Shinya Kikuchi

1.7k total citations
85 papers, 1.2k citations indexed

About

Shinya Kikuchi is a scholar working on Transportation, Building and Construction and Control and Systems Engineering. According to data from OpenAlex, Shinya Kikuchi has authored 85 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Transportation, 32 papers in Building and Construction and 24 papers in Control and Systems Engineering. Recurrent topics in Shinya Kikuchi's work include Transportation Planning and Optimization (47 papers), Traffic Prediction and Management Techniques (23 papers) and Transportation and Mobility Innovations (16 papers). Shinya Kikuchi is often cited by papers focused on Transportation Planning and Optimization (47 papers), Traffic Prediction and Management Techniques (23 papers) and Transportation and Mobility Innovations (16 papers). Shinya Kikuchi collaborates with scholars based in United States, Japan and India. Shinya Kikuchi's co-authors include Partha Chakroborty, Nopadon Kronprasert, Vukan R Vuchic, Jarkko Niittymäki, Dragana Miljković, Dušan Teodorović, Khaled Hamad, Masanobu Kii, Robert A. Donnelly and Nobuhiro Uno and has published in prestigious journals such as European Journal of Operational Research, Fuzzy Sets and Systems and Transportation Research Part C Emerging Technologies.

In The Last Decade

Shinya Kikuchi

80 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shinya Kikuchi United States 20 682 669 545 320 223 85 1.2k
M J Demetsky United States 14 1.0k 1.5× 613 0.9× 1.1k 2.1× 184 0.6× 133 0.6× 109 1.5k
Tamás Tettamanti Hungary 21 526 0.8× 728 1.1× 410 0.8× 579 1.8× 110 0.5× 96 1.3k
Mingheng Zhang China 15 449 0.7× 237 0.4× 385 0.7× 313 1.0× 84 0.4× 61 1.2k
Haitham Al-Deek United States 24 1.5k 2.2× 1.0k 1.5× 1.6k 3.0× 343 1.1× 533 2.4× 138 2.3k
Praveen Edara United States 23 690 1.0× 838 1.3× 715 1.3× 444 1.4× 613 2.7× 123 1.7k
Francesco Viti Luxembourg 24 1.6k 2.3× 1.0k 1.6× 911 1.7× 674 2.1× 123 0.6× 181 2.1k
Chris Tampère Belgium 23 1.2k 1.7× 1.0k 1.5× 790 1.4× 254 0.8× 93 0.4× 130 1.5k
David Schrank United States 12 638 0.9× 367 0.5× 434 0.8× 230 0.7× 100 0.4× 57 952
Giulio Erberto Cantarella Italy 22 1.9k 2.8× 1.2k 1.7× 645 1.2× 681 2.1× 57 0.3× 63 2.1k
Mei Lam Tam Hong Kong 16 885 1.3× 399 0.6× 564 1.0× 266 0.8× 70 0.3× 42 1.1k

Countries citing papers authored by Shinya Kikuchi

Since Specialization
Citations

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

Fields of papers citing papers by Shinya Kikuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shinya Kikuchi

This figure shows the co-authorship network connecting the top 25 collaborators of Shinya Kikuchi. A scholar is included among the top collaborators of Shinya Kikuchi 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 Shinya Kikuchi. Shinya Kikuchi 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.
Hayashiya, Hitoshi, et al.. (2016). Regenerative energy utilization in a.c. traction power supply system. 1125–1130. 21 indexed citations
3.
Abbas, Montasir, Erel Avineri, Ryan Fries, et al.. (2012). Thoughts on the future of artificial intelligence and transportation. UWE Research Repository (UWE Bristol). 3 indexed citations
4.
Kikuchi, Shinya. (2012). Analysis of Public Transportation Planning and Operations. Transportation research circular. 2 indexed citations
5.
Kikuchi, Shinya. (2007). Fuzzy Sets Theory Approach to Transportation Problems. Transportation research circular. 4 indexed citations
6.
Kikuchi, Shinya. (2006). Trip Attraction Characteristics of Neighborhood- and Community-Level Shopping Centers. Transportation Research Board 85th Annual MeetingTransportation Research Board.
7.
Kikuchi, Shinya, et al.. (2006). Method for Balancing Observed Boarding and Alighting Counts on a Transit Line. Transportation Research Record Journal of the Transportation Research Board. 1971. 42–50. 5 indexed citations
8.
Kikuchi, Shinya & Partha Chakroborty. (2006). Frameworks to Represent Uncertainty When Level of Service Is Determined. Transportation Research Record Journal of the Transportation Research Board. 1968. 53–62. 12 indexed citations
9.
Teodorović, Dušan, et al.. (2002). Intelligent Airline Seat Inventory Control System. Transportation Planning and Technology. 25(3). 155–173. 7 indexed citations
10.
Niittymäki, Jarkko & Shinya Kikuchi. (1998). Application of Fuzzy Logic to the Control of a Pedestrian Crossing Signal. Transportation Research Record Journal of the Transportation Research Board. 1651(1). 30–38. 49 indexed citations
11.
Chakroborty, Partha, et al.. (1995). LENGTHS OF LEFT-TURN LANES AT UNSIGNALIZED INTERSECTIONS. Transportation Research Record Journal of the Transportation Research Board. 193–201. 18 indexed citations
12.
Vuchic, Vukan R, et al.. (1995). NEGATIVE IMPACTS OF BUSWAY AND BUS LANE CONVERSIONS INTO HIGH-OCCUPANCY VEHICLE FACILITIES. Transportation Research Record Journal of the Transportation Research Board. 75–86. 2 indexed citations
13.
Kikuchi, Shinya, et al.. (1993). MODELING OF DRIVER ANXIETY DURING SIGNAL CHANGE INTERVALS. Transportation Research Record Journal of the Transportation Research Board. 21 indexed citations
14.
Kikuchi, Shinya & Dušan Teodorović. (1993). Foreword to special issue. Transportation Planning and Technology. 17(2). 89–89. 1 indexed citations
15.
Kikuchi, Shinya & Partha Chakroborty. (1992). CAR-FOLLOWING MODEL BASED ON FUZZY INFERENCE SYSTEM. Transportation Research Record Journal of the Transportation Research Board. 132 indexed citations
16.
Kikuchi, Shinya, et al.. (1992). MODEL TO ESTIMATE PASSENGER ORIGIN-DESTINATION PATTERN ON A RAIL TRANSIT LINE. Transportation Research Record Journal of the Transportation Research Board. 7 indexed citations
17.
Kikuchi, Shinya, et al.. (1992). METHODOLOGY TO ANALYZE DRIVER DECISION ENVIRONMENT DURING SIGNAL CHANGE INTERVALS: APPLICATION OF FUZZY SET THEORY. Transportation Research Record Journal of the Transportation Research Board. 4 indexed citations
18.
Kikuchi, Shinya & Partha Chakroborty. (1991). ANALYSIS OF LEFT-TURN-LANE WARRANTS AT UNSIGNALIZED T-INTERSECTIONS ON TWO-LANE ROADWAYS. Transportation Research Record Journal of the Transportation Research Board. 7 indexed citations
19.
Vuchic, Vukan R & Shinya Kikuchi. (1985). PLANNING AN INTEGRATED REGIONAL RAIL NETWORK: PHILADELPHIA CASE. Transportation Research Record Journal of the Transportation Research Board.
20.
Vuchic, Vukan R & Shinya Kikuchi. (1974). DESIGN OF OUTLYING RAPID TRANSIT STATION AREAS. Transportation Research Record Journal of the Transportation Research Board. 505(505). 1–12. 13 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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