Masahiro Sasabe

151 total papers · 783 total citations
74 papers, 506 citations indexed

About

Masahiro Sasabe is a scholar working on Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Masahiro Sasabe has authored 74 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Computer Networks and Communications, 17 papers in Information Systems and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Masahiro Sasabe's work include Peer-to-Peer Network Technologies (19 papers), Caching and Content Delivery (19 papers) and Opportunistic and Delay-Tolerant Networks (18 papers). Masahiro Sasabe is often cited by papers focused on Peer-to-Peer Network Technologies (19 papers), Caching and Content Delivery (19 papers) and Opportunistic and Delay-Tolerant Networks (18 papers). Masahiro Sasabe collaborates with scholars based in Japan, China and Thailand. Masahiro Sasabe's co-authors include Shoji Kasahara, Yuanyu Zhang, Naoki Wakamiya, Masayuki Murata, Tetsuya Takine, Jun Kawahara, Go Hasegawa, Hideo Miyahara, Kentaro Fujita and Yuzo Taenaka and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, Sensors and IEEE Internet of Things Journal.

In The Last Decade

Masahiro Sasabe

65 papers receiving 486 citations

Author Peers

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

Author						Papers	Cites
Masahiro Sasabe	306	219	158	57	56	74	506
Huanyang Zheng	305 1.0×	168 0.8×	120 0.8×	121 2.1×	72 1.3×	47	537
Xuewen Dong	227 0.7×	310 1.4×	231 1.5×	72 1.3×	48 0.9×	69	538
Peter Foytik	179 0.6×	305 1.4×	92 0.6×	22 0.4×	42 0.8×	42	465
Eugenio Zimeo	331 1.1×	233 1.1×	157 1.0×	118 2.1×	21 0.4×	84	586
Adwitiya Sinha	161 0.5×	94 0.4×	110 0.7×	78 1.4×	64 1.1×	59	466
Chhabi Rani Panigrahi	311 1.0×	203 0.9×	113 0.7×	130 2.3×	45 0.8×	72	609
Uwe Glässer	109 0.4×	119 0.5×	221 1.4×	39 0.7×	124 2.2×	61	607
Benoît Garbinato	407 1.3×	112 0.5×	94 0.6×	63 1.1×	27 0.5×	83	533
Mingyuan Yan	203 0.7×	81 0.4×	155 1.0×	76 1.3×	66 1.2×	32	486
Yaguang Lin	170 0.6×	109 0.5×	95 0.6×	48 0.8×	95 1.7×	34	488

Countries citing papers authored by Masahiro Sasabe

Since Specialization

Citations

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

Fields of papers citing papers by Masahiro Sasabe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masahiro Sasabe

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