Eiji Hato

1.2k total citations
90 papers, 798 citations indexed

About

Eiji Hato is a scholar working on Transportation, Automotive Engineering and Ocean Engineering. According to data from OpenAlex, Eiji Hato has authored 90 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Transportation, 20 papers in Automotive Engineering and 20 papers in Ocean Engineering. Recurrent topics in Eiji Hato's work include Transportation Planning and Optimization (51 papers), Human Mobility and Location-Based Analysis (28 papers) and Urban Transport and Accessibility (25 papers). Eiji Hato is often cited by papers focused on Transportation Planning and Optimization (51 papers), Human Mobility and Location-Based Analysis (28 papers) and Urban Transport and Accessibility (25 papers). Eiji Hato collaborates with scholars based in Japan, Pakistan and Switzerland. Eiji Hato's co-authors include Yasuo Asakura, Masuo Kashiwadani, Masaaki Taniguchi, Masao Kuwahara, Haruhiko Morita, Giancarlos Parady, Y Asakura, Takuya Maruyama, S. Katsuki and Shoshi Mizokami and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Frontiers in Psychology.

In The Last Decade

Eiji Hato

69 papers receiving 729 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Eiji Hato Japan 14 640 199 127 98 84 90 798
Hjp Harry Timmermans Netherlands 13 585 0.9× 121 0.6× 222 1.7× 160 1.6× 59 0.7× 139 786
Shanjiang Zhu United States 15 699 1.1× 215 1.1× 231 1.8× 87 0.9× 42 0.5× 48 847
Daisuke Fukuda Japan 14 495 0.8× 230 1.2× 124 1.0× 108 1.1× 32 0.4× 102 750
Antonio Lima United Kingdom 9 468 0.7× 164 0.8× 77 0.6× 23 0.2× 39 0.5× 12 669
Serdar Çolak United States 6 671 1.0× 233 1.2× 204 1.6× 27 0.3× 35 0.4× 6 892
Michael G. McNally United States 17 910 1.4× 302 1.5× 315 2.5× 112 1.1× 22 0.3× 92 1.1k
Hengcai Zhang China 14 364 0.6× 162 0.8× 31 0.2× 45 0.5× 61 0.7× 48 669
Federico Rupi Italy 17 440 0.7× 134 0.7× 149 1.2× 34 0.3× 35 0.4× 41 655
Ioannis Kaparias United Kingdom 16 570 0.9× 227 1.1× 217 1.7× 30 0.3× 104 1.2× 76 839
Jingtao Ma United States 9 626 1.0× 239 1.2× 111 0.9× 17 0.2× 33 0.4× 27 773

Countries citing papers authored by Eiji Hato

Since Specialization
Citations

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

Fields of papers citing papers by Eiji Hato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eiji Hato

