Shunsuke Saruwatari

728 citations
100 papers · 444 indexed · h-index 11

Shunsuke Saruwatari

84 papers receiving 432 citations

Peers

Shunsuke Saruwatari
Comparison fields: 5 of 55
  • Computer Networks and Communications 228
  • Electrical and Electronic Engineering 261
  • Computer Vision and Pattern Recognition 70
  • Signal Processing 36
  • Computer Science Applications 16
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Countries citing papers authored by Shunsuke Saruwatari

Since Specialization
Citations

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

Fields of papers citing papers by Shunsuke Saruwatari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Shunsuke Saruwatari, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shunsuke Saruwatari Line = papers co-authored together Shunsuke Saruwatari links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20231
4 20231
5 20234
6 20226
7 20225
8 20220
9 20218
10 202021
11 20205
12 20165
13
Discussions on trade-offs in data aggregation in wireless sensor networks.
20141
14
A Multi-Channel Bulk Data Collection Protocol for Structural Health Monitoring Using Wireless Sensor Networks
20130
15 201110
16
Evaluation of a wake-up wireless module with Bloom-filter-based ID matching
20106
17
High-Fidelity Synchronized Sampling on Wireless Sensor Networks for Earthquake Monitoring
20091
18
B-20-46 A Stochastic Scheme to Balance Energy Saving and Response Time of Electronic Devices
20091
19
Implementation and Evaluation of Earthquake Monitoring System Using Wireless Sensor Networks
20081
20
U1-chip: A Simple Wireless Communication Module for Local Service Discovery (日韓合同ワークショップ 1st Korea-Japan Joint Workshop on Ubiquitous Computing and Networking Systems (ubiCNS 2005))
20050

About Shunsuke Saruwatari

Shunsuke Saruwatari is a scholar working on Computer Networks and Communications, Signal Processing and Computer Vision and Pattern Recognition, having authored 100 papers that have together received 444 indexed citations. Recurring topics across this work include Energy Harvesting in Wireless Networks (24 papers), Energy Efficient Wireless Sensor Networks (19 papers), Indoor and Outdoor Localization Technologies (15 papers), Full-Duplex Wireless Communications (14 papers), Image and Video Quality Assessment (13 papers), Video Coding and Compression Technologies (9 papers), Advanced MIMO Systems Optimization (9 papers) and Wireless Networks and Protocols (8 papers). The work is most often cited by research in Computer Networks and Communications (228 citations), Electrical and Electronic Engineering (261 citations) and Computer Vision and Pattern Recognition (70 citations). Shunsuke Saruwatari has collaborated with scholars based in Japan, Bangladesh and United States. Frequent co-authors include Takashi Watanabe, Hiroyuki Morikawa, Narito Kurata, Makoto Suzuki, Takuya Fujihashi, Hiroyuki Morikawa, Jun Oshima, Ritsuko Oshima, Masateru Minami and Tomoki Murakami. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and IEEE Access.

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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