K. Uchimura

409 citations
16 papers · 333 · h-index 8

Impact in

Papers in

K. Uchimura

16 papers receiving 321 citations

Peers

K. Uchimura
Comparison fields: 5 of 40
  • Automotive Engineering 159
  • Computer Vision and Pattern Recognition 207
  • Transportation 52
  • Aerospace Engineering 105
  • Environmental Engineering 46
Replace Z. J. Chong with:
Z. J. Chong Singapore
Benjamin Ranft Germany
Miguel Ángel de Miguel Spain
Florian Homm Germany
Daniel Goehring Germany
Carlos Guindel Spain
Matthias Goebl Germany
Christophe Blanc France
Ewoud A. I. Pool Netherlands
K. Uchimura relative to Z. J. Chong Singapore Z. J. Chong's profile →
Citations per field
00.5×1.5×
Z. J. Chong · 1×
Citations per year

Countries citing papers authored by K. Uchimura

Since Specialization
Citations

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

Fields of papers citing papers by K. Uchimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside K. Uchimura, 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 K. Uchimura Line = papers co-authored together K. Uchimura links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 200594
2 200268
3 200563
4 200429
5
Fusion of vision, GPS and 3D gyro data in solving camera registration problem for direct visual navigation
200624
6 200215
7 19909
8 20037
9 20025
10 20065
11 20024
12 20033
13
REAL-TIME MULTI MOVING OBJECTS DETECTION AND TRACKING FROM DYNAMICAL ROAD SCENE USING FOE
19992
14
Extinction Critical Curves of Showering Arc in Breaking Contacts at DC Source Voltage Less than 100V
19832
15 20122
16
VEHICLE ROUTING PROBLEM IN PHYSICAL DISTRIBUTION USING GENETIC SEARCH
19951

About K. Uchimura

K. Uchimura is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Environmental Engineering, Aerospace Engineering and Industrial and Manufacturing Engineering, having authored 16 papers that have together received 333 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (7 papers), Autonomous Vehicle Technology and Safety (4 papers), Remote Sensing and LiDAR Applications (4 papers), Robotics and Sensor-Based Localization (4 papers), Vehicle Routing Optimization Methods (3 papers), Video Surveillance and Tracking Methods (3 papers), Electrical Contact Performance and Analysis (2 papers) and Robotic Path Planning Algorithms (2 papers). The work is most often cited by research in Automotive Engineering (159 citations), Computer Vision and Pattern Recognition (207 citations), Transportation (52 citations), Aerospace Engineering (105 citations) and Environmental Engineering (46 citations). K. Uchimura has collaborated with scholars based in Japan and United States. Frequent co-authors include Zheng Hu, Zhencheng Hu, Takeshi Saito, Hiro Takahashi, Darlis Herumurti, Taiken Nakashima, Gou Koutaki, Takafumi Uemura and Zhikun Hu. Their work appears in journals such as IEEE Transactions on Vehicular Technology, IEEE Transactions on Electromagnetic Compatibility and Medical Entomology and Zoology.

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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