Preechar Karin

52 papers receiving 497 citations

Peers

Preechar Karin
Comparison fields: 5 of 59
  • Fluid Flow and Transfer Processes 207
  • Automotive Engineering 153
  • Biomedical Engineering 229
  • Materials Chemistry 232
  • Health, Toxicology and Mutagenesis 62
Replace Neeraj Kumar Gupta with:
Neeraj Kumar Gupta India
Chenyang Fan China
P. Senthilkumar India
Ewa A. Bardasz United States
Yinnan Yuan China
V Praveena India
Yueqi Luo China
Jesús Sánchez-Valdepeñas Spain
Michael D. Kass United States
Yukio Miyairi Japan
Preechar Karin relative to Neeraj Kumar Gupta India Neeraj Kumar Gupta's profile →
Citations per field
00.5×1.5×2.2×
Neeraj Kumar Gupta · 1×
Citations per year

Countries citing papers authored by Preechar Karin

Since Specialization
Citations

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

Fields of papers citing papers by Preechar Karin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Preechar Karin, 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 Preechar Karin Line = papers co-authored together Preechar Karin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201641
2 202239
3 200939
4 202232
5 202130
6 201126
7 200924
8 201523
9 202022
10 201921
11 201417
12 201017
13 201716
14 201714
15 202213
16 202011
17 20139
18 20219
19 20219
20 20187

About Preechar Karin

Preechar Karin is a scholar working on Biomedical Engineering, Materials Chemistry, Fluid Flow and Transfer Processes, Mechanical Engineering and Automotive Engineering, having authored 54 papers that have together received 508 indexed citations. Recurring topics across this work include Biodiesel Production and Applications (24 papers), Catalytic Processes in Materials Science (20 papers), Advanced Combustion Engine Technologies (18 papers), Vehicle emissions and performance (16 papers), Lubricants and Their Additives (10 papers), Air Quality and Health Impacts (8 papers), Tribology and Wear Analysis (5 papers) and Aerosol Filtration and Electrostatic Precipitation (4 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (207 citations), Automotive Engineering (153 citations), Biomedical Engineering (229 citations), Materials Chemistry (232 citations) and Health, Toxicology and Mutagenesis (62 citations). Preechar Karin has collaborated with scholars based in Japan, Thailand and Vietnam. Frequent co-authors include Katsunori Hanamura, Chinda Charoenphonphanich, Nuwong Chollacoop, Hidenori Kosaka, Liyan Cui, Hiroshi Oki, Manida Tongroon, Masaki Yamakita, Ruangdaj Tongsri and Naoto Ohtake. Their work appears in journals such as International Journal of Automotive Technology, SAE technical papers on CD-ROM/SAE technical paper series, Journal of the Energy Institute, Emission Control Science and Technology and Case Studies in Chemical and Environmental Engineering.

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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