Koichi MORISHIGE

407 total citations
45 papers, 309 citations indexed

About

Koichi MORISHIGE is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and Computational Mechanics. According to data from OpenAlex, Koichi MORISHIGE has authored 45 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Industrial and Manufacturing Engineering, 21 papers in Mechanical Engineering and 16 papers in Computational Mechanics. Recurrent topics in Koichi MORISHIGE's work include Manufacturing Process and Optimization (29 papers), Advanced Numerical Analysis Techniques (14 papers) and Advanced machining processes and optimization (11 papers). Koichi MORISHIGE is often cited by papers focused on Manufacturing Process and Optimization (29 papers), Advanced Numerical Analysis Techniques (14 papers) and Advanced machining processes and optimization (11 papers). Koichi MORISHIGE collaborates with scholars based in Japan, Greece and Tunisia. Koichi MORISHIGE's co-authors include Yoshimi TAKEUCHI, Kiwamu Kase, Makoto Kaneko, Ken Okamoto, Satoshi Mori, Toru Ishida, Ryosuke Yamamoto, Hiroyuki Narahara and Masahiro Anzai and has published in prestigious journals such as International Journal of Machine Tools and Manufacture, The International Journal of Advanced Manufacturing Technology and Journal of Manufacturing Science and Engineering.

In The Last Decade

Koichi MORISHIGE

33 papers receiving 232 citations

Peers

Koichi MORISHIGE
Cha-Soo Jun South Korea
Yaoan Lu China
Sung-Chong Chung South Korea
B. T. Cheok Singapore
Tulga M. Ozsoy United States
Ranga Narayanaswami United States
Cha-Soo Jun South Korea
Koichi MORISHIGE
Citations per year, relative to Koichi MORISHIGE Koichi MORISHIGE (= 1×) peers Cha-Soo Jun

Countries citing papers authored by Koichi MORISHIGE

Since Specialization
Citations

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

Fields of papers citing papers by Koichi MORISHIGE

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koichi MORISHIGE

This figure shows the co-authorship network connecting the top 25 collaborators of Koichi MORISHIGE. A scholar is included among the top collaborators of Koichi MORISHIGE 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 Koichi MORISHIGE. Koichi MORISHIGE 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.
MORISHIGE, Koichi, et al.. (2024). C-Space-Based Toolpath Generation for Five-Axis Controlled Machining with Special Tools. International Journal of Automation Technology. 18(5). 679–687. 1 indexed citations
2.
MORISHIGE, Koichi, et al.. (2023). Development of Tool Path Interpolation Method for Five-Axis Controlled Machining with Barrel Tools. Journal of the Japan Society for Precision Engineering. 89(11). 850–856. 1 indexed citations
3.
MORISHIGE, Koichi, et al.. (2014). Development of Turning Machine Operation Interface that Uses Haptic Device. International Journal of Automation Technology. 8(3). 445–451. 3 indexed citations
4.
MORISHIGE, Koichi & Makoto Kaneko. (2011). Tool Path Generation for Five-Axis Controlled Machining with Consideration of Motion of Two Rotational Axes. International Journal of Automation Technology. 5(3). 412–419. 10 indexed citations
5.
MORISHIGE, Koichi, et al.. (2009). Path Planning of Industrial Robot Considering Mobility for Cutting Operation. Journal of the Japan Society for Precision Engineering. 75(8). 1010–1014. 1 indexed citations
6.
MORISHIGE, Koichi, et al.. (2009). Polishing Process Automation by Industrial Robots with Polished Surface Quality Judged Based on Imaging Processing. International Journal of Automation Technology. 3(2). 130–135. 4 indexed citations
7.
MORISHIGE, Koichi, et al.. (2008). . Journal of the Japan Society for Precision Engineering. 74(1). 3–6.
8.
MORISHIGE, Koichi, et al.. (2008). Tool Path Generation for Five-Axis Controlled Machining with Consideration of Movable Range of Machine Tool and Tool Attitude Change. Journal of the Japan Society for Precision Engineering. 74(12). 1330–1334. 4 indexed citations
9.
MORISHIGE, Koichi, et al.. (2008). Development of Operation Planning Support System using XML Database of Machining Information. Journal of the Japan Society for Precision Engineering. 74(1). 92–96.
10.
MORISHIGE, Koichi, et al.. (2007). Development of Rough Cutting Method with Plunge Milling Using 5-axis Control Machine Tool. Journal of the Japan Society for Precision Engineering. 73(11). 1261–1266. 1 indexed citations
11.
MORISHIGE, Koichi, et al.. (2006). Optimum Tool Path Generation for 5-Axis Control Machining Considering Change in Tool Attitude for whole of Machining Surface. Seimitsu kougakkaishi rombunshuu/Seimitsu kougakkaishi/Seimitsu Kougakkaishi rombunshuu. 72(5). 652–656. 3 indexed citations
12.
MORISHIGE, Koichi, et al.. (2005). Optimum Tool Path Generation for 5-Axis Control Machining Considering Tool Attitude Change. Seimitsu kougakkaishi rombunshuu/Seimitsu kougakkaishi/Seimitsu Kougakkaishi rombunshuu. 71(5). 639–643. 4 indexed citations
13.
MORISHIGE, Koichi, et al.. (2004). Tool Path Generation for 5-Axis Control Machining by Means of 2-Dimensional Configuration Space. Seimitsu kougakkaishi rombunshuu/Seimitsu kougakkaishi/Seimitsu Kougakkaishi rombunshuu. 70(2). 287–291. 1 indexed citations
14.
MORISHIGE, Koichi, et al.. (2003). Highly Efficient Machining of Character Line Using Five-Axis and Six-Axis Control. Journal of the Japan Society for Precision Engineering. 69(9). 1317–1321. 1 indexed citations
15.
MORISHIGE, Koichi & Yoshimi TAKEUCHI. (2000). Tool Attitude Determination for Five-Axis Control Machining Based on Configuration Space. Consideration of Tool Shape and Safety First Machining Strategy.. Journal of the Japan Society for Precision Engineering. 66(7). 1140–1144. 4 indexed citations
16.
MORISHIGE, Koichi, et al.. (1999). Development of Tool Grinding CAD/CAM System. Extension and Evaluation of System.. Journal of the Japan Society for Precision Engineering. 65(9). 1280–1283. 1 indexed citations
17.
MORISHIGE, Koichi, et al.. (1999). NC Data Generation for Five-axis Control Machining Using Curved Interpolation - Application of Five-dimensional Non-uniform B-spline Curve.. Journal of the Japan Society for Precision Engineering. 65(12). 1740–1744. 3 indexed citations
18.
MORISHIGE, Koichi, et al.. (1998). Development of Tool Grinding CAD/CAM System for Conicoid End Mill.. Journal of the Japan Society for Precision Engineering. 64(10). 1456–1460. 1 indexed citations
19.
MORISHIGE, Koichi, Kiwamu Kase, & Yoshimi TAKEUCHI. (1996). Tool Path Generation Using C-Space for 5-Axis Control Machining.. Journal of the Japan Society for Precision Engineering. 62(12). 1783–1787. 6 indexed citations
20.
TAKEUCHI, Yoshimi, et al.. (1995). 5-Axis Control Machining with Top and Side Cutting Edges of Ball End Mill.. Journal of the Japan Society for Precision Engineering. 61(4). 561–565. 12 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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