Masaru Nakano

1.3k total citations
91 papers, 854 citations indexed

About

Masaru Nakano is a scholar working on Industrial and Manufacturing Engineering, Electrical and Electronic Engineering and Management Science and Operations Research. According to data from OpenAlex, Masaru Nakano has authored 91 papers receiving a total of 854 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Industrial and Manufacturing Engineering, 17 papers in Electrical and Electronic Engineering and 16 papers in Management Science and Operations Research. Recurrent topics in Masaru Nakano's work include Scheduling and Optimization Algorithms (15 papers), Electric Vehicles and Infrastructure (10 papers) and Vehicle emissions and performance (10 papers). Masaru Nakano is often cited by papers focused on Scheduling and Optimization Algorithms (15 papers), Electric Vehicles and Infrastructure (10 papers) and Vehicle emissions and performance (10 papers). Masaru Nakano collaborates with scholars based in Japan, Switzerland and United States. Masaru Nakano's co-authors include Christoph Roser, Makoto Tanaka, Minoru Tanaka, Mélanie Despeisse, Gregor von Cieminski, Dimitris Kiritsis, Shigeki Umeda, Hajime Mizuyama, Minoru Tanaka and Takanori Kanai∥ and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and Journal of Cleaner Production.

In The Last Decade

Masaru Nakano

81 papers receiving 797 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masaru Nakano Japan 15 336 134 120 113 94 91 854
Jun Hee Park South Korea 12 706 2.1× 18 0.1× 149 1.2× 59 0.5× 189 2.0× 44 1.4k
Yongping Zhang China 19 509 1.5× 36 0.3× 118 1.0× 71 0.6× 111 1.2× 88 1.3k
Cheng‐Hung Wu Taiwan 18 287 0.9× 68 0.5× 184 1.5× 65 0.6× 61 0.6× 61 828
Chun Zhao China 19 532 1.6× 30 0.2× 70 0.6× 268 2.4× 68 0.7× 107 1.4k
Xiaolin Wang China 24 51 0.2× 35 0.3× 112 0.9× 21 0.2× 98 1.0× 66 1.4k
Yujie Xiao China 17 187 0.6× 28 0.2× 102 0.8× 143 1.3× 131 1.4× 51 781
Xingyu Tao China 18 153 0.5× 117 0.9× 71 0.6× 25 0.2× 103 1.1× 69 1.0k
Joseph C. Hartman United States 20 128 0.4× 123 0.9× 199 1.7× 61 0.5× 221 2.4× 71 1.1k
Zixian Liu China 24 45 0.1× 27 0.2× 43 0.4× 237 2.1× 49 0.5× 96 1.3k

Countries citing papers authored by Masaru Nakano

Since Specialization
Citations

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

Fields of papers citing papers by Masaru Nakano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaru Nakano

This figure shows the co-authorship network connecting the top 25 collaborators of Masaru Nakano. A scholar is included among the top collaborators of Masaru Nakano 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 Masaru Nakano. Masaru Nakano 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.
Nakano, Masaru, et al.. (2022). Integrating work engagement in leader identity development: Proposed method and statistical validation. 14(1). 73–85. 1 indexed citations
2.
Nakano, Masaru, et al.. (2018). Low viscosity lubricant contribution to reduce life cycle CO2 emissions on passenger vehicle. 63(8). 563–572. 1 indexed citations
3.
Nakano, Masaru, et al.. (2018). Forecasting Life Cycle CO2Emissions of Electrified Vehicles by 2030 Considering Japan’s Energy Mix. International Journal of Automation Technology. 12(6). 806–813. 4 indexed citations
4.
Nakano, Masaru, et al.. (2018). A Model for Effective Area of Hybrid Approach Combining Agile and Plan-Driven Methods in IT Project. Medical Entomology and Zoology. 13(1). 52–70. 1 indexed citations
5.
Nakano, Masaru, et al.. (2015). An Analysis of Managing Sustainable Competitiveness for Semiconductor Manufacturers. SHILAP Revista de lepidopterología. 1 indexed citations
6.
Umeda, Shigeki, Masaru Nakano, Hajime Mizuyama, et al.. (2015). Advances in Production Management Systems: Innovative Production Management Towards Sustainable Growth IFIP WG 5.7 International Conference, APMS. Springer eBooks. 1 indexed citations
7.
Despeisse, Mélanie, et al.. (2015). Towards a Circular Economy for End-of-Life Vehicles: A Comparative Study UK – Japan. Chalmers Research (Chalmers University of Technology). 29. 668–673. 59 indexed citations
8.
Horiuchi, Shigeki, Yoshihisa Iio, Youichiro Takada, et al.. (2014). Automatic arrival time picking compared to manual picking (6). Japan Geoscience Union.
9.
Nakano, Masaru, et al.. (2013). LCCO2 Analysis and Requirements Analysis of Green Sustainable Policies of Global Production. TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C. 79(798). 408–417. 2 indexed citations
10.
Nakano, Masaru, et al.. (2012). A Nonlinear Growth Analysis of Integrated Device Manufacturers' Evolution to the Nanotechnology Manufacturing Outsourcing. SHILAP Revista de lepidopterología. 1 indexed citations
11.
Nakano, Masaru, et al.. (2012). The display on food product influencing the reduction of the amount of food waste. Journal for the Integrated Study of Dietary Habits. 23(3). 166–173. 2 indexed citations
12.
Nakano, Masaru & Yoshifumi Nishio. (2007). A Method of Edge Detection Using Small World Cellular Neural Network. IEICE Technical Report; IEICE Tech. Rep.. 107(86). 13–16. 2 indexed citations
13.
Nakano, Masaru, et al.. (2007). NAVIGATION OF COLLABORATIVE MANUFACTURING SYSTEM DESIGN BASED ON DPIO-MODEL. 9(6). 28–33. 1 indexed citations
14.
Roser, Christoph, Masaru Nakano, & Makoto Tanaka. (2004). Comparison of bottleneck detection methods for AGV systems. 1192–1198. 45 indexed citations
15.
Roser, Christoph, Masaru Nakano, & Makoto Tanaka. (2004). Buffer allocation model based on a single simulation. 43. 1238–1246. 15 indexed citations
16.
Roser, Christoph, Masaru Nakano, & Minoru Tanaka. (2003). Simulation test bed for manufacturing analysis: comparison of bottleneck detection methods for AGV systems. Winter Simulation Conference. 1192–1198. 9 indexed citations
17.
Roser, Christoph, Masaru Nakano, & Minoru Tanaka. (2003). Manufacturing analysis and control: buffer allocation model based on a single simulation. Winter Simulation Conference. 1238–1246. 6 indexed citations
18.
Roser, Christoph, Masaru Nakano, & Minoru Tanaka. (2002). 2-A-4 DETECTING SHIFTING BOTTLENECKS. 2002. 59–62. 7 indexed citations
19.
Nakano, Masaru, Shūichi Satō, & Eiji Arai. (2002). Collaborative Design Supporting System for Manufacturing Systems.. JSME International Journal Series C. 45(2). 575–580. 1 indexed citations
20.
Kuriyama, Manabu, et al.. (1996). Serum Prostate‐Specific Antigen Values for the Prediction of Clinical Stage and Prognosis in Patients with Prostate Cancer: An Analysis of 749 Cases. International Journal of Urology. 3(6). 462–467. 7 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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