Daisuke Fukuda

1.1k total citations
102 papers, 750 citations indexed

About

Daisuke Fukuda is a scholar working on Transportation, Building and Construction and Automotive Engineering. According to data from OpenAlex, Daisuke Fukuda has authored 102 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Transportation, 25 papers in Building and Construction and 22 papers in Automotive Engineering. Recurrent topics in Daisuke Fukuda's work include Transportation Planning and Optimization (60 papers), Urban Transport and Accessibility (33 papers) and Transportation and Mobility Innovations (20 papers). Daisuke Fukuda is often cited by papers focused on Transportation Planning and Optimization (60 papers), Urban Transport and Accessibility (33 papers) and Transportation and Mobility Innovations (20 papers). Daisuke Fukuda collaborates with scholars based in Japan, China and Australia. Daisuke Fukuda's co-authors include Mogens Fosgerau, Qian Ge, Shigeru MORICHI, Tetsuo Yai, Nan Zheng, Jan‐Dirk Schmöcker, Katrine Hjorth, Achille Fonzone, Steven N. Durlauf and Nathalie Picard and has published in prestigious journals such as Sustainability, Transportation Research Part C Emerging Technologies and Transportation Research Part B Methodological.

In The Last Decade

Daisuke Fukuda

82 papers receiving 686 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daisuke Fukuda Japan 14 495 230 130 124 108 102 750
Yu-Hsin Liu Taiwan 13 371 0.7× 92 0.4× 103 0.8× 106 0.9× 144 1.3× 25 711
Mario Marinelli Italy 13 225 0.5× 157 0.7× 58 0.4× 175 1.4× 73 0.7× 31 636
Shanjiang Zhu United States 15 699 1.4× 215 0.9× 92 0.7× 231 1.9× 87 0.8× 48 847
Bokui Chen China 17 300 0.6× 242 1.1× 341 2.6× 182 1.5× 27 0.3× 57 807
Song Gao United States 16 733 1.5× 196 0.9× 213 1.6× 297 2.4× 246 2.3× 36 919
Takamasa Iryo Japan 14 581 1.2× 160 0.7× 232 1.8× 166 1.3× 26 0.2× 59 768
Eiji Hato Japan 14 640 1.3× 199 0.9× 59 0.5× 127 1.0× 98 0.9× 90 798
Emma Frejinger Canada 17 1.1k 2.3× 207 0.9× 141 1.1× 274 2.2× 620 5.7× 66 1.4k
Anna Pernestål Sweden 16 220 0.4× 88 0.4× 103 0.8× 358 2.9× 29 0.3× 58 669
Andrés Fielbaum Netherlands 16 375 0.8× 144 0.6× 79 0.6× 414 3.3× 30 0.3× 33 629

Countries citing papers authored by Daisuke Fukuda

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Fukuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisuke Fukuda

