Suwit Ongsomwang
Impact in
- Ecology top 10%
- Remote Sensing in Agriculture
- Coastal wetland ecosystem dynamics
- Media Technology top 10%
- Remote-Sensing Image Classification
Papers in
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- Land Use and Ecosystem Services 12
-
- Soil Geostatistics and Mapping 3
- Co-authors
- Chaichoke Vaiphasa (2 shared papers)Andrew K. Skidmore (1 shared paper)Jing Sun (3 shared papers)Yongyut Trisurat (1 shared paper)Makoto Nogami (1 shared paper)
In The Last Decade
Suwit Ongsomwang
21 papers receiving 270 citations
Peers
Comparison fields: 5 of 45
- Ecology 166
- Media Technology 52
- Global and Planetary Change 118
- Ecological Modeling 20
- Environmental Engineering 56
Countries citing papers authored by Suwit Ongsomwang
This map shows the geographic impact of Suwit Ongsomwang'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 Suwit Ongsomwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suwit Ongsomwang more than expected).
Fields of papers citing papers by Suwit Ongsomwang
This network shows the impact of papers produced by Suwit Ongsomwang. 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 Suwit Ongsomwang. The network helps show where Suwit Ongsomwang may publish in the future.
Co-authors
The 5 scholars most cited alongside Suwit Ongsomwang, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 145 | |
| 2 | 2019 | 31 | |
| 3 | 2019 | 14 | |
| 4 | 2021 | 13 | |
| 5 | 2021 | 11 | |
| 6 | 2020 | 10 | |
| 7 | 2021 | 9 | |
| 8 | Hyperspectral data for tropical mangrove species discrimination | 2004 | 9 |
| 9 | 2023 | 7 | |
| 10 | 2021 | 5 | |
| 11 | 2022 | 5 | |
| 12 | INTEGRATION OF GEOSPATIAL MODELS FOR OPTIMUM LAND USE ALLOCATION IN THREE DIFFERENT SCENARIOS | 2015 | 5 |
| 13 | 2019 | 4 | |
| 14 | 2022 | 4 | |
| 15 | 2015 | 3 | |
| 16 | ASSESSING THE EFFECT OF INCORPORATING TOPOGRAPHICAL DATA WITH GEOSTATISTICAL INTERPOLATION FOR MONTHLY RAINFALL AND TEMPERATURE IN PING BASIN, THAILAND | 2011 | 3 |
| 17 | Spatial Modeling for Soil Properties Prediction in Mountainous Areas using Partial Least Squares Regression | 2013 | 3 |
| 18 | Spatial modeling for soil erosion assessment in upper lam phra phloeng watershed, Nakhon Ratchasima, Thailand | 2009 | 3 |
| 19 | OPTIMUM PREDICTIVE MODEL FOR URBAN GROWTH PREDICTION | 2011 | 3 |
| 20 | 2014 | 1 |
About Suwit Ongsomwang
Suwit Ongsomwang is a scholar working on Global and Planetary Change, Environmental Engineering, Ecology, Water Science and Technology and Management, Monitoring, Policy and Law, having authored 22 papers that have together received 289 indexed citations. Recurring topics across this work include Land Use and Ecosystem Services (12 papers), Hydrology and Watershed Management Studies (5 papers), Remote Sensing in Agriculture (4 papers), Soil and Land Suitability Analysis (4 papers), Remote Sensing and Land Use (3 papers), Soil erosion and sediment transport (3 papers), Remote-Sensing Image Classification (3 papers) and Soil Geostatistics and Mapping (3 papers). The work is most often cited by research in Ecology (166 citations), Media Technology (52 citations), Global and Planetary Change (118 citations), Ecological Modeling (20 citations) and Environmental Engineering (56 citations). Suwit Ongsomwang has collaborated with scholars based in Thailand, China and Vietnam. Frequent co-authors include Chaichoke Vaiphasa, Andrew K. Skidmore, Jing Sun, Yongyut Trisurat and Makoto Nogami. Their work appears in journals such as Applied Sciences, ISPRS International Journal of Geo-Information, Sustainability, Estuarine Coastal and Shelf Science and Atmosphere.
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.