Satoshi Sakaida

403 citations
34 papers · 324 · h-index 10

Impact in

Papers in

Satoshi Sakaida

29 papers receiving 319 citations

Peers

Satoshi Sakaida
Comparison fields: 5 of 39
  • Fluid Flow and Transfer Processes 93
  • Computational Mechanics 96
  • Catalysis 25
  • Materials Chemistry 154
  • Renewable Energy, Sustainability and the Environment 50
Replace A. Barbier with:
A. Barbier Spain
Penghui Yang China
Shuiqing Li China
Manoel Y. Manuputty Singapore
Mari Juel Norway
S. I. Shabunya Belarus
Matthew L. Gross United States
Xin Meng China
Jingwen Lv China
Satoshi Sakaida relative to A. Barbier Spain A. Barbier's profile →
Citations per field
00.5×4.5×
A. Barbier · 1×
Citations per year

Countries citing papers authored by Satoshi Sakaida

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Sakaida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Satoshi Sakaida, 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 Satoshi Sakaida Line = papers co-authored together Satoshi Sakaida links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201750
2 201937
3 201536
4 201429
5 202222
6 202120
7 201512
8 201911
9 202011
10 201910
11 20208
12 20218
13 20228
14 20177
15 20197
16 20236
17 20226
18 20195
19 20184
20 20214

About Satoshi Sakaida

Satoshi Sakaida is a scholar working on Materials Chemistry, Computational Mechanics, Electrical and Electronic Engineering, Fluid Flow and Transfer Processes and Automotive Engineering, having authored 34 papers that have together received 324 indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (12 papers), Catalytic Processes in Materials Science (11 papers), Fuel Cells and Related Materials (10 papers), Lattice Boltzmann Simulation Studies (8 papers), Vehicle emissions and performance (6 papers), Catalysis and Oxidation Reactions (5 papers), Combustion and flame dynamics (4 papers) and Luminescence Properties of Advanced Materials (3 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (93 citations), Computational Mechanics (96 citations), Catalysis (25 citations), Materials Chemistry (154 citations) and Renewable Energy, Sustainability and the Environment (50 citations). Satoshi Sakaida has collaborated with scholars based in Japan, United States and Finland. Frequent co-authors include Mitsuru KONNO, Kotaro Tanaka, Yutaka Tabe, Takemi Chikahisa, Sawao Honda, Yuji Iwamoto, Yoshinaka Takeda, Toru Asaka, Shunsuke Suzuki and Mitsuharu Oguma. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, International Journal of Hydrogen Energy, Journal of Power Sources, Journal of Luminescence and Combustion and Flame.

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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