Takuya Tezuka

1.9k citations
66 papers · 1.6k indexed · 1 hit paper · h-index 23

Takuya Tezuka

65 papers receiving 1.6k citations

Hit Papers

Kinetic modeling of ammonia/air weak flames in a micro fl...294201720262020202350100150200250

Peers

Takuya Tezuka
Comparison fields: 5 of 54
  • Fluid Flow and Transfer Processes 1.2k
  • Computational Mechanics 1.1k
  • Aerospace Engineering 539
  • Catalysis 110
  • Materials Chemistry 509
Replace Reinhard Seiser with:
Reinhard Seiser United States
Rodolfo C. Rocha Portugal
Snehasish Panigrahy Ireland
Pino Sabia Italy
Norihiko Iki Japan
Osamu Kurata Japan
Roberto Barberena Graña Italy
Zunhua Zhang China
Jeroen Vancoillie Belgium
Zhaohong He China
Takuya Tezuka relative to Reinhard Seiser United States Reinhard Seiser's profile →
Citations per field
00.5×3.3×
Reinhard Seiser · 1×
Citations per year

Countries citing papers authored by Takuya Tezuka

Since Specialization
Citations

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

Fields of papers citing papers by Takuya Tezuka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20243
3 20241
4 20242
5 202322
6 20234
7 202217
8 20223
9 202131
10 202139
11 20219
12 202137
13 20205
14 202014
15 20208
16 20204
17 20203
18 202010
19 20197
20
Kinetic modeling of ammonia/air weak flames in a micro flow reactor with a controlled temperature profilebreakdown →
2017294

About Takuya Tezuka

Takuya Tezuka is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Catalysis, having authored 66 papers that have together received 1.6k indexed citations. Recurring topics across this work include Combustion and flame dynamics (53 papers), Advanced Combustion Engine Technologies (51 papers), Catalytic Processes in Materials Science (27 papers), Combustion and Detonation Processes (16 papers), Atmospheric chemistry and aerosols (8 papers), Heat transfer and supercritical fluids (6 papers), Catalysis and Oxidation Reactions (6 papers) and Radiative Heat Transfer Studies (5 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (1.2k citations), Computational Mechanics (1.1k citations) and Aerospace Engineering (539 citations). Takuya Tezuka has collaborated with scholars based in Japan, Russia and United States. Frequent co-authors include Hisashi Nakamura, Sunao Hasegawa, Kaoru Maruta, Akira Yamamoto, Shintaro Takahashi, Satoshi Suzuki, Yuki Murakami, Jeongmin Ahn, Ryan J. Milcarek and Masao Kikuchi. Their work appears in journals such as Journal of Power Sources, Energy Conversion and Management and Fuel.

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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