Makoto Fujishima

1.8k total citations · 1 hit paper
59 papers, 1.4k citations indexed

About

Makoto Fujishima is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Makoto Fujishima has authored 59 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Mechanical Engineering, 23 papers in Industrial and Manufacturing Engineering and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Makoto Fujishima's work include Advanced machining processes and optimization (27 papers), Manufacturing Process and Optimization (17 papers) and Additive Manufacturing Materials and Processes (12 papers). Makoto Fujishima is often cited by papers focused on Advanced machining processes and optimization (27 papers), Manufacturing Process and Optimization (17 papers) and Additive Manufacturing Materials and Processes (12 papers). Makoto Fujishima collaborates with scholars based in Japan, United States and Slovenia. Makoto Fujishima's co-authors include M. Mori, Yohei Oda, Kazuo Yamazaki, Edvard Govekar, Gideon Levy, Yadong Liu, Masaki Kondo, Yadong Liu, Yasuhiro Kakinuma and J. Ketelaer and has published in prestigious journals such as Water Resources Research, Journal of Materials Processing Technology and CIRP Annals.

In The Last Decade

Makoto Fujishima

55 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A study on energy efficiency improvement for machine tools

2011 405 citations M. Mori, Makoto Fujishima et al. CIRP Annals profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Makoto Fujishima Japan	20	834	659	395	332	176	59	1.4k
Matthias Weigold Germany	15	506 0.6×	345 0.5×	125 0.3×	252 0.8×	99 0.6×	138	1.1k
R. Saravanan India	24	728 0.9×	716 1.1×	49 0.1×	351 1.1×	78 0.4×	66	1.6k
Marc-André Dittrich Germany	17	474 0.6×	438 0.7×	79 0.2×	120 0.4×	96 0.5×	77	859
Hakkı Özgür Ünver Türkiye	18	675 0.8×	411 0.6×	162 0.4×	428 1.3×	23 0.1×	43	1.1k
Ian Stroud Switzerland	16	325 0.4×	477 0.7×	86 0.2×	68 0.2×	159 0.9×	34	800
Ahmed Chebak Morocco	19	352 0.4×	129 0.2×	249 0.6×	568 1.7×	154 0.9×	123	1.3k
Yan Lu United States	22	808 1.0×	844 1.3×	42 0.1×	206 0.6×	682 3.9×	65	1.8k
Jürgen Hesselbach Germany	16	261 0.3×	262 0.4×	151 0.4×	95 0.3×	50 0.3×	55	890
Ramón Quiza Cuba	17	639 0.8×	342 0.5×	42 0.1×	427 1.3×	52 0.3×	36	1.0k

Countries citing papers authored by Makoto Fujishima

Since Specialization

Citations

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

Fields of papers citing papers by Makoto Fujishima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Fujishima

This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Fujishima. A scholar is included among the top collaborators of Makoto Fujishima 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 Makoto Fujishima. Makoto Fujishima 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

Fujishima, Makoto, et al.. (2025). Informed Neural Networks for Flood Forecasting With Limited Amount of Training Data. Water Resources Research. 61(3). 1 indexed citations

Kozjek, Dominik, et al.. (2024). Machine learning guided adaptive laser power control in selective laser melting for pore reduction. CIRP Annals. 73(1). 149–152. 5 indexed citations

Kozjek, Dominik, et al.. (2023). Melt pool instability detection using coaxial photodiode system validated by in-situ X-ray imaging. CIRP Annals. 72(1). 205–208. 9 indexed citations

Fujishima, Makoto, et al.. (2021). High-accuracy pose estimation method for workpiece exchange automation by a mobile manipulator. CIRP Annals. 70(1). 357–360. 5 indexed citations

Fujishima, Makoto, et al.. (2018). Thermal displacement reduction and compensation of a turning center. CIRP journal of manufacturing science and technology. 22. 111–115. 20 indexed citations

Fujishima, Makoto, et al.. (2017). Study on factors for pores and cladding shape in the deposition processes of Inconel 625 by the directed energy deposition (DED) method. CIRP journal of manufacturing science and technology. 19. 200–204. 58 indexed citations

Fujishima, Makoto, et al.. (2017). Reducing the Energy Consumption of Machine Tools. International Journal of Automation Technology. 11(4). 601–607. 9 indexed citations

Oda, Yohei, Makoto Fujishima, & Yoshimi TAKEUCHI. (2015). Energy-Saving Machining of Multi-Functional Machine Tools. International Journal of Automation Technology. 9(2). 135–142. 5 indexed citations

Mori, M. & Makoto Fujishima. (2013). Sustainable Service System for Machine Tools. Procedia CIRP. 11. 8–14. 5 indexed citations

10.

Fujishima, Makoto, et al.. (2010). S1302-2-4 The effects of cutting condition on power consumption of machine tools. The proceedings of the JSME annual meeting. 2010.4(0). 269–270. 2 indexed citations

11.

Mori, M., et al.. (2008). Development of remote monitoring and maintenance system for machine tools. CIRP Annals. 57(1). 433–436. 51 indexed citations

12.

Liu, Yadong, Wei Li, Kazuo Yamazaki, Keizo Kashihara, & Makoto Fujishima. (2008). An event-driven simulation method for motor driver in virtual machine tool system. Journal of Intelligent Manufacturing. 19(2). 241–248.

13.

Yamazaki, Kazuo, et al.. (2007). A study of a universal NC program processor for a CNC system. The International Journal of Advanced Manufacturing Technology. 36(7-8). 738–745. 6 indexed citations

14.

Liu, Yadong, et al.. (2006). An intelligent NC program processor for CNC system of machine tool. Robotics and Computer-Integrated Manufacturing. 23(2). 160–169. 34 indexed citations

15.

KAKINO, Yoshiaki, et al.. (2002). High Speed, High Productive Drilling and Tapping by Intelligent Machine Tools : Prevention of tool breakage and monitoring of tool failure for difficult-to-cut materials. 2002.4(0). 253–254. 1 indexed citations

16.

Fujishima, Makoto, et al.. (2001). Acid-base Imbalance in Calves with Abomasal Bloat. Journal of the Japan Veterinary Medical Association. 54(5). 349–352. 1 indexed citations

17.

Fujishima, Makoto, et al.. (2000). Study on Advanced Drilling by Intelligent Machine Tools. (1st Report). Monitoring of Tool Failure and Improvement of Productivity.. Journal of the Japan Society for Precision Engineering. 66(11). 1792–1796. 8 indexed citations

18.

KAKINO, Yoshiaki, et al.. (2000). A Study on Drilling Process Control by Intelligent Machine Tools. (1st Report). Determination of Cutting Condition for Drilling.. Journal of the Japan Society for Precision Engineering. 66(8). 1270–1274. 2 indexed citations

19.

Fujishima, Makoto, Yoshiaki KAKINO, & Atsushi Matsubara. (2000). Integration of Adaptive Control Functions for Drilling in Intelligent Machine Tools. 2000.2(0). 49–50. 2 indexed citations

20.

Sato, Tomonori, et al.. (2000). HIGH SPEED AND HIGH PRODUCTIVE DRILLING BY INTELLIGENT MACHINE TOOLS - Integration of the cutting conditions planning and adaptive control for drilling -. 3 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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