Lakshmi Sutha Kumar
- Atmospheric Science top 10%
- Global and Planetary Change top 10%
- Environmental Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Co-authors
- Yee Hui LeeR. NagarajJin OngMalaya Kumar NathYong Liang GuanSandeep VuddantiAndrew K. SkidmoreSumei Sun
- Topics
- Precipitation Measurement and Analysis (9 papers)Flood Risk Assessment and Management (8 papers)Atmospheric aerosols and clouds (8 papers)
In The Last Decade
Lakshmi Sutha Kumar
55 papers receiving 466 citations
Peers
Comparison fields: 5 of 80
- Atmospheric Science 149
- Global and Planetary Change 131
- Environmental Engineering 120
- Computer Vision and Pattern Recognition 92
- Electrical and Electronic Engineering 92
Countries citing papers authored by Lakshmi Sutha Kumar
This map shows the geographic impact of Lakshmi Sutha Kumar'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 Lakshmi Sutha Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lakshmi Sutha Kumar more than expected).
Fields of papers citing papers by Lakshmi Sutha Kumar
This network shows the impact of papers produced by Lakshmi Sutha Kumar. 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 Lakshmi Sutha Kumar. The network helps show where Lakshmi Sutha Kumar may publish in the future.
Co-authorship network of co-authors of Lakshmi Sutha Kumar
This figure shows the co-authorship network connecting the top 25 collaborators of Lakshmi Sutha Kumar. A scholar is included among the top collaborators of Lakshmi Sutha Kumar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lakshmi Sutha Kumar. Lakshmi Sutha Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 11 | |
| 10 | 0 | |
| 11 | 7 | |
| 12 | 7 | |
| 13 | 6 | |
| 14 | 23 | |
| 15 | 12 | |
| 16 | 4 | |
| 17 | 9 | |
| 18 | 4 | |
| 19 | 31 | |
| 20 | Hyperspectral imagery for coastal wetland vegetation mapping | 3 |
About Lakshmi Sutha Kumar
Lakshmi Sutha Kumar is a scholar working on Media Technology, Environmental Engineering and Global and Planetary Change, having authored 61 papers that have together received 576 indexed citations. Recurring topics across this work include Precipitation Measurement and Analysis (9 papers), Flood Risk Assessment and Management (8 papers) and Atmospheric aerosols and clouds (8 papers). The work is most often cited by research in Environmental Engineering (120 citations), Atmospheric Science (149 citations) and Signal Processing (86 citations). Lakshmi Sutha Kumar has collaborated with scholars based in Singapore and India. Frequent co-authors include Yee Hui Lee, R. Nagaraj, Jin Ong, Malaya Kumar Nath, Yong Liang Guan, Sandeep Vuddanti, Andrew K. Skidmore, Sumei Sun, K.S. Schmidt and S. Dury. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and IEEE Transactions on Antennas and Propagation.
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.