This figure shows the co-authorship network connecting the top 25 collaborators of Eiji Hato. A scholar is included among the top collaborators of Eiji Hato 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 Eiji Hato. Eiji Hato 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
1.
Hato, Eiji, et al.. (2023). A STUDY ON THE LOCATION DYNAMICS OF THE SAWMILLS IN THE MID-MOUNTAINOUS AREA SINCE THE MODERN ERA. Journal of Architecture and Planning (Transactions of AIJ). 88(806). 1271–1282. 1 indexed citations
2.
Hato, Eiji, et al.. (2020). Improving the Accuracy of Travel Mode Detection for Low Data Collection Frequencies. 27(2). 3 indexed citations
3.
Hato, Eiji, et al.. (2018). DEVELOPMENT OF A PRACTICAL EVALUATION METHOD FOR POLICIES TO IMPROVE WALKABILITY USING PROBE PERSON SURVEY DATA. Journal of Japan Society of Civil Engineers Ser D3 (Infrastructure Planning and Management). 74(5). I_735–I_745.
4.
Hato, Eiji, et al.. (2017). STOCHASTIC ASSIGNMENT IN TIME-STRUCTURED NETWORKS. Journal of Japan Society of Civil Engineers Ser D3 (Infrastructure Planning and Management). 73(4). 186–200.
5.
Parady, Giancarlos & Eiji Hato. (2016). Accounting for spatial correlation in tsunami evacuation destination choice: a case study of the Great East Japan Earthquake. Natural Hazards. 84(2). 797–807. 19 indexed citations
6.
Hato, Eiji, et al.. (2016). MODELLING OF TSUNAMI EVACUATION BEHAVIOR ACCOUNTING FOR DYNAMICS OF HETEROGENEITY IN EXPECTED UTILITY. Journal of Japan Society of Civil Engineers Ser D3 (Infrastructure Planning and Management). 72(4). 261–277. 1 indexed citations
7.
Hato, Eiji, et al.. (2015). A Review of Travel Data Collection Methods. 2(4). 1 indexed citations
8.
Hato, Eiji, et al.. (2015). OBSERVATION AND BEHAVIOR MODELS FOR SPATIAL PLANNING IN NETWORKS. Journal of Japan Society of Civil Engineers Ser D3 (Infrastructure Planning and Management). 71(5). I_1–I_19. 1 indexed citations
9.
Maruyama, Takuya, Shoshi Mizokami, & Eiji Hato. (2014). A Smartphone-Based Travel Survey Trial Conducted in Kumamoto, Japan: An Examination of Voluntary Participants' Attributes. Transportation Research Board 93rd Annual MeetingTransportation Research Board. 11 indexed citations
10.
Hato, Eiji, et al.. (2014). DESIGN OF A TRADABLE PERMIT MECHANISM FOR MOBILITY-SHARING AND ITS SOLUTION ALGORITHM. Journal of Japan Society of Civil Engineers Ser D3 (Infrastructure Planning and Management). 70(4). 198–210. 2 indexed citations
11.
Hato, Eiji, et al.. (2013). Combined estimation of activity generation models incorporating unobserved small trips using probe person data. Journal of the Eastern Asia Society for transportation studies. 10. 525–537. 4 indexed citations
12.
Hato, Eiji, et al.. (2013). A STUDY ON THE RESIDENTS' COOPERATION BEHAVIORS UNDER THE TYPHOON DISASTERS BY A COMPLEX NETWORK FORMATION MODEL. Journal of Japan Society of Civil Engineers Ser D3 (Infrastructure Planning and Management). 69(1). 29–40. 1 indexed citations
14.
Hato, Eiji, et al.. (2011). DYNAMIC RESERVATION SYSTEM ON MOBILITY SHARING NETWORK. Journal of Japan Society of Civil Engineers Ser D3 (Infrastructure Planning and Management). 67(5). 67_I_509–67_I_519.
15.
Hato, Eiji, et al.. (2006). Effectiveness of Household Travel Survey Using GPS-Equipped Cell Phones and Web Diary: Comparative Study with Paper-Based Travel Survey. Transportation Research Board 85th Annual MeetingTransportation Research Board. 15 indexed citations
16.
Hato, Eiji. (2006). Evaluation of Trip-Activity Pattern Variability Using Probe Person Data. Transportation Research Board 85th Annual MeetingTransportation Research Board. 1 indexed citations
17.
Hato, Eiji. (2006). Development of MoALs (Mobile Activity Loggers supported by gps-phones) for travel behavior analysis. Transportation Research Board 85th Annual MeetingTransportation Research Board. 15 indexed citations
18.
Asakura, Y, et al.. (1999). MONITORING TRAVEL BEHAVIOR USING PHS BASED LOCATION POSITIONING SERVICE SYSTEM. 12 indexed citations
19.
Hato, Eiji, et al.. (1996). Influence of Traffic Information on Drivers’ Route Choice. Volume 1: Travel Behavior. 3 indexed citations
20.
Hato, Eiji, et al.. (1995). SIMULATION SYSTEM FOR PREDICTING INFLUENCES OF DRIVER REACTION TO REAL-TIME INFORMATION ON NETWORK PERFORMANCE. 2 indexed citations

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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