Hiroshi Tsuda

826 total citations
50 papers, 593 citations indexed

About

Hiroshi Tsuda is a scholar working on Automotive Engineering, Artificial Intelligence and Transportation. According to data from OpenAlex, Hiroshi Tsuda has authored 50 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Automotive Engineering, 12 papers in Artificial Intelligence and 11 papers in Transportation. Recurrent topics in Hiroshi Tsuda's work include Transportation Planning and Optimization (10 papers), Transportation and Mobility Innovations (9 papers) and Vehicle Routing Optimization Methods (9 papers). Hiroshi Tsuda is often cited by papers focused on Transportation Planning and Optimization (10 papers), Transportation and Mobility Innovations (9 papers) and Vehicle Routing Optimization Methods (9 papers). Hiroshi Tsuda collaborates with scholars based in Japan, Slovakia and Hungary. Hiroshi Tsuda's co-authors include Y. Koike, T. Sasabayashi, Akitsu Takeda, Katsufumi Ohmuro, Kenji Okamoto, Toru Sasaki, Hideki Katagiri, Hiroe Tsubaki, Takashi Hasuike and Kosuke Kato and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and International Journal of Hospitality Management.

In The Last Decade

Hiroshi Tsuda

43 papers receiving 535 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hiroshi Tsuda Japan	12	302	182	181	63	62	50	593
Dosam Hwang South Korea	17	183 0.6×	95 0.5×	164 0.9×	86 1.4×	125 2.0×	119	1.2k
Shanshan Huang China	17	124 0.4×	98 0.5×	43 0.2×	53 0.8×	43 0.7×	60	678
Ruozhou Yu United States	18	72 0.2×	315 1.7×	136 0.8×	87 1.4×	67 1.1×	81	1.3k
Xihua Li China	16	280 0.9×	132 0.7×	142 0.8×	251 4.0×	37 0.6×	76	903
Qin Liu China	14	110 0.4×	459 2.5×	119 0.7×	85 1.3×	18 0.3×	42	762
Farzana Kabir Ahmad South Korea	16	383 1.3×	185 1.0×	189 1.0×	109 1.7×	56 0.9×	82	793
Mudrik Alaydrus Indonesia	15	177 0.6×	464 2.5×	33 0.2×	95 1.5×	32 0.5×	185	878
Biao Qin China	18	126 0.4×	307 1.7×	62 0.3×	453 7.2×	24 0.4×	67	986
Ruifan Li China	18	47 0.2×	53 0.3×	45 0.2×	29 0.5×	39 0.6×	61	1.4k
Zijian Shi China	10	64 0.2×	82 0.5×	174 1.0×	19 0.3×	41 0.7×	23	437

Countries citing papers authored by Hiroshi Tsuda

Since Specialization

Citations

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

Fields of papers citing papers by Hiroshi Tsuda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Tsuda

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

All Works

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20 of 20 papers shown

Tsuda, Hiroshi, et al.. (2023). Empirical Analysis of People Flow in Saga Arashiyama Area in Kyoto City Using the Location Registration Information. 192. 221–227.

Hasuike, Takashi, Hideki Katagiri, & Hiroshi Tsuda. (2017). Objective measurement for attractiveness of sightseeing spots under minimization of maximum error among pairwise comparisons. 549–553. 1 indexed citations

Hasuike, Takashi, Hideki Katagiri, Hiroe Tsubaki, & Hiroshi Tsuda. (2014). Flexible Route Planning for Sightseeing with Fuzzy Random and Fatigue-Dependent Satisfactions. Journal of Advanced Computational Intelligence and Intelligent Informatics. 18(2). 190–196. 11 indexed citations

Hasuike, Takashi, Hideki Katagiri, Hiroe Tsubaki, & Hiroshi Tsuda. (2014). Route planning problem with groups of sightseeing sites classified by tourist's sensitivity under Time-Expanded Network. 188–193. 3 indexed citations

Itoh, Kouichi, et al.. (2014). New Privacy-Preserving Method for Matching Location Data. 5644. 594–599. 2 indexed citations

Katagiri, Hideki, Takeshi Uno, Kosuke Kato, Hiroshi Tsuda, & Hiroe Tsubaki. (2013). An interactive multiobjective programming approach to tour route planning problems. 7. 167–171. 1 indexed citations

Hasuike, Takashi, Hiroe Tsubaki, Hideki Katagiri, & Hiroshi Tsuda. (2013). A Flexible Tour Route Planning Problem with Time-Dependent Parameters Considering Rescheduling Based on Current Conditions. 14. 2091–2096. 3 indexed citations

Tsuda, Hiroshi, et al.. (2012). System Trading of Diversified Investment by Hybrid Method of GP and GA. Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications. 2012(0). 271–274.

Tsuda, Hiroshi, et al.. (2012). Inter-Cloud Data Security for Secure Cloud-Based Business Collaborations. 3 indexed citations

10.

Hasuike, Takashi, Hideki Katagiri, Hiroe Tsubaki, & Hiroshi Tsuda. (2012). Constructing membership function based on fuzzy shannon entropy and human's interval estimation. Zenodo (CERN European Organization for Nuclear Research). 1–6. 6 indexed citations

11.

Hasuike, Takashi, Hiroe Tsubaki, Hideki Katagiri, & Hiroshi Tsuda. (2012). Versatile route planning for sightseeing with tourist's satisfaction dependent on fatigue degree. 61. 146–151. 4 indexed citations

12.

Katayama, Yoshinori, et al.. (2011). Data Masking and Traceability for Inter-Cloud Data Security. IEICE Technical Report; IEICE Tech. Rep.. 110(373). 65–70. 1 indexed citations

13.

Tsuda, Hiroshi, et al.. (2010). Data Loss Prevention Technologies. 46(1). 47–55. 11 indexed citations

14.

Yamane, Yasuo, et al.. (2004). A Semantic Category Matching Approach to Ontology Alignment.. 9 indexed citations

15.

Tsuda, Hiroshi. (2003). Prediction of Individual Bond Prices via a Dynamic Bond Pricing Model: Application to Japanese Government Bond Price Data. Asia-Pacific Financial Markets. 10(1). 59–85. 3 indexed citations

16.

Kariya, Takeaki & Hiroshi Tsuda. (2000). CB – Time Dependent Markov Model for Pricing Convertible Bonds. Asia-Pacific Financial Markets. 7(3). 239–259. 2 indexed citations

17.

Tsuda, Hiroshi. (1994). cu-Prolog for Constraint-Based Natural Language Processing (Special Issue on Natural Language Processing and Understanding). IEICE Transactions on Information and Systems. 77(2). 171–180.

18.

Kariya, Takeaki & Hiroshi Tsuda. (1994). New bond pricing models with applications to Japanese data. Asia-Pacific Financial Markets. 1(1). 1–20. 5 indexed citations

19.

Tsuda, Hiroshi, et al.. (1984). Development and Actual Use of 275 kV Low-Loss Self-Contained Oil-Filled Cables with Laminated Paper Insulation. IEEE Power Engineering Review. PER-4(4). 28–30.

20.

Kurosawa, Y., et al.. (1980). Vacuum Circuit Breaker Electrode Generating Multi-Pole Axial Magnetic Field and its Interruption Ability. IEEE Transactions on Power Apparatus and Systems. PAS-99(6). 2079–2085. 22 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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