Kunio Kataoka

52 papers receiving 661 citations

Peers

Kunio Kataoka
Comparison fields: 5 of 68
  • Computational Mechanics 376
  • Biomedical Engineering 226
  • Computer Networks and Communications 170
  • Mechanical Engineering 167
  • Aerospace Engineering 71
Replace E. Saatdjian with:
E. Saatdjian France
Yurii Sh. Matros Russia
Yves Le Guer France
Daniel M. Hobbs United States
Chr. Boyadjiev Bulgaria
Martin Wörner Germany
D. C. Dyson United States
Z. Dagan United States
Yuji Kawamura Japan
Fritz H. Bark Sweden
Kunio Kataoka relative to E. Saatdjian France E. Saatdjian's profile →
Citations per field
00.5×2.9×
E. Saatdjian · 1×
Citations per year

Countries citing papers authored by Kunio Kataoka

Since Specialization
Citations

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

Fields of papers citing papers by Kunio Kataoka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunio Kataoka

This figure shows the co-authorship network connecting the top 25 collaborators of Kunio Kataoka. A scholar is included among the top collaborators of Kunio Kataoka 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 Kunio Kataoka. Kunio Kataoka 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
#WorkIndexed citations
1
Boost to Bioethanol Distillation by Internal Heat-Integrated Distillation Column (HIDiC)
4
2
ENERGY-SAVING CHARACTERISTICS OF HEAT INTEGRATED DISTILLATION COLUMN TECHNOLOGY APPLIED TO MULTI-COMPONENT PETROLEUM DISTILLATION
13
3 4
4 0
5 15
6
An Experimental Investigation of Flow Mode Selection in a Conical Taylor-Couette System
5
7 2
8 5
9
Information Complexity of Laminar Chaotic Mixing Field Produced by Two Parallel, Rotating Cylinders
7
10 2
11 96
12 5
13
Mass Transfer over Taylor Cell Boundaries in a Taylor-Couette Continuous Chemical Reactor
2
14 1
15 38
16 5
17 5
18 51
19 95
20 7

About Kunio Kataoka

Kunio Kataoka is a scholar working on Computational Mechanics, Computer Networks and Communications and Mechanical Engineering, having authored 58 papers that have together received 695 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (21 papers), Heat Transfer Mechanisms (12 papers) and Nonlinear Dynamics and Pattern Formation (11 papers). The work is most often cited by research in Computational Mechanics (376 citations), Computer Networks and Communications (170 citations) and Fluid Flow and Transfer Processes (33 citations). Kunio Kataoka has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Naoto Ohmura, Masayoshi Okubo, Masato Kouzu, Tokurō Mizushina, Masaru Nakaiwa, Mohamed Nabil Noui-Mehidi, Hitoshi Matsuo, Kunio Miki, Keigo Matsuda and Koichi Iwakabe. Their work appears in journals such as Industrial & Engineering Chemistry Research, Chemical Engineering Science and AIChE Journal.

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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