Masashi Miwa

45 total papers · 1.6k total citations
24 papers, 1.4k citations indexed

About

Masashi Miwa is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering and Civil and Structural Engineering. According to data from OpenAlex, Masashi Miwa has authored 24 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Mechanical Engineering, 13 papers in Industrial and Manufacturing Engineering and 7 papers in Civil and Structural Engineering. Recurrent topics in Masashi Miwa's work include Railway Systems and Energy Efficiency (13 papers), Railway Engineering and Dynamics (13 papers) and Transport and Economic Policies (5 papers). Masashi Miwa is often cited by papers focused on Railway Systems and Energy Efficiency (13 papers), Railway Engineering and Dynamics (13 papers) and Transport and Economic Policies (5 papers). Masashi Miwa collaborates with scholars based in Japan. Masashi Miwa's co-authors include Akira Nakajima, Toshiya Watanabe, Akira Fujishima, Kazuhito Hashimoto, Tatsuo Oyama, Hirofumi Tanaka, Yoshinori Fujikawa, Yasushi Enokido, Tatsuya Ishikawa and Yuzo OHNISHI and has published in prestigious journals such as SHILAP Revista de lepidopterología, Langmuir and MATERIALS TRANSACTIONS.

In The Last Decade

Masashi Miwa

19 papers receiving 1.3k citations

Hit Papers

Effects of the Surface Ro... 2000 2026 2008 2017 2000 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Masashi Miwa 898 373 372 281 271 24 1.4k
Jing Sun 720 0.8× 409 1.1× 330 0.9× 320 1.1× 178 0.7× 60 1.2k
Chuanzong Li 841 0.9× 514 1.4× 278 0.7× 277 1.0× 421 1.6× 36 1.3k
Dalton F. Cheng 859 1.0× 411 1.1× 366 1.0× 161 0.6× 174 0.6× 19 1.1k
Hamed Vahabi 950 1.1× 432 1.2× 235 0.6× 290 1.0× 407 1.5× 21 1.3k
Lei Feng 732 0.8× 633 1.7× 322 0.9× 334 1.2× 135 0.5× 40 1.3k
Quanshui Zheng 454 0.5× 365 1.0× 390 1.0× 247 0.9× 212 0.8× 24 1.4k
C.N. Catherine Lam 556 0.6× 271 0.7× 284 0.8× 244 0.9× 174 0.6× 23 1.1k
Chaoyi Peng 1.2k 1.3× 550 1.5× 460 1.2× 247 0.9× 202 0.7× 36 1.7k
Rosa Di Mundo 758 0.8× 434 1.2× 403 1.1× 356 1.3× 218 0.8× 47 1.5k
Chen Chen 709 0.8× 534 1.4× 188 0.5× 447 1.6× 194 0.7× 38 1.4k

Countries citing papers authored by Masashi Miwa

Since Specialization
Citations

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

Fields of papers citing papers by Masashi Miwa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masashi Miwa

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

All Works

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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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