Kohei Arai

605 total citations
86 papers, 410 citations indexed

About

Kohei Arai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Atmospheric Science. According to data from OpenAlex, Kohei Arai has authored 86 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 7 papers in Atmospheric Science. Recurrent topics in Kohei Arai's work include Remote Sensing and Land Use (5 papers), Infrared Target Detection Methodologies (4 papers) and Computer Science and Engineering (4 papers). Kohei Arai is often cited by papers focused on Remote Sensing and Land Use (5 papers), Infrared Target Detection Methodologies (4 papers) and Computer Science and Engineering (4 papers). Kohei Arai collaborates with scholars based in Japan, Indonesia and Malaysia. Kohei Arai's co-authors include Makoto Matsuo, Takami Matsuo, Kurt Thome, Stuart F. Biggar, Satoshi Tsuchida, Hiroshi Okumura, Anik Nur Handayani, Aji Prasetya Wibawa, Cahya Rahmad and Ervizal A.M. Zuhud and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Kohei Arai

72 papers receiving 391 citations

Peers

Kohei Arai
Comparison fields: 5 of 126
  • Artificial Intelligence 80
  • Aerospace Engineering 59
  • Computer Vision and Pattern Recognition 47
  • Information Systems 41
  • Organizational Behavior and Human Resource Management 38
Replace Pei Wang with:
Pei Wang China
Yen‐Hung Chen Taiwan
Indrajit Bhattacharya India
Nadeem Ahmed Bangladesh
Quan Tang China
Shoulin Wei China
Cuong Duc Nguyen United States
Wahidah Hashim Malaysia
Imrus Salehin Bangladesh
Pei Wang China View profile →
Citations per field, relative to Kohei Arai
Kohei Arai · 1×
Citations per year, relative to Kohei Arai
Kohei Arai · 1×

Countries citing papers authored by Kohei Arai

Since Specialization
Citations

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

Fields of papers citing papers by Kohei Arai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kohei Arai

This figure shows the co-authorship network connecting the top 25 collaborators of Kohei Arai. A scholar is included among the top collaborators of Kohei Arai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kohei Arai. Kohei Arai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 0
4 5
5 2
6 3
7 6
8 6
9 2
10 16
11 2
12 1
13 5
14
Automatic information extraction from on-air TV commercial contents
1
15 13
16
Degree of polarization model for leaves and discrimination between pea and rice types leaves for estimation of leaf area index
2
17 55
18 0
19 1
20
比較的保存されたLV収縮を伴う患者における心筋梗塞後の駆出分画へのβ-遮断薬とACE阻害剤のの早期投与 | 文献情報 | J-GLOBAL 科学技術総合リンクセンター
0

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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