Eiji Kondo
- Surgery top 0.5%
- Orthopedics and Sports Medicine top 0.2%
- Biomedical Engineering top 5%
- Mechanics of Materials top 2%
- Mechanical Engineering top 5%
- Co-authors
- Kazunori YasudaYoshie TanabeHarukazu TohyamaHiroki IchiyamaNobuto KitamuraAndrew A. AmisTomonori YagiAzhar M. Merican
- Topics
- Knee injuries and reconstruction techniques (94 papers)Total Knee Arthroplasty Outcomes (75 papers)Sports injuries and prevention (36 papers)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Eiji Kondo
258 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 137
- Surgery 3.2k
- Orthopedics and Sports Medicine 2.0k
- Biomedical Engineering 769
- Mechanics of Materials 476
- Mechanical Engineering 434
Countries citing papers authored by Eiji Kondo
This map shows the geographic impact of Eiji Kondo'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 Eiji Kondo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eiji Kondo more than expected).
Fields of papers citing papers by Eiji Kondo
This network shows the impact of papers produced by Eiji Kondo. 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 Eiji Kondo. The network helps show where Eiji Kondo may publish in the future.
Co-authorship network of co-authors of Eiji Kondo
This figure shows the co-authorship network connecting the top 25 collaborators of Eiji Kondo. A scholar is included among the top collaborators of Eiji Kondo 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 Eiji Kondo. Eiji Kondo 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 7 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | Development of a System for 3-D Micro Metrology Using an Optical Fiber Probe:Influence of the slope angle of measured surface | 1 |
| 13 | A wall climbing robot with simple suckers | 3 |
| 14 | A Supervised Learning Approach to Robot Localization Using a Short-Range RFID Sensor(Artificial Intelligence and Cognitive Science) | 1 |
| 15 | Collision Avoidance for a Visuo-motor System Using Multiple Self-organizing Maps | 1 |
| 16 | 1 | |
| 17 | 3D Facial Modelling for Model-Based Coding (Special Issue on Next Generation Visual Telecommunication and Broadcasting) | 2 |
| 18 | 0 | |
| 19 | 1 | |
| 20 | 1 |
About Eiji Kondo
Eiji Kondo is a scholar working on Orthopedics and Sports Medicine, Surgery and Mechanics of Materials, having authored 287 papers that have together received 4.6k indexed citations. Recurring topics across this work include Knee injuries and reconstruction techniques (94 papers), Total Knee Arthroplasty Outcomes (75 papers) and Sports injuries and prevention (36 papers). The work is most often cited by research in Orthopedics and Sports Medicine (2.0k citations), Surgery (3.2k citations) and Molecular Medicine (168 citations). Eiji Kondo has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Kazunori Yasuda, Yoshie Tanabe, Harukazu Tohyama, Hiroki Ichiyama, Nobuto Kitamura, Andrew A. Amis, Tomonori Yagi, Azhar M. Merican, Akio Minami and Yasuyuki Kawaguchi. Their work appears in journals such as Journal of the American Chemical Society, Biomaterials and IEEE Transactions on Automatic Control.
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.