Noboru Noguchi
Impact in
- Plant Science top 2%
- Smart Agriculture and AI
-
- Soil Mechanics and Vehicle Dynamics
Papers in
-
- Soil Mechanics and Vehicle Dynamics 53
-
- Smart Agriculture and AI 83
- Co-authors
- Kazunobu IshiiHideo TeraoJohn F. ReidLiangliang YangAli RoshanianfardRyo SugiuraQin ZhangAkira Mizushima
- Journals
- Computers and Electronics in Agriculture (20 papers)International journal of agricultural and biological engineering (12 papers)Journal of Terramechanics (4 papers)Biosystems Engineering (4 papers)Agronomy (2 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Noboru Noguchi
192 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 108
- Plant Science 1.3k
- Civil and Structural Engineering 609
- Computer Vision and Pattern Recognition 458
- Environmental Engineering 255
- Control and Systems Engineering 368
Countries citing papers authored by Noboru Noguchi
This map shows the geographic impact of Noboru Noguchi'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 Noboru Noguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noboru Noguchi more than expected).
Fields of papers citing papers by Noboru Noguchi
This network shows the impact of papers produced by Noboru Noguchi. 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 Noboru Noguchi. The network helps show where Noboru Noguchi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Noboru Noguchi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2019 | 4 | |
| 3 | 2016 | 17 | |
| 4 | 2015 | 18 | |
| 5 | 2012 | 5 | |
| 6 | 2008 | 2 | |
| 7 | 2008 | 1 | |
| 8 | 2006 | 0 | |
| 9 | 2006 | 3 | |
| 10 | 2004 | 0 | |
| 11 | 2002 | 3 | |
| 12 | 2002 | 3 | |
| 13 | 2001 | 2 | |
| 14 | 2000 | 1 | |
| 15 | Robotization of agricultural vehicles (Part 1). Component technologies and navigation systems. | 2000 | 6 |
| 16 | Machine Vision Integration for Vehicle Guidance | 1999 | 0 |
| 17 | 1998 | 3 | |
| 18 | 1998 | 8 | |
| 19 | 1998 | 7 | |
| 20 | 1995 | 3 |
About Noboru Noguchi
Noboru Noguchi is a scholar working on Civil and Structural Engineering, Plant Science, Control and Systems Engineering, Aerospace Engineering and Analytical Chemistry, having authored 208 papers that have together received 2.6k indexed citations. Recurring topics across this work include Smart Agriculture and AI (83 papers), Soil Mechanics and Vehicle Dynamics (53 papers), Agricultural Engineering and Mechanization (24 papers), Robotic Path Planning Algorithms (22 papers), Robotics and Sensor-Based Localization (22 papers), Remote Sensing in Agriculture (21 papers), Remote Sensing and Land Use (15 papers) and Robotics and Automated Systems (14 papers). The work is most often cited by research in Plant Science (1.3k citations), Civil and Structural Engineering (609 citations), Computer Vision and Pattern Recognition (458 citations), Environmental Engineering (255 citations) and Control and Systems Engineering (368 citations). Noboru Noguchi has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Kazunobu Ishii, Hideo Terao, John F. Reid, Liangliang Yang, Ali Roshanianfard, Ryo Sugiura, Qin Zhang, Akira Mizushima, Michio Kise and Chi Zhang. Their work appears in journals such as Computers and Electronics in Agriculture, International journal of agricultural and biological engineering, Journal of Terramechanics, Biosystems Engineering and Agronomy.
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.