Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Contribution of Reynolds stress distribution to the skin friction in wall-bounded flows
2002492 citationsKoji Fukagata, Nobuhide Kasagi et al.profile →
Direct Numerical Simulation of Passive Scalar Field in a Turbulent Channel Flow
Countries citing papers authored by Nobuhide Kasagi
Since
Specialization
Citations
This map shows the geographic impact of Nobuhide Kasagi'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 Nobuhide Kasagi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nobuhide Kasagi more than expected).
This network shows the impact of papers produced by Nobuhide Kasagi. 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 Nobuhide Kasagi. The network helps show where Nobuhide Kasagi may publish in the future.
Co-authorship network of co-authors of Nobuhide Kasagi
This figure shows the co-authorship network connecting the top 25 collaborators of Nobuhide Kasagi.
A scholar is included among the top collaborators of Nobuhide Kasagi 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 Nobuhide Kasagi. Nobuhide Kasagi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Morimoto, Kenichi, Yuji Suzuki, & Nobuhide Kasagi. (2005). Adjoint Analysis of Heat and Fluid Flow Toward Optimal Shape Design of Recuperators. Nihon dennetsu gakkai ronbunshu/Thermal science and engineering. 13(4). 3–4.2 indexed citations
3.
Suzuki, Yuji, et al.. (2004). Micro Seismic Power Generator Using Electret Polymer Film. Doryoku, Enerugi Gijutsu Shinpojiumu koen ronbunshu/Doryoku, enerugi gijutsu no saizensen koen ronbunshu. 2004.9(0). 37–38.60 indexed citations
4.
Morimoto, Kenichi, Yuji Suzuki, & Nobuhide Kasagi. (2004). Mechanism of Heat Transfer Enhancement in Recuperators with Oblique Wavy Walls. Nihon dennetsu gakkai ronbunshu/Thermal science and engineering. 12(4). 99–100.1 indexed citations
5.
Hasegawa, Yosuke, et al.. (2003). TED-AJ03-231 LARGE EDDY SIMULATION OF MASS TRANSFER ACROSS AN AIR-WATER INTERFACE AT HIGH SCHMIDT NUMBERS. 2003(6). 212.1 indexed citations
6.
Fukushima, Naoya, et al.. (2003). TED-AJ03-582 NUMERICAL AND EXPERIMENTAL STUDY ON TURBULENT THERMAL MIXING IN A T-JUNCTION FLOW. 2003(6). 249.3 indexed citations
Suzuki, Yuji, et al.. (2000). F303 SYNTHESIZED MIXING PROCESS IN AN ACTIVELY-CONTROLLED CONFINED COAXIAL JET(Control of turbulent mixing process) :. 3.1 indexed citations
12.
Kasagi, Nobuhide, et al.. (1997). Modelling the Constitutive Relations for the Reynolds Stress. 16. 307–308.2 indexed citations
13.
Kasagi, Nobuhide, et al.. (1996). DIRECT NUMERICAL SIMULATION OF COMBINED FORCED AND NATURAL TURBULENT CONVECTION IN A ROTATING PLANE CHANNEL. 77–82.17 indexed citations
14.
Kasagi, Nobuhide, et al.. (1989). Full-coverage film cooling on curved walls, part 3, cooling effectiveness on concave and convex walls. Heat Transfer. 18(2). 28–42.1 indexed citations
Kasagi, Nobuhide, et al.. (1979). Characteristic behaviour of turbulence and transport phenomena at the stagnation region of an axi-symmetrical impinging jet.17 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.