Toru Hagiwara

73 papers receiving 400 citations

Peers

Toru Hagiwara
Comparison fields: 5 of 71
  • Transportation 188
  • Safety, Risk, Reliability and Quality 166
  • Social Psychology 91
  • Building and Construction 79
  • Automotive Engineering 66
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Citations per field
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Citations per year

Countries citing papers authored by Toru Hagiwara

Since Specialization
Citations

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

Fields of papers citing papers by Toru Hagiwara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toru Hagiwara

This figure shows the co-authorship network connecting the top 25 collaborators of Toru Hagiwara. A scholar is included among the top collaborators of Toru Hagiwara 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 Toru Hagiwara. Toru Hagiwara 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
#WorkIndexed citations
1
Fundamental Visibility Assessment for Probeam Road Lighting
0
2
Analysis of Pedestrian Behavior Change with Warning of Approaching Right-Turning Vehicle at the Intersection
3
3
Review of Driver's Preview Behavior
0
4
Development of a Visibility Forecast Model Based on a Road Visibility Information System (RVIS) and Meteorological Data
1
5 4
6 2
7
Experimental Study on Required Luminous Intensity of LED Roadway Delineators Under Foggy Conditions
1
8
Development of a Visibility Estimation Model Based on Visibility Information from Road Images Captured in Winter
3
9 0
10 11
11
Required Luminous Intensity of LED Delineators Under Foggy Conditions
1
12
Experimental Study on Right-Turning Driver Comprehension in Detecting Pedestrians During Nighttime
2
13 11
14 45
15 8
16 2
17 5
18 0
19
EFFECTS OF LATERAL SEPARATION BETWEEN DOUBLE CENTER-STRIPE PAVEMENT MARKINGS ON VISIBILITY UNDER NIGHTTIME DRIVING CONDITIONS
14
20
DESCRIPTION OF MACROSCOPIC RELATIONSHIPS AMONG TRAFFIC FLOW VARIABLES USING NEURAL NETWORK MODELS
3

About Toru Hagiwara

Toru Hagiwara is a scholar working on Safety, Risk, Reliability and Quality, Transportation and Ecological Modeling, having authored 91 papers that have together received 443 indexed citations. Recurring topics across this work include Traffic and Road Safety (20 papers), Safety Warnings and Signage (16 papers) and Traffic Prediction and Management Techniques (15 papers). The work is most often cited by research in Transportation (188 citations), Safety, Risk, Reliability and Quality (166 citations) and Building and Construction (79 citations). Toru Hagiwara has collaborated with scholars based in Japan, Norway and Sri Lanka. Frequent co-authors include Seiichi Kagaya, Takeo Adachi, Kenetsu Uchida, Helmut T. Zwahlen, Thomas Schnell, Masahiro Tada, Y Kaneda, Yasuhiro Nagata, Satoshi Fujita and Motoki Asano. Their work appears in journals such as Resources Conservation and Recycling, Transportation Research Record Journal of the Transportation Research Board and International Journal of Intelligent Transportation Systems Research.

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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