Akiomi USHIDA

499 total citations
52 papers, 414 citations indexed

About

Akiomi USHIDA is a scholar working on Biomedical Engineering, Computational Mechanics and Fluid Flow and Transfer Processes. According to data from OpenAlex, Akiomi USHIDA has authored 52 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Biomedical Engineering, 19 papers in Computational Mechanics and 16 papers in Fluid Flow and Transfer Processes. Recurrent topics in Akiomi USHIDA's work include Fluid Dynamics and Mixing (18 papers), Rheology and Fluid Dynamics Studies (16 papers) and Minerals Flotation and Separation Techniques (13 papers). Akiomi USHIDA is often cited by papers focused on Fluid Dynamics and Mixing (18 papers), Rheology and Fluid Dynamics Studies (16 papers) and Minerals Flotation and Separation Techniques (13 papers). Akiomi USHIDA collaborates with scholars based in Japan and United States. Akiomi USHIDA's co-authors include Takatsune NARUMI, Tomiichi HASEGAWA, Toshiyuki Nakajima, Taisuke Sato, Naoyuki Takahashi, Takahiro Koyama, Masaki Gôda, T. Sugiyama, I. Yamamoto and Shuichi Ogawa and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Food Engineering.

In The Last Decade

Akiomi USHIDA

44 papers receiving 396 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akiomi USHIDA Japan 10 202 178 100 89 77 52 414
Takatsune NARUMI Japan 13 293 1.5× 199 1.1× 204 2.0× 219 2.5× 129 1.7× 85 667
J. Kromkamp Netherlands 9 178 0.9× 156 0.9× 134 1.3× 33 0.4× 54 0.7× 9 406
Lutz Böhm Germany 12 303 1.5× 213 1.2× 108 1.1× 19 0.2× 77 1.0× 35 440
Geoffrey G Duffy New Zealand 13 140 0.7× 35 0.2× 144 1.4× 69 0.8× 204 2.6× 38 534
N. Gül Özcan-Taşkın United Kingdom 13 313 1.5× 195 1.1× 232 2.3× 37 0.4× 105 1.4× 23 518
Gustavo Padron United Kingdom 9 167 0.8× 90 0.5× 139 1.4× 26 0.3× 57 0.7× 13 320
Marcin Lemanowicz Poland 11 81 0.4× 116 0.7× 28 0.3× 12 0.1× 79 1.0× 40 327
David Hewitt United States 8 181 0.9× 205 1.2× 54 0.5× 6 0.1× 98 1.3× 13 351
Nicolas Louvet France 13 62 0.3× 32 0.2× 161 1.6× 44 0.5× 51 0.7× 20 426
Mahendra R. Doshi United States 12 258 1.3× 227 1.3× 118 1.2× 12 0.1× 77 1.0× 35 519

