasuya, et al.. (2016). Strain mode of general flow: Characterization and implications for flow pattern structures. AIChE Journal. 62(7). 2563–2569. 20 indexed citations
9.
10.
Kajiwara, Toshihisa & Yasuya Nakayama. (2011). Melt Mixing ： Basic Theory and Current Status. Seikei-Kakou. 23(2). 72–77.
11.
Kajiwara, Toshihisa & Yasuya Nakayama. (2011). Capturing the Efficiency of a Melt-Mixing Process for Polymer Processing. JOURNAL OF CHEMICAL ENGINEERING OF JAPAN. 44(11). 831–839. 6 indexed citations
12.
Nakayama, Yasuya, et al.. (2010). Melt-mixing by novel pitched-tip kneading disks in a co-rotating twin-screw extruder. Chemical Engineering Science. 66(1). 103–110. 38 indexed citations
13.
Yamamoto, Ryōichi, Yasuya Nakayama, & Kang Kim. (2009). SMOOTHED PROFILE METHOD TO SIMULATE COLLOIDAL PARTICLES IN COMPLEX FLUIDS. International Journal of Modern Physics C. 20(9). 1457–1465. 12 indexed citations
14.
Iwashita, Takuya, Yasuya Nakayama, & Ryōichi Yamamoto. (2009). Velocity Autocorrelation Function of Fluctuating Particles in Incompressible Fluids. Progress of Theoretical Physics Supplement. 178. 86–91. 9 indexed citations
15.
Iwashita, Takuya, Yasuya Nakayama, & Ryōichi Yamamoto. (2008). A Numerical Model for Brownian Particles Fluctuating in Incompressible Fluids. Journal of the Physical Society of Japan. 77(7). 74007–74007. 44 indexed citations
16.
Kim, Kang, Yasuya Nakayama, & Ryōichi Yamamoto. (2006). Direct Numerical Simulations of Electrophoresis. arXiv (Cornell University). 2 indexed citations
17.
Nakayama, Yasuya & Ryōichi Yamamoto. (2005). Simulation method to resolve hydrodynamic interactions in colloidal dispersions. Physical Review E. 71(3). 36707–36707. 216 indexed citations
18.
Fujisaka, Hirokazu & Yasuya Nakayama. (2003). Intermittency and exponent field dynamics in developed turbulence. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 67(2). 26305–26305. 2 indexed citations
19.
Fujisaka, Hirokazu, Yasuya Nakayama, Takeshi Watanabe, & Siegfried Großmann. (2002). Scaling hypothesis leading to generalized extended self-similarity in turbulence. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 65(4). 46307–46307. 6 indexed citations
20.
Yamaoka, H., et al.. (1996). Neutron activation analysis of inorganic fillers for polymer composites. Radiation Physics and Chemistry. 48(2). 243–247. 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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