Junichi MEGURO

882 citations
56 papers · 675 · h-index 12

Impact in

    • Robotics and Sensor-Based Localization
    • GNSS positioning and interference
    • Inertial Sensor and Navigation
  • Geology top 10%

Papers in

Junichi MEGURO

45 papers receiving 628 citations

Peers

Junichi MEGURO
Comparison fields: 5 of 55
  • Aerospace Engineering 438
  • Geology 62
  • Automotive Engineering 128
  • Computer Vision and Pattern Recognition 200
  • Environmental Engineering 106
Replace Xiwei Bai with:
Xiwei Bai Hong Kong
Matthew Gadd United Kingdom
Ryan W. Wolcott United States
Albert S. Huang United States
Henning Lategahn Germany
Ehsan Javanmardi Japan
Guang-Je Tsai Taiwan
Yonghoon Ji Japan
Alireza Asvadi Portugal
Damien Vivet France
Junichi MEGURO relative to Xiwei Bai Hong Kong Xiwei Bai's profile →
Citations per field
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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-authors

The 25 scholars most cited alongside Junichi MEGURO, 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 Junichi MEGURO Line = papers co-authored together Junichi MEGURO links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009169
2 202194
3 201649
4 201445
5 200632
6 200831
7 200727
8 201425
9 200815
10 200713
11 201213
12 200812
13 200711
14 201810
15 200610
16 200510
17 20139
18 20069
19 20147
20 20087

About Junichi MEGURO

Junichi MEGURO is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Automotive Engineering, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 56 papers that have together received 675 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (30 papers), Autonomous Vehicle Technology and Safety (11 papers), Indoor and Outdoor Localization Technologies (11 papers), Robotic Path Planning Algorithms (9 papers), Robotics and Automated Systems (8 papers), Remote Sensing and LiDAR Applications (8 papers), Inertial Sensor and Navigation (8 papers) and GNSS positioning and interference (7 papers). The work is most often cited by research in Aerospace Engineering (438 citations), Geology (62 citations), Automotive Engineering (128 citations), Computer Vision and Pattern Recognition (200 citations) and Environmental Engineering (106 citations). Junichi MEGURO has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Yoshiharu AMANO, Tsutomu HASHIZUME, Yoshiko Kojima, Chunzhao Guo, Takashi Naito, Taro Suzuki, Nobuaki Kubo, Zhizhao Liu, Wu Chen and Weisong Wen. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Sensors, Advanced Robotics, The International Journal of Robotics Research and Journal of Robotics and Mechatronics.

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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