Ayumu SATO

481 total citations
23 papers, 389 citations indexed

About

Ayumu SATO is a scholar working on Environmental Engineering, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, Ayumu SATO has authored 23 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Environmental Engineering, 8 papers in Computational Mechanics and 7 papers in Aerospace Engineering. Recurrent topics in Ayumu SATO's work include Wind and Air Flow Studies (21 papers), Fluid Dynamics and Turbulent Flows (7 papers) and Aerodynamics and Fluid Dynamics Research (7 papers). Ayumu SATO is often cited by papers focused on Wind and Air Flow Studies (21 papers), Fluid Dynamics and Turbulent Flows (7 papers) and Aerodynamics and Fluid Dynamics Research (7 papers). Ayumu SATO collaborates with scholars based in Japan, United States and United Kingdom. Ayumu SATO's co-authors include Takenobu Michioka, Hiroshi Takimoto, Manabu Kanda, Atsushi Inagaki, Hiroki Ono, Ryo MORIWAKI, Janet F. Barlow, Shiho Onomura, Takao Kanzaki and Toshio Koizumi and has published in prestigious journals such as Journal of Polymer Science Part A Polymer Chemistry, Boundary-Layer Meteorology and Journal of Wind Engineering and Industrial Aerodynamics.

In The Last Decade

Ayumu SATO

19 papers receiving 376 citations

Peers

Ayumu SATO
Ayumu SATO
Citations per year, relative to Ayumu SATO Ayumu SATO (= 1×) peers Takenobu Michioka

Countries citing papers authored by Ayumu SATO

Since Specialization
Citations

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

Fields of papers citing papers by Ayumu SATO

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayumu SATO

This figure shows the co-authorship network connecting the top 25 collaborators of Ayumu SATO. A scholar is included among the top collaborators of Ayumu SATO 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 Ayumu SATO. Ayumu SATO 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
2.
Koizumi, Toshio, et al.. (2019). Facile synthesis of ortho‐Phenylene‐based conjugated polymers through transformation of cross‐conjugated poly(2,3‐diaryl[2]dendralene)s and their optical properties. Journal of Polymer Science Part A Polymer Chemistry. 57(7). 827–832. 5 indexed citations
3.
Michioka, Takenobu, Hiroshi Takimoto, Hiroki Ono, & Ayumu SATO. (2017). Reynolds-Number Dependence of Gas Dispersion Over a Wavy Wall. Boundary-Layer Meteorology. 164(3). 401–418. 6 indexed citations
4.
Michioka, Takenobu, Hiroshi Takimoto, Hiroki Ono, & Ayumu SATO. (2016). Effect of Fetch on a Mechanism for Pollutant Removal from a Two-Dimensional Street Canyon. Boundary-Layer Meteorology. 160(1). 185–199. 9 indexed citations
5.
Ono, Hiroki, Hiroshi Takimoto, Takenobu Michioka, & Ayumu SATO. (2015). CONVECTION TERM DISCRETIZATION FOR LARGE EDDY SIMULATIONS BASED ON THE FINITE VOLUME METHOD. Journal of Environmental Engineering (Transactions of AIJ). 80(718). 1143–1151. 9 indexed citations
6.
Ono, Hiroki, Hiroshi Takimoto, Takenobu Michioka, & Ayumu SATO. (2015). CONVECTION TERM DISCRETIZATION FOR LARGE EDDY SIMULATIONS BASED ON THE FINITE VOLUME METHOD:Effect of thermal stratification on the dispersion characteristics of rooftop exhaust, Part 2. Journal of Environmental Engineering. 80(718). 1143–1151.
7.
Takimoto, Hiroshi, et al.. (2015). A Wind-tunnel Study of Atmospheric Dispersion of Cooling-tower Exhaust over a Simple Hill: Influences of Plume Rise and Surface Roughness of the Terrain. 50(5). 226–232.
8.
Michioka, Takenobu, Hiroshi Takimoto, & Ayumu SATO. (2013). Large-Eddy Simulation of Pollutant Removal from a Three-Dimensional Street Canyon. Boundary-Layer Meteorology. 150(2). 259–275. 57 indexed citations
9.
SATO, Ayumu, et al.. (2012). COMPARISON BETWEEN WIND TUNNEL EXPERIMENTS AND FIELD MEASUREMENT VALUES ON FLOW FIELD IN REAL URBAN CANYONS. Journal of Environmental Engineering (Transactions of AIJ). 77(674). 313–319. 1 indexed citations
10.
Michioka, Takenobu & Ayumu SATO. (2012). Effect of Incoming Turbulent Structure on Pollutant Removal from Two-Dimensional Street Canyon. Boundary-Layer Meteorology. 145(3). 469–484. 40 indexed citations
11.
Michioka, Takenobu, et al.. (2011). Wind-Tunnel Experiments for Gas Dispersion in an Atmospheric Boundary Layer with Large-Scale Turbulent Motion. Boundary-Layer Meteorology. 141(1). 35–51. 13 indexed citations
12.
Takimoto, Hiroshi, Ayumu SATO, Janet F. Barlow, et al.. (2011). Particle Image Velocimetry Measurements of Turbulent Flow Within Outdoor and Indoor Urban Scale Models and Flushing Motions in Urban Canopy Layers. Boundary-Layer Meteorology. 140(2). 295–314. 60 indexed citations
13.
Michioka, Takenobu, Ayumu SATO, Hiroshi Takimoto, & Manabu Kanda. (2010). Large-Eddy Simulation for the Mechanism of Pollutant Removal from a Two-Dimensional Street Canyon. Boundary-Layer Meteorology. 138(2). 195–213. 92 indexed citations
14.
Michioka, Takenobu, et al.. (2009). Development of Prediction Method for a Visible Plume from a Mechanical Draft-Cooling Tower : 1st Report, Wind Tunnel Experiments to Predict a Visible Plume(Fluids Engineering). TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series B. 75(749). 93–100.
15.
Michioka, Takenobu, et al.. (2007). Wind tunnel experiment for predicting a visible plume region from a wet cooling tower. Journal of Wind Engineering and Industrial Aerodynamics. 95(8). 741–754. 20 indexed citations
16.
Michioka, Takenobu, et al.. (2003). Large-Eddy Simulation for the Tracer Gas Concentrration Fluctuation in Atomospheric Boundary Layer.. TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series B. 69(680). 868–875. 5 indexed citations
17.
SATO, Ayumu, et al.. (2002). A WIND TUNNEL EXPERIMENT ON TRACER GAS CONCENTRATION FLUCTUATION NEAR A CUBICAL MODEL BUILDING. Doboku Gakkai Ronbunshu. 2002(706). 41–49. 7 indexed citations
18.
SATO, Ayumu, et al.. (2000). Numerical Simulation of Tracer Gas Concentration Fluctuation in Atmospheric Boundary Layer. Numerical Calculation Method Based on LES.. TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series B. 66(651). 2800–2806. 3 indexed citations
19.
SATO, Ayumu, et al.. (1999). Wind Tunnel Experiment of Tracer Gas Concentration Fluctuation in Turbulent Boundary Layer Characteristics of Concentration Fluctuation with Low Concentration Threshold. Journal of Japan Society for Atmospheric Environment / Taiki Kankyo Gakkaishi. 34(5). 337–351. 5 indexed citations
20.
SATO, Ayumu, et al.. (1999). Wind Tunnel Experiment of Tracer Gas Concentration Fluctuation in Atmosphere. Similarity of Concentration Fluctuation in Plume from Elevated Source.. TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series B. 65(636). 2734–2742. 4 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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