Masashi Sugano

108 total papers · 777 total citations
64 papers, 550 citations indexed

About

Masashi Sugano is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Masashi Sugano has authored 64 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Computer Networks and Communications, 31 papers in Electrical and Electronic Engineering and 7 papers in Biomedical Engineering. Recurrent topics in Masashi Sugano's work include Energy Efficient Wireless Sensor Networks (26 papers), Mobile Ad Hoc Networks (19 papers) and Network Traffic and Congestion Control (10 papers). Masashi Sugano is often cited by papers focused on Energy Efficient Wireless Sensor Networks (26 papers), Mobile Ad Hoc Networks (19 papers) and Network Traffic and Congestion Control (10 papers). Masashi Sugano collaborates with scholars based in Japan, Russia and South Korea. Masashi Sugano's co-authors include Masayuki Murata, Hideo Miyahara, Takayuki Yamamoto, Yoshikazu Fukuyama, Yasuo Naitoh, Yukie Yoshida, Toshinori Araki, Rika Hirano, Naomi Aiba and Naoki Wakamiya and has published in prestigious journals such as Sensors, Computer Communications and EURASIP Journal on Wireless Communications and Networking.

In The Last Decade

Masashi Sugano

56 papers receiving 505 citations

Author Peers

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

Author Last Decade Papers Cites
Masashi Sugano 387 374 125 53 37 64 550
Ž. Čučej 235 0.6× 257 0.7× 82 0.7× 68 1.3× 21 0.6× 58 448
Jian Chen 194 0.5× 327 0.9× 104 0.8× 118 2.2× 32 0.9× 51 480
Myong-Soon Park 374 1.0× 344 0.9× 130 1.0× 50 0.9× 27 0.7× 59 588
Xingfa Shen 282 0.7× 246 0.7× 59 0.5× 44 0.8× 24 0.6× 68 541
Hüseyin Uğur Yıldız 457 1.2× 376 1.0× 149 1.2× 25 0.5× 33 0.9× 36 582
George Sklivanitis 164 0.4× 347 0.9× 269 2.2× 57 1.1× 21 0.6× 55 487
Min Yu 176 0.5× 299 0.8× 92 0.7× 149 2.8× 44 1.2× 61 502
Stefan Dulman 444 1.1× 220 0.6× 52 0.4× 16 0.3× 14 0.4× 49 525
Yuhan Su 240 0.6× 312 0.8× 60 0.5× 86 1.6× 36 1.0× 37 452
Seong Ro Lee 211 0.5× 293 0.8× 54 0.4× 103 1.9× 25 0.7× 100 559

Countries citing papers authored by Masashi Sugano

Since Specialization
Citations

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

Fields of papers citing papers by Masashi Sugano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masashi Sugano

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