N. Arai

31 papers receiving 442 citations

Peers

N. Arai
Comparison fields: 5 of 68
  • Fluid Flow and Transfer Processes 139
  • Computational Mechanics 201
  • Pharmacology 38
  • Catalysis 25
  • Safety, Risk, Reliability and Quality 31
Replace L. V. Kuibida with:
L. V. Kuibida Russia
Markus C. Weikl Germany
Jim O. Olsson Sweden
Antoine Osmont France
Robert Barat United States
Patrick Nau Germany
Thompson M. Sloane United States
С. Г. Матвеев Russia
H. Böhm Germany
Václav Nevrlý Czechia
N. Arai relative to L. V. Kuibida Russia L. V. Kuibida's profile →
Citations per field
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L. V. Kuibida · 1×
Citations per year

Countries citing papers authored by N. Arai

Since Specialization
Citations

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

Fields of papers citing papers by N. Arai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997110
2 200299
3 200550
4 199843
5 199027
6 200421
7 200218
8 200714
9 198310
10 19987
11 20005
12
Characteristics of emission of char NO during the combustion of a single particle of coal char
19895
13
Characteristics of radiative energy collection by a fine-particle semitransparent suspension (FPSS) used as a vehicle and storage medium of a ''volume heat-trap'' type solar collector
19865
14 20045
15 20044
16 19854
17 19993
18 20073
19 20023
20 19893

About N. Arai

N. Arai is a scholar working on Computational Mechanics, Materials Chemistry, Fluid Flow and Transfer Processes, Mechanical Engineering and Electrical and Electronic Engineering, having authored 33 papers that have together received 459 indexed citations. Recurring topics across this work include Combustion and flame dynamics (14 papers), Advanced Combustion Engine Technologies (8 papers), Radiative Heat Transfer Studies (7 papers), Catalytic Processes in Materials Science (6 papers), Thermochemical Biomass Conversion Processes (4 papers), Fire dynamics and safety research (3 papers), Vehicle emissions and performance (2 papers) and Thermodynamic and Exergetic Analyses of Power and Cooling Systems (2 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (139 citations), Computational Mechanics (201 citations), Pharmacology (38 citations), Catalysis (25 citations) and Safety, Risk, Reliability and Quality (31 citations). N. Arai has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Seiji Takeda, Masanori Kohyama, Kuniyuki Kitagawa, Tomohiko Furuhata, Hiroshi Yamashita, Daiqing Zhao, Ashwani K. Gupta, Kazuko Nakagawa, Tadahiko Mae and Masanobu Hasatani. Their work appears in journals such as Journal of Engineering for Gas Turbines and Power, Energy, Journal of Propulsion and Power, Drying Technology and Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy.

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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