Koichi Sakai

550 citations
11 papers · 91 indexed · h-index 5
Topics
Traffic Prediction and Management Techniques (5 papers)Traffic control and management (3 papers)Transportation Planning and Optimization (3 papers)
Journals
IATSS ResearchIEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences19th ITS World CongressERTICO - ITS EuropeEuropean CommissionITS AmericaITS Asia-Pacific
Partner nations
Japan

In The Last Decade

Koichi Sakai

9 papers receiving 86 citations

Peers

Koichi Sakai
Comparison fields: 5 of 33
  • Automotive Engineering 45
  • Transportation 45
  • Building and Construction 28
  • Control and Systems Engineering 24
  • Electrical and Electronic Engineering 20
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Citations per field
00.5×3.3×
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Citations per year

Countries citing papers authored by Koichi Sakai

Since Specialization
Citations

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

Fields of papers citing papers by Koichi Sakai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koichi Sakai

This figure shows the co-authorship network connecting the top 25 collaborators of Koichi Sakai. A scholar is included among the top collaborators of Koichi Sakai 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 Koichi Sakai. Koichi Sakai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 0
2 12
3 22
4 34
5
Assessment Report of US-Japan-Europe Collaborative Research on Probe Data: International Probe Data Work Group Phase 2
1
6
Conducting the FOT to Evaluate the Driving Practice for Smooth Traffic to Mitigate Traffic Congestion at Sag Sections on Expressways
1
7 1
8 11
9
Proving Tests in Regional Deployment of Forward Obstacle Information Provision Service and So On
1
10
The Development of AHS for the Service to Optimize Lane Utilization Rates at Sag Sections on Expressway
1
11 7

About Koichi Sakai

Koichi Sakai is a scholar working on Transportation, Building and Construction and Geology, having authored 11 papers that have together received 91 indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (5 papers), Traffic control and management (3 papers) and Transportation Planning and Optimization (3 papers). The work is most often cited by research in Transportation (45 citations), Automotive Engineering (45 citations) and Building and Construction (28 citations). Koichi Sakai has collaborated with scholars based in Japan. Frequent co-authors include Shunsuke Kamijo, Hiroshi Makino, Kazufumi Suzuki, Kenji Takahashi, Akira Fujimoto, Yvonne Barnard, Maxime Flament, Satoshi Nishiyama, Daisuke Yamashita and Miho Asano. Their work appears in journals such as IATSS Research, IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences and 19th ITS World CongressERTICO - ITS EuropeEuropean CommissionITS AmericaITS Asia-Pacific.

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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