S. Poornima
- Environmental Engineering top 10%
- Global and Planetary Change
- Electrical and Electronic Engineering
- Artificial Intelligence
- Atmospheric Science
- Co-authors
- M. PushpalathaS. KavithaRaghavendra B. JanaS. MohanavalliK. C. ShashidharShahbaz SyedRoshan Fernandes
- Topics
- Big Data and Business Intelligence (3 papers)Hydrological Forecasting Using AI (3 papers)Sentiment Analysis and Opinion Mining (2 papers)
- Journals
- IEEE AccessWaterAtmosphere
In The Last Decade
S. Poornima
15 papers receiving 278 citations
Peers
Comparison fields: 5 of 78
- Environmental Engineering 130
- Global and Planetary Change 76
- Electrical and Electronic Engineering 71
- Artificial Intelligence 56
- Atmospheric Science 45
Countries citing papers authored by S. Poornima
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).
Fields of papers citing papers by S. Poornima
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.
Co-authorship network of co-authors of S. Poornima
This figure shows the co-authorship network connecting the top 25 collaborators of S. Poornima. A scholar is included among the top collaborators of S. Poornima 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 S. Poornima. S. Poornima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 19 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 31 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 160 | |
| 12 | 4 | |
| 13 | 21 | |
| 14 | 18 | |
| 15 | 18 | |
| 16 | 5 | |
| 17 | 8 | |
| 18 | Enhancement of images with speckle noise reduction using different filters | 4 |
About S. Poornima
S. Poornima is a scholar working on Health Information Management, Management Information Systems and Artificial Intelligence, having authored 18 papers that have together received 300 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (3 papers), Hydrological Forecasting Using AI (3 papers) and Sentiment Analysis and Opinion Mining (2 papers). The work is most often cited by research in Environmental Engineering (130 citations), Global and Planetary Change (76 citations) and Health Information Management (15 citations). S. Poornima has collaborated with scholars based in India and Russia. Frequent co-authors include M. Pushpalatha, M. Pushpalatha, S. Kavitha, Raghavendra B. Jana, S. Mohanavalli, K. C. Shashidhar, Shahbaz Syed and Roshan Fernandes. Their work appears in journals such as IEEE Access, Water 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.