Hideto Ikeda

31 papers receiving 271 citations

Peers

Hideto Ikeda
Comparison fields: 5 of 59
  • Fluid Flow and Transfer Processes 57
  • Discrete Mathematics and Combinatorics 26
  • Computational Mechanics 88
  • Computational Theory and Mathematics 53
  • Catalysis 16
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Tudor C. Ionescu Romania
Karthikeyan Natarajan India
Steven A. Wright United States
V. U. K. Sastry India
Dohyung Park South Korea
Xiaoxiao Jiang China
Qing Cheng China
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Citations per year

Countries citing papers authored by Hideto Ikeda

Since Specialization
Citations

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

Fields of papers citing papers by Hideto Ikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hideto Ikeda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hideto Ikeda Line = papers co-authored together Hideto Ikeda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199560
2 197548
3 199343
4 200128
5 198821
6 197521
7 199113
8
Additional facilities of a concentional DBMS to support interactive statistical analysis
198111
9 198111
10 201311
11
Prognostic factors for patients with esophageal cancer treated with radiation therapy in PCS: a preliminary study.
19999
12 19798
13 19775
14
INTEGRATED MULTI-NODAL TRAFFIC NETWORK SYSTEMS
20035
15 19784
16 20113
17
Evaluation of combinatorial file organization schemes
19772
18 20132
19 20122
20
Techniques for analysing large volumes of data generated by traffic research
20052

About Hideto Ikeda

Hideto Ikeda is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence and Computational Mechanics, having authored 32 papers that have together received 321 indexed citations. Recurring topics across this work include Data Management and Algorithms (8 papers), Digital Image Processing Techniques (7 papers), Advanced Database Systems and Queries (5 papers), Algorithms and Data Compression (5 papers), Advanced Data Storage Technologies (5 papers), Combustion and flame dynamics (4 papers), Advanced Combustion Engine Technologies (3 papers) and Gas Dynamics and Kinetic Theory (2 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (57 citations), Discrete Mathematics and Combinatorics (26 citations), Computational Mechanics (88 citations), Computational Theory and Mathematics (53 citations) and Catalysis (16 citations). Hideto Ikeda has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Junichi Sato, Forman A. Williams, Noboru Hamada, Yasuyuki Kobayashi, T. Fujimori, Hisao Tamaki, Masaharu Nomura, Toshiro Fujimori, Masahiro Hiraoka and Ken Sakai. Their work appears in journals such as Hiroshima Mathematical Journal, Combustion Science and Technology, International Journal of Hydrogen Energy, Surface Science and Information & Management.

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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