Toshikatsu Hakuta

1.4k citations
63 papers · 1.1k indexed · h-index 16

Toshikatsu Hakuta

60 papers receiving 1.0k citations

Peers

Toshikatsu Hakuta
Comparison fields: 5 of 86
  • Filtration and Separation 62
  • Catalysis 157
  • Fluid Flow and Transfer Processes 107
  • Mechanical Engineering 484
  • Environmental Chemistry 107
Replace Ralph H. Weiland with:
Ralph H. Weiland United States
Carl T. Lira United States
Sui Zhao China
Yusuke Asakuma Japan
Drew Myers United Kingdom
Sepideh Amjad‐Iranagh Iran
Marc Clausse France
Haruo Hikita Japan
Peter Harriott United States
Won Kook Lee South Korea
Toshikatsu Hakuta relative to Ralph H. Weiland United States Ralph H. Weiland's profile →
Citations per field
00.5×5.9×
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Citations per year

Countries citing papers authored by Toshikatsu Hakuta

Since Specialization
Citations

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

Fields of papers citing papers by Toshikatsu Hakuta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2002143
2 199034
3 198813
4 198859
5 198629
6 19867
7
Simulation of a reaction accompanied by separation
198538
8 198544
9 19851
10 19853
11 198411
12 198464
13 19840
14
Correlation of Properties of Aqueous Electrolyte Solutions:Effects of Molality of Electrolyte on Vapor Pressure, Boiling Point Elevation and Heat of Vaporization
19831
15 19834
16 19790
17 19784
18 19776
19 19699
20 19693

About Toshikatsu Hakuta

Toshikatsu Hakuta is a scholar working on Filtration and Separation, Catalysis and Fluid Flow and Transfer Processes, having authored 63 papers that have together received 1.1k indexed citations. Recurring topics across this work include Phase Equilibria and Thermodynamics (16 papers), Membrane Separation and Gas Transport (13 papers), Chemical Thermodynamics and Molecular Structure (9 papers), Carbon Dioxide Capture Technologies (8 papers), Catalysts for Methane Reforming (6 papers), Chemical and Physical Properties in Aqueous Solutions (6 papers), Analytical Chemistry and Chromatography (5 papers) and Thermodynamic properties of mixtures (5 papers). The work is most often cited by research in Filtration and Separation (62 citations), Catalysis (157 citations) and Fluid Flow and Transfer Processes (107 citations). Toshikatsu Hakuta has collaborated with scholars based in Japan, India and Spain. Frequent co-authors include Hiroshi Yoshitome, Yuji Shindo, S. Tokunaga, Kenji Haraya, Hakuai Inoue, Ryo Yoshida, Tomohiko Yamaguchi, Hisao Ichijo, Takeshi Sako and Naotsugu Itoh.

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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