Tetsuya Aizawa

95 total papers · 1.1k total citations
68 papers, 845 citations indexed

About

Tetsuya Aizawa is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Materials Chemistry. According to data from OpenAlex, Tetsuya Aizawa has authored 68 papers receiving a total of 845 indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Fluid Flow and Transfer Processes, 42 papers in Computational Mechanics and 23 papers in Materials Chemistry. Recurrent topics in Tetsuya Aizawa's work include Advanced Combustion Engine Technologies (59 papers), Combustion and flame dynamics (40 papers) and Catalytic Processes in Materials Science (22 papers). Tetsuya Aizawa is often cited by papers focused on Advanced Combustion Engine Technologies (59 papers), Combustion and flame dynamics (40 papers) and Catalytic Processes in Materials Science (22 papers). Tetsuya Aizawa collaborates with scholars based in Japan, Australia and United States. Tetsuya Aizawa's co-authors include Hidenori Kosaka, Katsufumi Kondo, Takeyuki Kamimoto, Sanghoon Kook, Lyle M. Pickett, Masanori Sakai, Satoshi Takano, Renlin Zhang, Yukio Matsui and Tatsuya Kuboyama and has published in prestigious journals such as SHILAP Revista de lepidopterología, Fuel and Journal of Applied Crystallography.

In The Last Decade

Tetsuya Aizawa

65 papers receiving 815 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tetsuya Aizawa 677 425 286 260 211 68 845
Per-Erik Bengtsson 350 0.5× 353 0.8× 172 0.6× 114 0.4× 120 0.6× 31 760
Jean-Louis Delfau 592 0.9× 502 1.2× 250 0.9× 83 0.3× 128 0.6× 41 983
D.B. Olson 445 0.7× 324 0.8× 151 0.5× 119 0.5× 94 0.4× 23 720
Kuang C. Lin 432 0.6× 346 0.8× 171 0.6× 65 0.3× 479 2.3× 40 880
Francesco Carbone 458 0.7× 427 1.0× 121 0.4× 121 0.5× 103 0.5× 48 714
C. Allouis 288 0.4× 400 0.9× 180 0.6× 66 0.3× 208 1.0× 50 839
W. L. Flower 348 0.5× 438 1.0× 135 0.5× 105 0.4× 61 0.3× 32 864
F. Cignoli 471 0.7× 516 1.2× 83 0.3× 145 0.6× 105 0.5× 29 855
R.S.G. Baert 774 1.1× 496 1.2× 250 0.9× 327 1.3× 380 1.8× 44 1.0k
Shin Matsuoka 615 0.9× 406 1.0× 114 0.4× 238 0.9× 245 1.2× 50 716

Countries citing papers authored by Tetsuya Aizawa

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuya Aizawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuya Aizawa

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuya Aizawa. A scholar is included among the top collaborators of Tetsuya Aizawa 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 Tetsuya Aizawa. Tetsuya Aizawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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