Takumi Ono

415 citations
34 papers · 271 · h-index 12

Impact in

Papers in

Takumi Ono

30 papers receiving 256 citations

Peers

Takumi Ono
Comparison fields: 5 of 61
  • Filtration and Separation 20
  • Fluid Flow and Transfer Processes 56
  • Process Chemistry and Technology 18
  • Polymers and Plastics 49
  • Statistics, Probability and Uncertainty 21
Replace Florian Becker with:
Florian Becker Germany
Patrick Rodgers United States
Bowen Xiao China
Swagatadeb Sahoo India
Jon A. Debling United States
Abdulaziz El-Sinawi Saudi Arabia
Jaap den Doelder Netherlands
Arash Alizadeh Canada
Annette D. Shine United States
Jocelyn Jalbert Canada
Takumi Ono relative to Florian Becker Germany Florian Becker's profile →
Citations per field
00.5×
Florian Becker · 1×
Citations per year

Countries citing papers authored by Takumi Ono

Since Specialization
Citations

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

Fields of papers citing papers by Takumi Ono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Takumi Ono, 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 Takumi Ono Line = papers co-authored together Takumi Ono 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 199926
2 201521
3 202018
4 201016
5 202115
6 196815
7 202315
8 201414
9 201514
10 202113
11 201713
12 201913
13 20029
14 20238
15 20078
16 20228
17
Prediction of undrained shear strength of overconsolidated clay
19856
18 20165
19 20225
20 20234

About Takumi Ono

Takumi Ono is a scholar working on Biomedical Engineering, Fluid Flow and Transfer Processes, Materials Chemistry, Polymers and Plastics and Mechanical Engineering, having authored 34 papers that have together received 271 indexed citations. Recurring topics across this work include Phase Equilibria and Thermodynamics (12 papers), Thermodynamic properties of mixtures (8 papers), Polymer Foaming and Composites (6 papers), Carbon dioxide utilization in catalysis (3 papers), Aerogels and thermal insulation (3 papers), Gold and Silver Nanoparticles Synthesis and Applications (2 papers), Chemical and Physical Properties in Aqueous Solutions (2 papers) and Advanced Sensor and Energy Harvesting Materials (2 papers). The work is most often cited by research in Filtration and Separation (20 citations), Fluid Flow and Transfer Processes (56 citations), Process Chemistry and Technology (18 citations), Polymers and Plastics (49 citations) and Statistics, Probability and Uncertainty (21 citations). Takumi Ono has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Yoshiyuki Satô, Hiroshi Inomata, Masaki Ota, Satoshi Yoda, Satoru Takeshita, Takeshi Furuya, Yoshihiro Takebayashi, Yan‐Gang Zhao, Hidehiko TAKEYAMA and Xueli Wu. Their work appears in journals such as Fluid Phase Equilibria, The Journal of Supercritical Fluids, Review of Scientific Instruments, Journal of Molecular Liquids and Scientific Reports.

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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