Hiroaki Watanabe

3.0k total citations
171 papers, 2.4k citations indexed

About

Hiroaki Watanabe is a scholar working on Computational Mechanics, Biomedical Engineering and Fluid Flow and Transfer Processes. According to data from OpenAlex, Hiroaki Watanabe has authored 171 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Computational Mechanics, 50 papers in Biomedical Engineering and 34 papers in Fluid Flow and Transfer Processes. Recurrent topics in Hiroaki Watanabe's work include Combustion and flame dynamics (59 papers), Thermochemical Biomass Conversion Processes (44 papers) and Advanced Combustion Engine Technologies (34 papers). Hiroaki Watanabe is often cited by papers focused on Combustion and flame dynamics (59 papers), Thermochemical Biomass Conversion Processes (44 papers) and Advanced Combustion Engine Technologies (34 papers). Hiroaki Watanabe collaborates with scholars based in Japan, China and United States. Hiroaki Watanabe's co-authors include Ryoichi Kurose, Satoru Komori, Kenji Tanno, Hisao Makino, Yasuyuki Kita, Hirofumi Tohma, Seongyool Ahn, Nozomu Hashimoto, Fumiteru AKAMATSU and Shinobu Takizawa and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nano Letters and Physical Review B.

In The Last Decade

Hiroaki Watanabe

154 papers receiving 2.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hiroaki Watanabe Japan 28 1.0k 772 439 319 288 171 2.4k
Egon Hassel Germany 30 1.2k 1.1× 1.2k 1.5× 1.3k 2.9× 573 1.8× 163 0.6× 166 3.1k
Masato Mikami Japan 25 587 0.6× 375 0.5× 510 1.2× 123 0.4× 288 1.0× 158 2.6k
Eric G. Eddings United States 31 1.1k 1.0× 1.2k 1.6× 1.1k 2.5× 437 1.4× 828 2.9× 98 2.9k
Stephen D. Tse United States 29 949 0.9× 438 0.6× 700 1.6× 81 0.3× 909 3.2× 80 2.6k
Ümit Ö. Köylü United States 27 1.2k 1.1× 462 0.6× 1.2k 2.7× 78 0.2× 600 2.1× 62 3.1k
Tran X. Phuoc United States 28 867 0.8× 980 1.3× 449 1.0× 783 2.5× 385 1.3× 73 3.0k
Roda Bounaceur France 32 1.6k 1.5× 1.1k 1.5× 1.9k 4.3× 750 2.4× 678 2.4× 91 3.7k
Zeyad T. Alwahabi Australia 31 1.5k 1.4× 484 0.6× 960 2.2× 113 0.4× 193 0.7× 139 2.7k
A. Tregrossi Italy 32 935 0.9× 543 0.7× 1.7k 3.8× 197 0.6× 1.1k 3.7× 68 2.7k
A. Ciajolo Italy 40 1.3k 1.2× 963 1.2× 2.3k 5.3× 260 0.8× 1.7k 6.0× 130 4.1k

Countries citing papers authored by Hiroaki Watanabe

Since Specialization
Citations

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

Fields of papers citing papers by Hiroaki Watanabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroaki Watanabe