This figure shows the co-authorship network connecting the top 25 collaborators of Daisuke Fukuda. A scholar is included among the top collaborators of Daisuke Fukuda 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 Daisuke Fukuda. Daisuke Fukuda 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.
Han, Haoyu, et al.. (2025). Modeling the fracture progressive process of slopes with a combined finite-discrete element method. Engineering Fracture Mechanics. 322. 111162–111162. 1 indexed citations
2.
Liu, Shenglin, et al.. (2025). Mechanism design for coordinating vehicle-based mobile sensing tasks within the ride-hailing platform. Transportation Research Part C Emerging Technologies. 176. 105151–105151.
3.
Han, Haoyu, Hongyuan Liu, Daisuke Fukuda, et al.. (2025). Analysis of step-path failure mechanisms in rock slopes with en-echelon joints based on FDEM simulation. Simulation Modelling Practice and Theory. 142. 103138–103138. 2 indexed citations
4.
Fukuda, Daisuke, et al.. (2023). Use of public transport and social capital building: An empirical study of Japan. Research in Transportation Economics. 99. 101290–101290. 4 indexed citations
5.
Fukuda, Daisuke, et al.. (2021). COMPREHENSIVE EVALUATION MODEL OF THE IMPACT OF CHARGING FACILITY LOCATION FOR ELECTRIC VEHICLES ON VEHICLE TYPE AND ROUTE CHOICES BY DRIVERS. Journal of Japan Society of Civil Engineers Ser D3 (Infrastructure Planning and Management). 76(5). I_847–I_858.
6.
Fukuda, Daisuke, et al.. (2020). On the Pricing of Urban Rail Transit with Track Sharing Freight Service. Sustainability. 12(7). 2758–2758. 9 indexed citations
7.
Kobayashi, Wataru, et al.. (2020). ECONOMIC EVALUATION FOR DELAY AND PUNCTUALITY OF URBAN RAIL TRANSIT BASED ON SCHEDULING APPROACH. Journal of Japan Society of Civil Engineers Ser D3 (Infrastructure Planning and Management). 76(3). 236–250. 1 indexed citations
8.
Fukuda, Daisuke. (2019). Innovative Travel Survey Methods and Behavior Modeling in the Era of Big Data. 5(3). 436–438. 2 indexed citations
9.
Chikaraishi, Makoto, et al.. (2018). AN ANALYSIS OF TRUCKS' ROUTE CHOICE BEHAVIOR CONSIDERING VEHICLE TYPE AND TRIP LENGTH. Journal of Japan Society of Civil Engineers Ser D3 (Infrastructure Planning and Management). 74(5). I_657–I_666. 3 indexed citations
10.
Kato, Hironori, et al.. (2017). Latest urban rail demand forecast model system in the Tokyo Metropolitan Area. Tokyo Tech Research Repository (Tokyo Institute of Technology). 14 indexed citations
11.
Fukuda, Daisuke, et al.. (2017). Determinants of Intention to Shift to a New High Quality Bus Service: A Mixed Logit Model Analysis for Ho Chi Minh City, Vietnam. Journal of the Eastern Asia Society for transportation studies. 12. 2284–2298.
12.
Fukuda, Daisuke, et al.. (2015). Stated Preference Analysis for New Public Transport in a Medium-sized Asian City: A Case Study in Malang, Indonesia. Journal of the Eastern Asia Society for transportation studies. 11. 1451–1466. 4 indexed citations
13.
Fukuda, Daisuke, et al.. (2011). Do ICT Use and Time planning affect Travel Behavior? - An Empirical Investigation in Metro Manila, Philippines. Journal of the Eastern Asia Society for transportation studies. 9. 526–540. 4 indexed citations
14.
Fukuda, Daisuke, et al.. (2011). AUTOMATED PEDESTRIAN DATA COLLECTION FOR THE ESTIMATION OF DISCRETE-CHOICE-BASED PEDESTRIAN BEHAVIOR MODEL. Journal of Japan Society of Civil Engineers Ser D3 (Infrastructure Planning and Management). 67(5). 67_I_787–67_I_800. 2 indexed citations
15.
Fukuda, Daisuke, et al.. (2010). Effects of Socialization on Activity-Travel Behavior in Developing Countries: A Case Study of University Students in Metro Manila, the Philippines. Journal of the Eastern Asia Society for transportation studies. 8. 88–88. 1 indexed citations
16.
Fosgerau, Mogens & Daisuke Fukuda. (2010). Valuing travel time variability: Characteristics of the travel time distribution on an urban road. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 1 indexed citations
17.
18.
Fosgerau, Mogens & Daisuke Fukuda. (2008). Valuing reliability: Characteristics of travel time distribution on an urban road. 1 indexed citations
19.
Fukuda, Daisuke, et al.. (2005). MICROECONOMIC MODELS OF INTRA-HOUSEHOLD ACTIVITY TIME ALLOCATION. Griffith Research Online (Griffith University, Queensland, Australia). 6. 1637–1650. 1 indexed citations
20.
Fukuda, Daisuke, et al.. (2003). CONJOINT ANALYSIS FOR INDIVIDUALS' PURCHASING BEHAVIOR OF ETC IN- VEHICLE TRANSMITTERS. 41–54.

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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