H. Noborio

657 total citations
61 papers, 385 citations indexed

About

H. Noborio is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Aerospace Engineering. According to data from OpenAlex, H. Noborio has authored 61 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computer Vision and Pattern Recognition, 33 papers in Control and Systems Engineering and 28 papers in Aerospace Engineering. Recurrent topics in H. Noborio's work include Robotic Path Planning Algorithms (47 papers), Robotics and Sensor-Based Localization (28 papers) and Robot Manipulation and Learning (19 papers). H. Noborio is often cited by papers focused on Robotic Path Planning Algorithms (47 papers), Robotics and Sensor-Based Localization (28 papers) and Robot Manipulation and Learning (19 papers). H. Noborio collaborates with scholars based in Japan. H. Noborio's 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 and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, at - Automatisierungstechnik and International Symposium on Robotics.

In The Last Decade

H. Noborio

56 papers receiving 342 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
H. Noborio Japan 11 290 174 159 71 68 61 385
Soonkyum Kim United States 11 270 0.9× 137 0.8× 213 1.3× 85 1.2× 106 1.6× 22 417
P. Jacobs United States 6 534 1.8× 171 1.0× 422 2.7× 39 0.5× 52 0.8× 9 581
Robert B. Kelley United States 12 339 1.2× 142 0.8× 132 0.8× 71 1.0× 8 0.1× 40 480
Pekka Isto Finland 10 205 0.7× 84 0.5× 197 1.2× 49 0.7× 41 0.6× 21 359
Fred Rothganger United States 8 428 1.5× 263 1.5× 156 1.0× 55 0.8× 11 0.2× 18 548
Boris Lau Germany 8 292 1.0× 168 1.0× 169 1.1× 27 0.4× 51 0.8× 9 396
Nate Koenig United States 4 148 0.5× 57 0.3× 92 0.6× 37 0.5× 14 0.2× 6 273
Jyh-Ming Lien United States 7 205 0.7× 129 0.7× 80 0.5× 68 1.0× 30 0.4× 9 310
Marco Frego Italy 11 221 0.8× 69 0.4× 131 0.8× 19 0.3× 14 0.2× 29 337
Chonhyon Park United States 11 307 1.1× 130 0.7× 219 1.4× 47 0.7× 10 0.1× 17 444

Countries citing papers authored by H. Noborio

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Murata, Yuki, et al.. (2005). A smart rheologic MSD model pushed/calibrated/evaluated by experimental impulses. 269–276. 10 indexed citations
2.
Noborio, H., et al.. (2005). A comparative study of rheology MSD models whose structures are lattice and truss. 4. 3809–3816. 3 indexed citations
4.
Noborio, H., et al.. (2004). Wearable-based evaluation of human-robot interactions in robot path-planning. j83 d ii. 1946–1953. 4 indexed citations
5.
6.
9.
Noborio, H., et al.. (2002). A shared autonomy of multiple mobile robots in teleoperation. 319–325. 10 indexed citations
11.
Noborio, H., et al.. (2002). A comparative study of sensor-based path-planning algorithms in an unknown maze. 2. 909–916. 13 indexed citations
12.
Noborio, H., et al.. (2002). On-line deadlock-free path-planning algorithms by means of a sensor-feedback tracing. 2. 1291–1296. 5 indexed citations
13.
Noborio, H., et al.. (2002). A teleoperation support system with the help of dual views of Cartesian and configuration space. 8. 382–387. 3 indexed citations
14.
Noborio, H., et al.. (2002). Image-based path-planning algorithm on the joint space. 2. 1180–1187. 6 indexed citations
15.
Noborio, H., et al.. (2002). Evaluation of path length made in sensor-based path-planning with the alternative following. 2. 1728–1735. 14 indexed citations
16.
Kimura, N., Nobuhito Mori, & H. Noborio. (2002). A fast collision check algorithm EDGE for moving 3D objects. 3. 2107–2114. 2 indexed citations
17.
Ikuta, Takashi, et al.. (2002). A teleoperation system based on generation of artificial forces and sensor-based motion-planning. 2. 1179–1186. 3 indexed citations
18.
Noborio, H.. (1990). Several Path Planning Algorithms of a Mobile Robot for an Uncertain Workspace and Their Evaluation. Medical Entomology and Zoology. 1. 289–294. 14 indexed citations
19.
Arimoto, S., et al.. (1988). A feasible approach to automatic planning of collision-free robot motions. International Symposium on Robotics. 479–488. 6 indexed citations
20.
Noborio, H., T. Naniwa, & S. Arimoto. (1988). A fast path-planning algorithm by synchronizing modification and search of its path graph (mobile robots). 351–357. 16 indexed citations

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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