A. Anitha
Impact in
- Information Systems top 10%
- Data Mining Algorithms and Applications
- Recommender Systems and Techniques
- Web Data Mining and Analysis
- Health Information Management top 10%
Papers in
-
- Data Mining Algorithms and Applications 8
- Recommender Systems and Techniques 4
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- Imbalanced Data Classification Techniques 6
- Anomaly Detection Techniques and Applications 3
- Co-authors
- D. P. Acharjya (5 shared papers)E. Kannan (3 shared papers)Sathish Kumar (1 shared paper)R. Mathammal (2 shared papers)Rajaram Rajamohan (1 shared paper)Krishnan Nallaperumal (2 shared papers)K. Sivakumar (1 shared paper)V. Kalaiselvi (1 shared paper)
- Journals
- Neural Computing and Applications (2 papers)Materials Science and Engineering B (2 papers)BioMetals (1 paper)Scientific Reports (1 paper)IEEE Access (1 paper)
- Partner nations
- IndiaUnited States
In The Last Decade
A. Anitha
42 papers receiving 405 citations
Peers
Comparison fields: 5 of 93
- Information Systems 106
- Health Information Management 20
- Computer Science Applications 16
- Computer Vision and Pattern Recognition 57
- Computational Theory and Mathematics 42
Countries citing papers authored by A. Anitha
This map shows the geographic impact of A. Anitha'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 A. Anitha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Anitha more than expected).
Fields of papers citing papers by A. Anitha
This network shows the impact of papers produced by A. Anitha. 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 A. Anitha. The network helps show where A. Anitha may publish in the future.
Co-authors
The 22 scholars most cited alongside A. Anitha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 45 | |
| 2 | 2017 | 45 | |
| 3 | 2017 | 38 | |
| 4 | 2017 | 36 | |
| 5 | 2023 | 23 | |
| 6 | 2010 | 23 | |
| 7 | 2023 | 23 | |
| 8 | 2020 | 22 | |
| 9 | 2018 | 20 | |
| 10 | 2015 | 19 | |
| 11 | 2021 | 19 | |
| 12 | 2023 | 12 | |
| 13 | 2024 | 12 | |
| 14 | 2023 | 10 | |
| 15 | 2018 | 10 | |
| 16 | 2017 | 9 | |
| 17 | 2023 | 7 | |
| 18 | 2016 | 7 | |
| 19 | 2011 | 7 | |
| 20 | 2017 | 7 |
About A. Anitha
A. Anitha is a scholar working on Information Systems, Artificial Intelligence, Computational Theory and Mathematics, Electrical and Electronic Engineering and Environmental Engineering, having authored 49 papers that have together received 448 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (8 papers), Rough Sets and Fuzzy Logic (8 papers), Imbalanced Data Classification Techniques (6 papers), Recommender Systems and Techniques (4 papers), Hydrological Forecasting Using AI (4 papers), Bone Tissue Engineering Materials (3 papers), Artificial Intelligence in Healthcare (3 papers) and Anomaly Detection Techniques and Applications (3 papers). The work is most often cited by research in Information Systems (106 citations), Health Information Management (20 citations), Computer Science Applications (16 citations), Computer Vision and Pattern Recognition (57 citations) and Computational Theory and Mathematics (42 citations). A. Anitha has collaborated with scholars based in India and United States. Frequent co-authors include D. P. Acharjya, E. Kannan, Sathish Kumar, R. Mathammal, Rajaram Rajamohan, Krishnan Nallaperumal, K. Sivakumar, V. Kalaiselvi, M. Sathishkumar and P. Ponmurugan. Their work appears in journals such as Neural Computing and Applications, Materials Science and Engineering B, BioMetals, 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.