S. Abirami
- Environmental Engineering top 10%
- Artificial Intelligence top 10%
- Health, Toxicology and Mutagenesis top 10%
- Plant Science
- Analytical Chemistry top 10%
- Co-authors
- Ashok Kumar JErik CambriaS. Rubalya ValantinaS. PalanivelV. RamalingamKhalid Rehman HakeemV.V.S. Kesava RaoV. K. Dadhwal
- Topics
- Spectroscopy and Chemometric Analyses (7 papers)Air Quality Monitoring and Forecasting (6 papers)Air Quality and Health Impacts (5 papers)
In The Last Decade
S. Abirami
40 papers receiving 339 citations
Peers
Comparison fields: 5 of 83
- Environmental Engineering 115
- Artificial Intelligence 97
- Health, Toxicology and Mutagenesis 81
- Plant Science 66
- Analytical Chemistry 54
Countries citing papers authored by S. Abirami
This map shows the geographic impact of S. Abirami'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. Abirami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Abirami more than expected).
Fields of papers citing papers by S. Abirami
This network shows the impact of papers produced by S. Abirami. 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. Abirami. The network helps show where S. Abirami may publish in the future.
Co-authorship network of co-authors of S. Abirami
This figure shows the co-authorship network connecting the top 25 collaborators of S. Abirami. A scholar is included among the top collaborators of S. Abirami 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. Abirami. S. Abirami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 8 | |
| 9 | 10 | |
| 10 | 32 | |
| 11 | 43 | |
| 12 | 74 | |
| 13 | 5 | |
| 14 | 5 | |
| 15 | Offline Tamil Handwritten Character Recognition Using Statistical Based Quad Tree | 6 |
| 16 | Unsupervised Segmentation of Retinal Vessels from Fundus Fluorescein Angiogram Images | 1 |
| 17 | Expression of Heterosis for Quality Traits in Soybean | 1 |
| 18 | Detecting and Revamping of X-Outliers in Time Series Database | 2 |
| 19 | Correlation and path coefficient analysis for morphological and biochemical traits in maize genotypes. | 4 |
| 20 | Studies on heterosis for yield and related characters in rice hybrids. | 5 |
About S. Abirami
S. Abirami is a scholar working on Analytical Chemistry, Environmental Engineering and Automotive Engineering, having authored 47 papers that have together received 365 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (7 papers), Air Quality Monitoring and Forecasting (6 papers) and Air Quality and Health Impacts (5 papers). The work is most often cited by research in Environmental Engineering (115 citations), Health, Toxicology and Mutagenesis (81 citations) and Analytical Chemistry (54 citations). S. Abirami has collaborated with scholars based in India and Singapore. Frequent co-authors include Ashok Kumar J, Erik Cambria, S. Rubalya Valantina, S. Palanivel, V. Ramalingam, Khalid Rehman Hakeem, V.V.S. Kesava Rao, V. K. Dadhwal, P. G. Diwakar and R. Baskaran. Their work appears in journals such as Journal of Cleaner Production, Scientific Reports and IEEE Access.
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.