Ehsan Javanmardi
Impact in
- Geology top 5%
- 3D Surveying and Cultural Heritage
- Environmental Engineering top 10%
- Remote Sensing and LiDAR Applications
Papers in
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- Autonomous Vehicle Technology and Safety 14
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- Remote Sensing and LiDAR Applications 15
- Co-authors
- Yanlei Gu (15 shared papers)Shunsuke Kamijo (16 shared papers)Manabu Tsukada (28 shared papers)Jin Nakazato (20 shared papers)Hiroshi Esaki (7 shared papers)Muhammad Asad (3 shared papers)Shin Kamijo (3 shared papers)Pengfei Lin (3 shared papers)
In The Last Decade
Ehsan Javanmardi
42 papers receiving 391 citations
Peers
Comparison fields: 5 of 52
- Geology 73
- Environmental Engineering 115
- Automotive Engineering 88
- Aerospace Engineering 170
- Computer Vision and Pattern Recognition 94
Countries citing papers authored by Ehsan Javanmardi
This map shows the geographic impact of Ehsan Javanmardi'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 Ehsan Javanmardi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ehsan Javanmardi more than expected).
Fields of papers citing papers by Ehsan Javanmardi
This network shows the impact of papers produced by Ehsan Javanmardi. 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 Ehsan Javanmardi. The network helps show where Ehsan Javanmardi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ehsan Javanmardi, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 59 | |
| 2 | 2018 | 58 | |
| 3 | 2018 | 36 | |
| 4 | 2020 | 24 | |
| 5 | 2017 | 22 | |
| 6 | 2023 | 20 | |
| 7 | 2023 | 19 | |
| 8 | 2023 | 19 | |
| 9 | 2023 | 16 | |
| 10 | 2018 | 11 | |
| 11 | 2019 | 9 | |
| 12 | 2023 | 6 | |
| 13 | 2024 | 6 | |
| 14 | A Novel Approach for Post-Calibration of Mobile Mapping Systems Using Intensity Reflection and Airborne Imagery | 2017 | 6 |
| 15 | 2017 | 6 | |
| 16 | 2022 | 6 | |
| 17 | 2015 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2021 | 5 | |
| 20 | 2023 | 4 |
About Ehsan Javanmardi
Ehsan Javanmardi is a scholar working on Automotive Engineering, Environmental Engineering, Aerospace Engineering, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 48 papers that have together received 398 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (15 papers), Remote Sensing and LiDAR Applications (15 papers), Autonomous Vehicle Technology and Safety (14 papers), 3D Surveying and Cultural Heritage (7 papers), Robotic Path Planning Algorithms (5 papers), Indoor and Outdoor Localization Technologies (5 papers), Privacy-Preserving Technologies in Data (5 papers) and Human-Automation Interaction and Safety (4 papers). The work is most often cited by research in Geology (73 citations), Environmental Engineering (115 citations), Automotive Engineering (88 citations), Aerospace Engineering (170 citations) and Computer Vision and Pattern Recognition (94 citations). Ehsan Javanmardi has collaborated with scholars based in Japan, Australia and Iran. Frequent co-authors include Yanlei Gu, Shunsuke Kamijo, Manabu Tsukada, Jin Nakazato, Hiroshi Esaki, Muhammad Asad, Shin Kamijo, Pengfei Lin, Dou Hu and Liangyan Tao. Their work appears in journals such as IEEE Access, Sensors, IEEE Open Journal of Vehicular Technology, IEEE Transactions on Intelligent Transportation Systems and Electronics.
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.