P. Sundarambal
- Environmental Engineering top 2%
- Hydrological Forecasting Using AI 5
- Air Quality Monitoring and Forecasting 2
- Water Science and Technology top 5%
- Water Quality Monitoring Technologies 4
- Oceanography top 10%
- Marine and coastal ecosystems 4
- Oceanographic and Atmospheric Processes 2
- Geochemistry and Petrology top 10%
-
- Atmospheric chemistry and aerosols 4
-
- Water resources management and optimization 2
-
- Atmospheric and Environmental Gas Dynamics 2
- Co-authors
- Pavel TkalichShie‐Yui LiongRajasekhar BalasubramanianJun HeDavid F. BurgerJohan KuylenstiernaKevin HicksManasa Ranjan Behera
- Cited by
- Environmental EngineeringWater Science and TechnologyIndustrial and Manufacturing Engineering
In The Last Decade
P. Sundarambal
20 papers receiving 653 citations
Peers
Comparison fields: 5 of 75
- Environmental Engineering 376
- Water Science and Technology 318
- Industrial and Manufacturing Engineering 108
- Oceanography 104
- Geochemistry and Petrology 42
Countries citing papers authored by P. Sundarambal
This map shows the geographic impact of P. Sundarambal'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 P. Sundarambal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Sundarambal more than expected).
Fields of papers citing papers by P. Sundarambal
This network shows the impact of papers produced by P. Sundarambal. 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 P. Sundarambal. The network helps show where P. Sundarambal may publish in the future.
Co-authorship network
The 22 scholars most cited alongside P. Sundarambal, 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 | 2021 | 5 | |
| 2 | 2020 | 1 | |
| 3 | 2018 | 29 | |
| 4 | Impact analysis of participatory integrated watershed management programme in semi-arid region of Tamil Nadu, India | 2014 | 4 |
| 5 | 2014 | 1 | |
| 6 | 2014 | 4 | |
| 7 | 2014 | 7 | |
| 8 | 2013 | 20 | |
| 9 | Role Performance and Knowledge Level of Tribal Women Farmers in Meghalaya | 2012 | 3 |
| 10 | 2011 | 23 | |
| 11 | 2011 | 80 | |
| 12 | 2010 | 49 | |
| 13 | 2010 | 21 | |
| 14 | 2010 | 5 | |
| 15 | 2010 | 8 | |
| 16 | Development of a neural network model for dissolved oxygen in seawater | 2009 | 14 |
| 17 | 2009 | 3 | |
| 18 | 2009 | 11 | |
| 19 | 2008 | 397 | |
| 20 | 2008 | 3 |
About P. Sundarambal
P. Sundarambal is a scholar working on Oceanography, Environmental Engineering and Water Science and Technology, having authored 20 papers that have together received 688 indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (5 papers), Atmospheric chemistry and aerosols (4 papers), Water Quality Monitoring Technologies (4 papers), Marine and coastal ecosystems (4 papers), Air Quality Monitoring and Forecasting (2 papers), Water resources management and optimization (2 papers), Oceanographic and Atmospheric Processes (2 papers) and Atmospheric and Environmental Gas Dynamics (2 papers). The work is most often cited by research in Environmental Engineering (376 citations), Water Science and Technology (318 citations) and Industrial and Manufacturing Engineering (108 citations). P. Sundarambal has collaborated with scholars based in Singapore, India and Germany. Frequent co-authors include Pavel Tkalich, Shie‐Yui Liong, Rajasekhar Balasubramanian, Jun He, David F. Burger, Johan Kuylenstierna, Kevin Hicks, Manasa Ranjan Behera, Holger Schüttrumpf and A. K. Sikka. Their work appears in journals such as Water Science & Technology, Marine Pollution Bulletin, Atmospheric chemistry and physics, Atmospheric Environment and Journal of Environmental Health Science and Engineering.
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.