Yukio Kaneda

4.4k total citations · 1 hit paper
123 papers, 3.1k citations indexed

About

Yukio Kaneda is a scholar working on Computational Mechanics, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Yukio Kaneda has authored 123 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Computational Mechanics, 30 papers in Atmospheric Science and 30 papers in Environmental Engineering. Recurrent topics in Yukio Kaneda's work include Fluid Dynamics and Turbulent Flows (77 papers), Wind and Air Flow Studies (30 papers) and Meteorological Phenomena and Simulations (28 papers). Yukio Kaneda is often cited by papers focused on Fluid Dynamics and Turbulent Flows (77 papers), Wind and Air Flow Studies (30 papers) and Meteorological Phenomena and Simulations (28 papers). Yukio Kaneda collaborates with scholars based in Japan, United Kingdom and United States. Yukio Kaneda's co-authors include Takashi Ishihara, Toshiyuki Gotoh, Mitsuo Yokokawa, Atsuya Uno, Ken-ichi Itakura, Kyo Yoshida, P. A. Davidson, Naoya Okamoto, J. C. R. Hunt and Kai Schneider and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Journal of Fluid Mechanics.

In The Last Decade

Yukio Kaneda

115 papers receiving 3.0k citations

Hit Papers

Study of High–Reynolds Number Isotropic Turbulence by Dir... 2008 2026 2014 2020 2008 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yukio Kaneda Japan 26 2.4k 916 675 584 495 123 3.1k
Robert M. Kerr United States 27 2.5k 1.1× 813 0.9× 565 0.8× 462 0.8× 432 0.9× 67 3.0k
Y. Gagne France 18 1.5k 0.6× 659 0.7× 374 0.6× 609 1.0× 392 0.8× 32 2.6k
Shigeo Kida Japan 28 1.9k 0.8× 481 0.5× 445 0.7× 412 0.7× 605 1.2× 97 2.8k
E. J. Hopfinger France 29 3.0k 1.2× 594 0.6× 485 0.7× 543 0.9× 368 0.7× 61 4.5k
Toshiyuki Gotoh Japan 27 1.9k 0.8× 626 0.7× 532 0.8× 543 0.9× 236 0.5× 77 2.3k
Андрей Николаевич Колмогоров Russia 5 2.4k 1.0× 1.0k 1.1× 779 1.2× 1.1k 1.9× 723 1.5× 15 4.3k
P. K. Yeung United States 38 3.9k 1.6× 1.5k 1.7× 832 1.2× 725 1.2× 378 0.8× 101 4.6k
Emmanuel Lévêque France 23 1.5k 0.6× 501 0.5× 294 0.4× 492 0.8× 353 0.7× 54 2.2k
J. Andrzej Domaradzki United States 30 2.3k 1.0× 883 1.0× 622 0.9× 308 0.5× 238 0.5× 81 2.7k
Jörg Schumacher Germany 33 2.6k 1.1× 696 0.8× 625 0.9× 1.3k 2.2× 270 0.5× 164 3.7k

Countries citing papers authored by Yukio Kaneda

Since Specialization
Citations

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

Fields of papers citing papers by Yukio Kaneda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yukio Kaneda