Countries citing papers authored by Akiomi USHIDA

Since Specialization
Citations

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

Fields of papers citing papers by Akiomi USHIDA

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akiomi USHIDA

This figure shows the co-authorship network connecting the top 25 collaborators of Akiomi USHIDA. A scholar is included among the top collaborators of Akiomi USHIDA 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 Akiomi USHIDA. Akiomi USHIDA 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.
USHIDA, Akiomi, et al.. (2024). Effect of Ultra-Fine Ozone-Rich Bubble Mixtures on the Degradation of Organic Compounds. JAPANESE JOURNAL OF MULTIPHASE FLOW. 38(1). 60–68.
2.
Domon, Hisanori, Satoru Hirayama, Akiomi USHIDA, et al.. (2024). Effective degradation of various bacterial toxins using ozone ultrafine bubble water. PLoS ONE. 19(7). e0306998–e0306998.
3.
Domon, Hisanori, Takumi Hiyoshi, Hikaru Tamura, et al.. (2023). Ozone ultrafine bubble water exhibits bactericidal activity against pathogenic bacteria in the oral cavity and upper airway and disinfects contaminated healthcare equipment. PLoS ONE. 18(4). e0284115–e0284115. 8 indexed citations
4.
USHIDA, Akiomi, et al.. (2023). Antimicrobial Effect of Ultra-Fine Ozone-Rich Bubble Mixtures on Spore-Forming Bacteria. JAPANESE JOURNAL OF MULTIPHASE FLOW. 37(1). 65–72. 1 indexed citations
5.
USHIDA, Akiomi, et al.. (2021). Effect of Molar Concentration Ratio on the Flow Properties of Rod-Like Micellar Solutions Passing through Small Orifices. Nihon Reoroji Gakkaishi. 49(5). 303–317. 1 indexed citations
6.
USHIDA, Akiomi, Ryosuke Chiba, Taisuke Sato, et al.. (2021). Effect of Molar Concentration on the Flow Behavior of Micellar Solutions Passing through Small Slits. Nihon Reoroji Gakkaishi. 49(1). 15–27. 3 indexed citations
7.
USHIDA, Akiomi, et al.. (2020). Washing Effect of Microbubble Mixture on the Soiled Model Attached on a Metal Surface. JAPANESE JOURNAL OF MULTIPHASE FLOW. 34(1). 254–263. 6 indexed citations
8.
HASEGAWA, Tomiichi, Yasushi Ono, Akiomi USHIDA, & Masaki Gôda. (2020). Continuous organic synthesis in water around micro-orifices after flows. Heliyon. 6(3). e03630–e03630. 1 indexed citations
9.
Sato, Taisuke, Takatsune NARUMI, & Akiomi USHIDA. (2020). Flow-Induced Orientation of a Polymer Solution in a Planar Channel with Abrupt Contraction and Expansion. Nihon Reoroji Gakkaishi. 48(2). 129–135. 3 indexed citations
10.
USHIDA, Akiomi, Taisuke Sato, Takatsune NARUMI, et al.. (2020). Flow properties of surfactant solutions of rod-like micelles passing through a small slit. Journal of Non-Newtonian Fluid Mechanics. 280. 104296–104296. 4 indexed citations
11.
HASEGAWA, Tomiichi, et al.. (2018). Elongational Stress and Velocity of Dilute Polymer Solutions Flowing into Small Apertures. Nihon Reoroji Gakkaishi. 46(4). 165–169. 1 indexed citations
12.
HASEGAWA, Tomiichi, Akiomi USHIDA, Masaki Gôda, & Yasushi Ono. (2017). Organic compounds generated after the flow of water through micro-orifices: Were they synthesized?. Heliyon. 3(8). e00376–e00376. 5 indexed citations
13.
HASEGAWA, Tomiichi, Akiomi USHIDA, & Takatsune NARUMI. (2015). A simple expression for pressure drops of water and other low molecular liquids in the flow through micro-orifices. Physics of Fluids. 27(12). 9 indexed citations
14.
15.
USHIDA, Akiomi, Tomiichi HASEGAWA, Takatsune NARUMI, & Toshiyuki Nakajima. (2013). Flow properties of nanobubble mixtures passing through micro-orifices. International Journal of Heat and Fluid Flow. 40. 106–115. 13 indexed citations
16.
USHIDA, Akiomi, et al.. (2012). Measurement and Observation of Jet Thrust for Water Flow Through Micro-Orifice. Journal of Fluids Engineering. 134(8). 9 indexed citations
17.
USHIDA, Akiomi, et al.. (2011). Measurement of Jet Thrusts and Pressure Drops and Estimation of Elongational Stress of Liquids in Slit Flows. KAGAKU KOGAKU RONBUNSHU. 37(3). 203–210. 1 indexed citations
18.
HASEGAWA, Tomiichi, et al.. (2010). A Simple Model for the Dynamic Surface Tension of Polymer Solutions. Nihon Reoroji Gakkaishi. 37(5). 253–258.
19.
USHIDA, Akiomi, et al.. (2010). Measurement of Thrusts and Estimation of Elastic Stresses of Liquids Passing Through Micro-Orifices. Nihon Reoroji Gakkaishi. 38(4_5). 215–221. 4 indexed citations
20.
Sugiyama, T., Akiomi USHIDA, & I. Yamamoto. (2008). Effects of the gas–liquid ratio on the optimum catalyst quantity for the CECE process with a homogeneously packed LPCE column. Fusion Engineering and Design. 83(10-12). 1447–1450. 6 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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