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroaki Watanabe. A scholar is included among the top collaborators of Hiroaki Watanabe 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 Hiroaki Watanabe. Hiroaki Watanabe 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
1.
Yu, Yang, Reo Kai, & Hiroaki Watanabe. (2025). Exploring reaction mechanism and kinetics of acetone pyrolysis and combustion in O2/H2O/CO2 environments via ReaxFF MD simulations. Energy. 335. 137999–137999. 2 indexed citations
2.
Kai, Reo, et al.. (2025). Differential diffusion effect on NH3/H2 non-premixed turbulent flame structure and chemical kinetics. International Journal of Hydrogen Energy. 102. 20–28. 2 indexed citations
3.
Yadav, Sujeet, Reo Kai, Kenji Tanno, & Hiroaki Watanabe. (2025). Large eddy simulation modeling of a semi-industrial scale entrained flow coal gasifier with CO2 recirculation using multi-stream flamelet/progress variable (FPV) approach. Fuel. 392. 134887–134887. 2 indexed citations
4.
Kai, Reo, et al.. (2025). Flame structure and NO production on laminar non-premixed flames of ammonia with highly preheated air. International Journal of Hydrogen Energy. 171. 151062–151062.
5.
Yu, Yang, Reo Kai, & Hiroaki Watanabe. (2024). Atomistic insights into formaldehyde (HCHO) high-temperature treatment and syngas production via ReaxFF MD simulations. Energy. 313. 133725–133725. 5 indexed citations
6.
Yu, Yang, Reo Kai, & Hiroaki Watanabe. (2024). Reaction mechanisms and hydrogen production in the thermal decomposition of simple carboxylic acids in O2/H2O environments. Renewable Energy. 240. 122186–122186. 5 indexed citations
7.
8.
Watanabe, Hiroaki, et al.. (2024). Quantitative analysis of the upwelling behavior of methane bubbles in nature and numerical simulations. Deep Sea Research Part I Oceanographic Research Papers. 210. 104352–104352.
9.
Sato, Hiroyasu, et al.. (2023). Prediction of Prednisolone Dose Correction Using Machine Learning. PubMed. 7(1). 84–103. 2 indexed citations
10.
Yadav, Sujeet, et al.. (2023). Large eddy simulation of coal-ammonia flames with varied ammonia injection locations using a flamelet-based approach. Energy. 276. 127546–127546. 20 indexed citations
11.
Yadav, Sujeet, et al.. (2023). Evaluation of coal ammonia flames using a non-adiabatic three mixture fraction flamelet progress variable approach. Energy. 288. 129833–129833. 12 indexed citations
12.
Watanabe, Hiroaki, et al.. (2022). Evaluation of ammonia co-firing in the CRIEPI coal jet flame using a three mixture fraction FPV-LES. Proceedings of the Combustion Institute. 39(3). 3615–3624. 21 indexed citations
13.
Hashimoto, Nozomu, Satoshi Umemoto, Noriaki NAKATSUKA, et al.. (2018). Measurement Techniques for Soot in Pulverized Coal Combustion Fields. Journal of the Society of Powder Technology Japan. 55(5). 275–281. 1 indexed citations
14.
Tanno, Kenji, Hiroaki Watanabe, & Hisao Makino. (2015). Numerical Simulation of Coal Gasifier for Oxy-Fuel IGCC System. 94(5). 403–412. 1 indexed citations
15.
Muto, Masaya, et al.. (2013). Effect of Parcel Models on Turbulent Property and Scalar Diffusion Yield from Dispersed Liquid Particles in a Particle-laden Turbulent Mixing Layer. Journal of the Society of Powder Technology Japan. 50(9). 646–655. 2 indexed citations
16.
Watanabe, Hiroaki, et al.. (2012). Numerical Simulation of Soot Formation in Spray Jet Flames. Journal of the Society of Powder Technology Japan. 49(6). 467–477. 3 indexed citations
17.
Tazaki, Kazue, et al.. (2006). Microbial Formation of Imogolite. Clay science. 12(2). 245–254. 3 indexed citations
18.
Polgári, Márta, Kazue Tazaki, Hiroaki Watanabe, Tamás Vígh, & A. Gucsik. (2006). Geochemical Aspect of Chemolithoautotrophic Bacterial Activity in the Role of Black Shale Hosted Mn Mineralization, Jurassic Age, Hungary, Europe. Clay science. 12(2). 233–239. 8 indexed citations
19.
Watanabe, Hiroaki, So Kazama, & Masaki Sawamoto. (2004). 73. Verification of an NDVI-Evapotranspiration Model Using a Single Layer Model. Tunnelling and Underground Space Technology. 15(2). 26–26. 1 indexed citations
20.
Watanabe, Hiroaki, et al.. (1997). Response of 2,4-D Resistant Biotype of Fimbristylis miliacea (L.) Vahl. to 2,4-D Dimethylamine and Its Distribution in the Muda Plain, Peninsular Malaysia.. Journal of Weed Science and Technology. 42(3). 240–249. 16 indexed citations

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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