H. Noborio
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Control and Systems Engineering top 5%
- Mechanical Engineering
- Computer Networks and Communications top 10%
- Co-authors
- S. ArimotoSumiaki FukudaTakashi YoshiokaT. NaniwaKikuo FujimuraYuki MurataShoji TominagaIkuo Yamamoto
- Topics
- Robotic Path Planning Algorithms (47 papers)Robotics and Sensor-Based Localization (28 papers)Robot Manipulation and Learning (19 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionAerospace Engineering
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligenceat - AutomatisierungstechnikInternational Symposium on Robotics
- Partner nations
- Japan
In The Last Decade
H. Noborio
56 papers receiving 342 citations
Peers
Comparison fields: 5 of 42
- Computer Vision and Pattern Recognition 290
- Aerospace Engineering 174
- Control and Systems Engineering 159
- Mechanical Engineering 71
- Computer Networks and Communications 68
Countries citing papers authored by H. Noborio
This map shows the geographic impact of H. Noborio'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 H. Noborio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Noborio more than expected).
Fields of papers citing papers by H. Noborio
This network shows the impact of papers produced by H. Noborio. 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 H. Noborio. The network helps show where H. Noborio may publish in the future.
Co-authorship network of co-authors of H. Noborio
This figure shows the co-authorship network connecting the top 25 collaborators of H. Noborio. A scholar is included among the top collaborators of H. Noborio 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 H. Noborio. H. Noborio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 11 | |
| 8 | 0 | |
| 9 | 10 | |
| 10 | 1 | |
| 11 | 13 | |
| 12 | 5 | |
| 13 | 3 | |
| 14 | 6 | |
| 15 | 14 | |
| 16 | 2 | |
| 17 | 3 | |
| 18 | Several Path Planning Algorithms of a Mobile Robot for an Uncertain Workspace and Their Evaluation | 14 |
| 19 | A feasible approach to automatic planning of collision-free robot motions | 6 |
| 20 | 16 |
About H. Noborio
H. Noborio is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Control and Systems Engineering, having authored 61 papers that have together received 385 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (47 papers), Robotics and Sensor-Based Localization (28 papers) and Robot Manipulation and Learning (19 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (55 citations), Computer Vision and Pattern Recognition (290 citations) and Aerospace Engineering (174 citations). H. Noborio has collaborated with scholars based in Japan. Frequent co-authors include S. Arimoto, Sumiaki Fukuda, Takashi Yoshioka, T. Naniwa, Kikuo Fujimura, Yuki Murata, Shoji Tominaga, Ikuo Yamamoto, S.-Y. Kuroda and Takashi Ikuta. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, at - Automatisierungstechnik and International Symposium on Robotics.
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.