Hideki Sunahara

168 total papers · 438 total citations
66 papers, 267 citations indexed

About

Hideki Sunahara is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hideki Sunahara has authored 66 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computer Networks and Communications, 21 papers in Electrical and Electronic Engineering and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hideki Sunahara's work include Peer-to-Peer Network Technologies (15 papers), Network Traffic and Congestion Control (12 papers) and Caching and Content Delivery (9 papers). Hideki Sunahara is often cited by papers focused on Peer-to-Peer Network Technologies (15 papers), Network Traffic and Congestion Control (12 papers) and Caching and Content Delivery (9 papers). Hideki Sunahara collaborates with scholars based in Japan, New Zealand and Canada. Hideki Sunahara's co-authors include Kazutoshi Fujikawa, Jun Murai, Eiji Kawai, Takahiro Hirofuchi, Fumio Teraoka, Hiroshi Esaki, Mario Tokoro, Katsuyoshi Iida, Yuji Oie and Hideya Ochiai and has published in prestigious journals such as Communications of the ACM, IEEE/ACM Transactions on Networking and GPS Solutions.

In The Last Decade

Hideki Sunahara

53 papers receiving 243 citations

Author Peers

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

Author						Papers	Cites
Hideki Sunahara	199	88	55	48	27	66	267
Yi Liu	249 1.3×	86 1.0×	85 1.5×	41 0.9×	22 0.8×	44	303
Cheol-Hoon Lee	168 0.8×	55 0.6×	69 1.3×	115 2.4×	43 1.6×	60	307
Bettina Schnor	221 1.1×	51 0.6×	86 1.6×	84 1.8×	27 1.0×	68	287
Whai‐En Chen	213 1.1×	186 2.1×	29 0.5×	53 1.1×	17 0.6×	45	318
Pradip Kumar Das	139 0.7×	75 0.9×	18 0.3×	39 0.8×	14 0.5×	75	245
Stanisław Deniziak	104 0.5×	66 0.8×	61 1.1×	75 1.6×	32 1.2×	67	276
Paulo Romero Martins Maciel	209 1.1×	66 0.8×	141 2.6×	22 0.5×	20 0.7×	46	315
Jalil Boukhobza	200 1.0×	71 0.8×	77 1.4×	83 1.7×	22 0.8×	46	282
Απόστολος Γκάμας	203 1.0×	186 2.1×	26 0.5×	16 0.3×	43 1.6×	85	329
Ahmed Meddahi	242 1.2×	78 0.9×	55 1.0×	15 0.3×	12 0.4×	39	295

Countries citing papers authored by Hideki Sunahara

Since Specialization

Citations

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

Fields of papers citing papers by Hideki Sunahara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideki Sunahara

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