Samsung Lim
- Geology top 2%
- Environmental Engineering top 2%
- Remote Sensing and LiDAR Applications 29
- Media Technology top 1%
- Remote-Sensing Image Classification 14
-
- GNSS positioning and interference 25
- Inertial Sensor and Navigation 15
-
- Remote Sensing in Agriculture 15
-
- Flood Risk Assessment and Management 14
- Fire effects on ecosystems 12
-
- Geophysics and Gravity Measurements 14
Samsung Lim
136 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Geology 176
- Environmental Engineering 442
- Media Technology 269
- Industrial and Manufacturing Engineering 205
- Management, Monitoring, Policy and Law 257
Countries citing papers authored by Samsung Lim
This map shows the geographic impact of Samsung Lim'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 Samsung Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samsung Lim more than expected).
Fields of papers citing papers by Samsung Lim
This network shows the impact of papers produced by Samsung Lim. 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 Samsung Lim. The network helps show where Samsung Lim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Samsung Lim, 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 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 16 | |
| 9 | 2021 | 50 | |
| 10 | 2018 | 1 | |
| 11 | 2016 | 79 | |
| 12 | 2016 | 26 | |
| 13 | A Comparative Study of Mathematical Modelling for GPS/GLONASS Real-Time Kinematic (RTK) | 2012 | 3 |
| 14 | Multi-GNSS Opportunities and Challenges | 2012 | 1 |
| 15 | 2010 | 17 | |
| 16 | Atmosphere Decomposition for VRS Based Network-RTK System | 2009 | 2 |
| 17 | A New Framework for Server-Based and Thin-Client GNSS Operations for High Accuracy Applications in Surveying and Navigation | 2007 | 8 |
| 18 | Error Assessment of Attitude Determination Using Wireless Internet-Based DGPS | 2005 | 1 |
| 19 | Study on the Improvement of the Positioning Accuracy for Inverted RTK Using FARA | 2004 | 1 |
| 20 | Geometric Corrections of Inaccessible Area Imagery by Employing a Correlative Method | 2002 | 1 |
About Samsung Lim
Samsung Lim is a scholar working on Environmental Engineering, Media Technology, Transportation, Geology and Aerospace Engineering, having authored 152 papers that have together received 2.3k indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (29 papers), GNSS positioning and interference (25 papers), Inertial Sensor and Navigation (15 papers), Remote Sensing in Agriculture (15 papers), Flood Risk Assessment and Management (14 papers), Remote-Sensing Image Classification (14 papers), Geophysics and Gravity Measurements (14 papers) and Fire effects on ecosystems (12 papers). The work is most often cited by research in Geology (176 citations), Environmental Engineering (442 citations), Media Technology (269 citations), Industrial and Manufacturing Engineering (205 citations) and Management, Monitoring, Policy and Law (257 citations). Samsung Lim has collaborated with scholars based in Australia, Iran and United States. Frequent co-authors include Hossein Asefi, Qishuo Gao, Xiuping Jia, A. R. Farhan, Lan Ding, Jinda Qi, Chris Rizos, Vahideh Moghtadaiee, Andrew G. Dempster and Jason J. Sharples. Their work appears in journals such as Geomatics Natural Hazards and Risk, Remote Sensing, International Journal of Remote Sensing, Computers and Electronics in Agriculture and Ocean & Coastal Management.
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.