Kazuki Abe
Impact in
-
- Advanced Combustion Engine Technologies
- Computational Mechanics top 10%
- Combustion and flame dynamics
Papers in
-
- Robot Manipulation and Learning 7
- Robotic Mechanisms and Dynamics 5
- Traffic control and management 4
-
- Modular Robots and Swarm Intelligence 8
- Co-authors
- Takao Myoda (4 shared papers)Yoji Hori (2 shared papers)Kenjiro Tadakuma (21 shared papers)Kaoru Maruta (2 shared papers)Riichiro Tadakuma (11 shared papers)Junichi Sato (1 shared paper)Shigenao Maruyama (1 shared paper)Toshitsugu Sato (3 shared papers)
- Journals
- IEEE Robotics and Automation Letters (8 papers)Advanced Robotics (4 papers)Obesity Facts (4 papers)Liquid Crystals (3 papers)Thin Solid Films (2 papers)
- Partner nations
- JapanFranceNetherlands
In The Last Decade
Kazuki Abe
68 papers receiving 615 citations
Peers
Comparison fields: 5 of 125
- Fluid Flow and Transfer Processes 77
- Computational Mechanics 110
- Surfaces, Coatings and Films 20
- Biochemistry 16
- Hematology 25
Countries citing papers authored by Kazuki Abe
This map shows the geographic impact of Kazuki Abe'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 Kazuki Abe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuki Abe more than expected).
Fields of papers citing papers by Kazuki Abe
This network shows the impact of papers produced by Kazuki Abe. 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 Kazuki Abe. The network helps show where Kazuki Abe may publish in the future.
Co-authors
The 25 scholars most cited alongside Kazuki Abe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 58 | |
| 2 | 2006 | 56 | |
| 3 | 2019 | 50 | |
| 4 | 1979 | 33 | |
| 5 | 2021 | 30 | |
| 6 | 2016 | 27 | |
| 7 | 2021 | 27 | |
| 8 | 2003 | 26 | |
| 9 | 2011 | 19 | |
| 10 | 2008 | 19 | |
| 11 | 2008 | 19 | |
| 12 | 2006 | 16 | |
| 13 | Train Traffic Simulation Using the Longest Path Method | 1986 | 14 |
| 14 | 2019 | 13 | |
| 15 | 1988 | 11 | |
| 16 | 2007 | 9 | |
| 17 | 1999 | 9 | |
| 18 | 2000 | 9 | |
| 19 | 2021 | 9 | |
| 20 | 2022 | 8 |
About Kazuki Abe
Kazuki Abe is a scholar working on Control and Systems Engineering, Mechanical Engineering, Biomedical Engineering, Electrical and Electronic Engineering and Computational Mechanics, having authored 84 papers that have together received 639 indexed citations. Recurring topics across this work include Soft Robotics and Applications (11 papers), Modular Robots and Swarm Intelligence (8 papers), Robot Manipulation and Learning (7 papers), Advanced Sensor and Energy Harvesting Materials (5 papers), Robotic Mechanisms and Dynamics (5 papers), Traffic control and management (4 papers), Multilevel Inverters and Converters (4 papers) and Transportation Planning and Optimization (4 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (77 citations), Computational Mechanics (110 citations), Surfaces, Coatings and Films (20 citations), Biochemistry (16 citations) and Hematology (25 citations). Kazuki Abe has collaborated with scholars based in Japan, France and Netherlands. Frequent co-authors include Takao Myoda, Yoji Hori, Kenjiro Tadakuma, Kaoru Maruta, Riichiro Tadakuma, Junichi Sato, Shigenao Maruyama, Toshitsugu Sato, Kazuya Saito and Hideo Inoue. Their work appears in journals such as IEEE Robotics and Automation Letters, Advanced Robotics, Obesity Facts, Liquid Crystals and Thin Solid Films.
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.