S. Poornima

About

S. Poornima is a scholar working on Environmental Engineering, Artificial Intelligence and Global and Planetary Change. According to data from OpenAlex, S. Poornima has authored 9 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Environmental Engineering, 3 papers in Artificial Intelligence and 3 papers in Global and Planetary Change. Recurrent topics in S. Poornima’s work include Hydrological Forecasting Using AI (4 papers), Global Drought Monitoring and Assessment (3 papers) and Energy Load and Power Forecasting (2 papers). S. Poornima is often cited by papers focused on Hydrological Forecasting Using AI (4 papers), Global Drought Monitoring and Assessment (3 papers) and Energy Load and Power Forecasting (2 papers). S. Poornima collaborates with scholars based in India and Russia. S. Poornima's co-authors include M. Pushpalatha, M. Pushpalatha, Raghavendra B. Jana, S. Mohanavalli, S. Kavitha and Shahbaz Syed and has published in prestigious journals such as Water, Soft Computing and Atmosphere.

In The Last Decade

Co-authorship network of co-authors of S. Poornima i

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Fields of papers citing papers by S. Poornima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Poornima. 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 S. Poornima. The network helps show where S. Poornima may publish in the future.

Countries citing papers authored by S. Poornima

Since Specialization

Citations

This map shows the geographic impact of S. Poornima'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 S. Poornima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Poornima more than expected).

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.

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