Masakazu Soshi

1.0k citations
53 papers · 546 indexed · h-index 13
Topics
Advanced machining processes and optimization (21 papers)Additive Manufacturing Materials and Processes (13 papers)Additive Manufacturing and 3D Printing Technologies (10 papers)

In The Last Decade

Masakazu Soshi

48 papers receiving 520 citations

Peers

Masakazu Soshi
Comparison fields: 5 of 54
  • Mechanical Engineering 360
  • Automotive Engineering 125
  • Artificial Intelligence 110
  • Biomedical Engineering 94
  • Industrial and Manufacturing Engineering 91
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Citations per field
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Citations per year

Countries citing papers authored by Masakazu Soshi

Since Specialization
Citations

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

Fields of papers citing papers by Masakazu Soshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masakazu Soshi

This figure shows the co-authorship network connecting the top 25 collaborators of Masakazu Soshi. A scholar is included among the top collaborators of Masakazu Soshi 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 Masakazu Soshi. Masakazu Soshi 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
#WorkIndexed citations
1 0
2 0
3 1
4 7
5 24
6 10
7 9
8 38
9 4
10 34
11 2
12 11
13
Consideration for multi-threshold multi-secret sharing schemes
2
14 1
15 3
16 8
17 1
18
The Dynamic-Typed Access Matrix Model and Decidability of the Safety Problem
7
19
Software Obfuscation on a Theoretical Basis and Its Implementation
51
20
A New Authorization Model and its Mechanism Using Service Paths in Open Distributed Environments.
1

About Masakazu Soshi

Masakazu Soshi is a scholar working on Mechanical Engineering, Automotive Engineering and Industrial and Manufacturing Engineering, having authored 53 papers that have together received 546 indexed citations. Recurring topics across this work include Advanced machining processes and optimization (21 papers), Additive Manufacturing Materials and Processes (13 papers) and Additive Manufacturing and 3D Printing Technologies (10 papers). The work is most often cited by research in Automotive Engineering (125 citations), Mechanical Engineering (360 citations) and Industrial and Manufacturing Engineering (91 citations). Masakazu Soshi has collaborated with scholars based in United States, Japan and Austria. Frequent co-authors include Kazuo Yamazaki, Atsuko Miyaji, Wei Li, M. Mori, Geng Li, Kazumasa Omote, Keita Emura, Yohei Oda, Xianbing Liu and Weijun Zhang. Their work appears in journals such as CIRP Annals, Materials Letters and The International Journal of Advanced Manufacturing Technology.

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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