Eiichi Abe

74 papers receiving 2.4k citations

Peers

Eiichi Abe
Comparison fields: 5 of 112
  • Renewable Energy, Sustainability and the Environment 1.4k
  • Discrete Mathematics and Combinatorics 180
  • Algebra and Number Theory 154
  • Polymers and Plastics 377
  • Materials Chemistry 1.1k
Replace Masaaki Yoshida with:
Masaaki Yoshida Japan
Lu Li China
Peter Kohn United Kingdom
Peng Luo China
Ming Li China
Hamilton Varela Brazil
Tao He China
Chris Van Haesendonck Belgium
Site Li United States
Eiichi Abe relative to Masaaki Yoshida Japan Masaaki Yoshida's profile →
Citations per field
00.5×10×17.1×
Masaaki Yoshida · 1×
Citations per year

Countries citing papers authored by Eiichi Abe

Since Specialization
Citations

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

Fields of papers citing papers by Eiichi Abe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004322
2 2005278
3 2004176
4 2004127
5 2002124
6 2002107
7 2004105
8 197685
9 196983
10 200280
11 199474
12 200374
13 200471
14 200563
15 200646
16 201440
17 200337
18 200335
19 200234
20 198334

About Eiichi Abe

Eiichi Abe is a scholar working on Materials Chemistry, Renewable Energy, Sustainability and the Environment, Computational Mechanics, Mechanical Engineering and Algebra and Number Theory, having authored 86 papers that have together received 2.5k indexed citations. Recurring topics across this work include Advanced Photocatalysis Techniques (13 papers), Granular flow and fluidized beds (12 papers), TiO2 Photocatalysis and Solar Cells (10 papers), Advanced Topics in Algebra (9 papers), Finite Group Theory Research (8 papers), Cyclone Separators and Fluid Dynamics (7 papers), Mesoporous Materials and Catalysis (7 papers) and Cholinesterase and Neurodegenerative Diseases (6 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (1.4k citations), Discrete Mathematics and Combinatorics (180 citations), Algebra and Number Theory (154 citations), Polymers and Plastics (377 citations) and Materials Chemistry (1.1k citations). Eiichi Abe has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Tingli Ma, Morito Akiyama, Xiaoming Fang, Guoqing Guan, Tetsuya Kida, Kozo Inoue, Hiroaki Noma, Isao Imai, Ken Yao and Hideharu Hirosue. Their work appears in journals such as Tohoku Mathematical Journal, Journal of Electroanalytical Chemistry, Powder Technology, Chemistry Letters and JOURNAL OF CHEMICAL ENGINEERING OF JAPAN.

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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