Junichi MEGURO

871 citations
56 papers · 661 indexed · h-index 12
Topics
Robotics and Sensor-Based Localization (30 papers)Indoor and Outdoor Localization Technologies (11 papers)Autonomous Vehicle Technology and Safety (11 papers)
Journals
SHILAP Revista de lepidopterologíaSensorsThe International Journal of Robotics Research

In The Last Decade

Junichi MEGURO

44 papers receiving 615 citations

Peers

Junichi MEGURO
Comparison fields: 5 of 54
  • Aerospace Engineering 433
  • Electrical and Electronic Engineering 239
  • Computer Vision and Pattern Recognition 197
  • Automotive Engineering 128
  • Environmental Engineering 105
Replace Matthew Gadd with:
Matthew Gadd United Kingdom
Xiwei Bai Hong Kong
Ryan W. Wolcott United States
Albert S. Huang United States
Henning Lategahn Germany
Ehsan Javanmardi Japan
Guang-Je Tsai Taiwan
Yonghoon Ji Japan
Damien Vivet France
Naoki Suganuma Japan
Junichi MEGURO relative to Matthew Gadd United Kingdom Matthew Gadd's profile →
Citations per field
00.5×10×20×30×38×
Matthew Gadd · 1×
Citations per year

Countries citing papers authored by Junichi MEGURO

Since Specialization
Citations

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

Fields of papers citing papers by Junichi MEGURO

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junichi MEGURO

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 2
4 4
5 87
6 0
7 48
8 25
9 3
10
Development of a Novel Integrated Positioning System “PRECISE” for ADAS Applications
1
11
Automotive positioning based on bundle adjustment of GPS raw data and vehicle trajectory
6
12 167
13 7
14 0
15 0
16 10
17 1
18 0
19 6
20 1

About Junichi MEGURO

Junichi MEGURO is a scholar working on Aerospace Engineering, Automotive Engineering and Computer Vision and Pattern Recognition, having authored 56 papers that have together received 661 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (30 papers), Indoor and Outdoor Localization Technologies (11 papers) and Autonomous Vehicle Technology and Safety (11 papers). The work is most often cited by research in Aerospace Engineering (433 citations), Geology (61 citations) and Automotive Engineering (128 citations). Junichi MEGURO has collaborated with scholars based in Japan, Switzerland and United States. Frequent co-authors include Yoshiharu AMANO, Tsutomu HASHIZUME, Yoshiko Kojima, Chunzhao Guo, Takashi Naito, Taro Suzuki, Nobuaki Kubo, Zhizhao Liu, Takumi HASHIZUME and Weisong Wen. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and The International Journal of Robotics Research.

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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