This figure shows the co-authorship network connecting the top 25 collaborators of Yukio Kaneda. A scholar is included among the top collaborators of Yukio Kaneda 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 Yukio Kaneda. Yukio Kaneda 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.
Gotoh, Toshiyuki & Yukio Kaneda. (2023). Statistics of the Inertial Energy Transfer Range in d-Dimensional Turbulence (2 ≤ d ≤ 3) in a Lagrangian Renormalized Approximation. Atmosphere. 14(6). 1053–1053. 1 indexed citations
2.
Kaneda, Yukio. (2020). Linear response theory of turbulence. Journal of Statistical Mechanics Theory and Experiment. 2020(3). 34006–34006. 5 indexed citations
3.
Kaneda, Yukio, Yoshinobu Yamamoto, & Yoshiyuki Tsuji. (2019). Linear Response Theory for One-Point Statistics in the Inertial Sublayer of Wall-Bounded Turbulence. Physical Review Letters. 122(19). 194502–194502. 4 indexed citations
4.
Ishihara, Takashi, et al.. (2016). Vortex Clusters and Their Time Evolution in High- Reynolds-Number Turbulence. Bulletin of the American Physical Society. 1 indexed citations
5.
Ishihara, Takashi, J. C. R. Hunt, & Yukio Kaneda. (2012). Intense dissipative mechanisms of strong thin shear layers in high Reynolds number turbulence. Bulletin of the American Physical Society. 2 indexed citations
6.
Davidson, P. A., et al.. (2012). Ten Chapters in Turbulence. Cambridge University Press eBooks. 126 indexed citations
7.
Sogabe, Tomohiro, et al.. (2010). Four-point correlation function of a passive scalar field in rapidly fluctuating turbulence: Numerical analysis of an exact closure equation. Physical Review E. 82(3). 36316–36316. 3 indexed citations
8.
Okamoto, Naoya, et al.. (2009). Intermittency and scale-dependent statistics in fully developed turbulence. Physical Review E. 79(2). 26303–26303. 23 indexed citations
9.
Ishihara, Takashi, Toshiyuki Gotoh, & Yukio Kaneda. (2008). Study of High–Reynolds Number Isotropic Turbulence by Direct Numerical Simulation. Annual Review of Fluid Mechanics. 41(1). 165–180. 446 indexed citations breakdown →
10.
Kaneda, Yukio, Hiroshi Kawamura, & Masaki Sasai. (2007). Frontiers of Computational Science: Proceedings of the International Symposium on Frontiers of Computational Science 2005. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 3 indexed citations
11.
Itakura, Ken-ichi, Atsuya Uno, Mitsuo Yokokawa, et al.. (2003). Performance tuning of a CFD code on the Earth Simulator. 44(1). 115–119. 1 indexed citations
12.
Yoshida, Kyo & Yukio Kaneda. (2000). Anomalous scaling of anisotropy of second-order moments in a model of a randomly advected solenoidal vector field. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 63(1). 16308–16308. 16 indexed citations
13.
Matsumoto, Takashi, et al.. (1995). High Performance I/O System of the Distributed Shared-Memory Massively Parallel Computer JUMP-1. 470–473. 3 indexed citations
14.
Matsuda, Hideo, Hiroshi Yamashita, & Yukio Kaneda. (1994). Molecular Phylogenetic Analysis using both DNA and Amino Acid Sequence Data and Its Parallelization. Proceedings Genome Informatics Workshop/Genome informatics. 5. 120–129. 6 indexed citations
15.
Ishihara, Takashi & Yukio Kaneda. (1994). Spontaneous Singularity Formation in the Shape of Vortex Sheet in Three-Dimensional Flow. Journal of the Physical Society of Japan. 63(2). 388–392. 6 indexed citations
16.
Kaneda, Yukio, et al.. (1994). Numerical simulation of semi-dilute suspensions of rodlike particles in shear flow. Journal of Non-Newtonian Fluid Mechanics. 54. 405–421. 98 indexed citations
17.
Kaneda, Yukio, et al.. (1987). Implementation of Prolog Database System. Journal of information processing. 10(2). 81–85.
18.
Tamura, Naoyuki & Yukio Kaneda. (1984). Implementing Parallel Prolog on a Multiprocessor Machine.. 42–48. 7 indexed citations
19.
Tamura, Naoyuki, et al.. (1984). Sequential Prolog Machine PEK.. Future Generation Computer Systems. 542–550. 7 indexed citations
20.
Kaneda, Yukio, et al.. (1979). The experimental LISP machine. International Joint Conference on Artificial Intelligence. 865–867. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026