Mohammad Aldibaja
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety 16
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- Robotic Path Planning Algorithms 6
- Advanced Neural Network Applications 5
- Video Surveillance and Tracking Methods 4
- Instrumentation top 10%
- Environmental Engineering top 10%
- Remote Sensing and LiDAR Applications 19
- Aerospace Engineering top 10%
- Robotics and Sensor-Based Localization 24
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- 3D Surveying and Cultural Heritage 5
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- Indoor and Outdoor Localization Technologies 2
- Co-authors
- Keisuke YonedaNaoki SuganumaRyo YanaseNaoya HashimotoMasaru YoshiokaShigenori SanoNaoki UchiyamaKei Sato
- Journals
- Sensors (3 papers)Remote Sensing (3 papers)IEEE Transactions on Industrial Informatics (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Mohammad Aldibaja
30 papers receiving 417 citations
Peers
Comparison fields: 5 of 53
- Automotive Engineering 193
- Computer Vision and Pattern Recognition 197
- Instrumentation 30
- Environmental Engineering 106
- Aerospace Engineering 180
Countries citing papers authored by Mohammad Aldibaja
This map shows the geographic impact of Mohammad Aldibaja'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 Mohammad Aldibaja with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Aldibaja more than expected).
Fields of papers citing papers by Mohammad Aldibaja
This network shows the impact of papers produced by Mohammad Aldibaja. 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 Mohammad Aldibaja. The network helps show where Mohammad Aldibaja may publish in the future.
Co-authorship network
The 10 scholars most cited alongside Mohammad Aldibaja, 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 | 2024 | 2 | |
| 2 | 2022 | 3 | |
| 3 | 2022 | 13 | |
| 4 | 2021 | 6 | |
| 5 | 2020 | 14 | |
| 6 | 2020 | 3 | |
| 7 | 2018 | 14 | |
| 8 | 2018 | 2 | |
| 9 | 2018 | 48 | |
| 10 | 2018 | 1 | |
| 11 | 2018 | 13 | |
| 12 | 2018 | 8 | |
| 13 | 2017 | 34 | |
| 14 | 2017 | 2 | |
| 15 | 2017 | 17 | |
| 16 | 2016 | 9 | |
| 17 | 2016 | 1 | |
| 18 | 2016 | 24 | |
| 19 | 2015 | 14 | |
| 20 | 2014 | 3 |
About Mohammad Aldibaja
Mohammad Aldibaja is a scholar working on Automotive Engineering, Environmental Engineering and Aerospace Engineering, having authored 31 papers that have together received 438 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (24 papers), Remote Sensing and LiDAR Applications (19 papers), Autonomous Vehicle Technology and Safety (16 papers), Robotic Path Planning Algorithms (6 papers), 3D Surveying and Cultural Heritage (5 papers), Advanced Neural Network Applications (5 papers), Video Surveillance and Tracking Methods (4 papers) and Indoor and Outdoor Localization Technologies (2 papers). The work is most often cited by research in Automotive Engineering (193 citations), Computer Vision and Pattern Recognition (197 citations) and Instrumentation (30 citations). Mohammad Aldibaja has collaborated with scholars based in Japan and United States. Frequent co-authors include Keisuke Yoneda, Naoki Suganuma, Ryo Yanase, Naoya Hashimoto, Masaru Yoshioka, Shigenori Sano, Naoki Uchiyama, Kei Sato, Toru Asaka and Lu Cao. Their work appears in journals such as Sensors, Remote Sensing and IEEE Transactions on Industrial Informatics.
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.