H. Inoue
- Biomedical Engineering top 1%
- Control and Systems Engineering top 0.5%
- Computer Vision and Pattern Recognition top 0.5%
- Surgery top 5%
- Aerospace Engineering top 2%
- Co-authors
- Masayuki InabaYasuo KuniyoshiS. KagamiKeiji NishiwakiTomomichi SugiharaYoshihiko NakamuraYoshio MatsumotoMakoto Inaba
- Topics
- Robotic Locomotion and Control (51 papers)Robotic Path Planning Algorithms (27 papers)Pancreatic and Hepatic Oncology Research (26 papers)
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionBiomedical Engineering
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
H. Inoue
225 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Biomedical Engineering 2.0k
- Control and Systems Engineering 1.7k
- Computer Vision and Pattern Recognition 1.3k
- Surgery 701
- Aerospace Engineering 667
Countries citing papers authored by H. Inoue
This map shows the geographic impact of H. Inoue'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. Inoue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Inoue more than expected).
Fields of papers citing papers by H. Inoue
This network shows the impact of papers produced by H. Inoue. 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. Inoue. The network helps show where H. Inoue may publish in the future.
Co-authorship network of co-authors of H. Inoue
This figure shows the co-authorship network connecting the top 25 collaborators of H. Inoue. A scholar is included among the top collaborators of H. Inoue 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. Inoue. H. Inoue is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 6 | |
| 13 | 3 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 0 | |
| 18 | 3 | |
| 19 | 22 | |
| 20 | A flexible multi window vision system for robots | 22 |
About H. Inoue
H. Inoue is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Gastroenterology, having authored 241 papers that have together received 4.9k indexed citations. Recurring topics across this work include Robotic Locomotion and Control (51 papers), Robotic Path Planning Algorithms (27 papers) and Pancreatic and Hepatic Oncology Research (26 papers). The work is most often cited by research in Control and Systems Engineering (1.7k citations), Computer Vision and Pattern Recognition (1.3k citations) and Biomedical Engineering (2.0k citations). H. Inoue has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Masayuki Inaba, Yasuo Kuniyoshi, S. Kagami, Keiji Nishiwaki, Tomomichi Sugihara, Yoshihiko Nakamura, Yoshio Matsumoto, Makoto Inaba, James Kuffner and Ken Nagasaka. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Annals of Surgery.
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.