Sunitha Basodi
Impact in
- Pharmacy top 5%
- Infant Health and Development
- Signal Processing top 10%
- Speech and Audio Processing
- Time Series Analysis and Forecasting
Papers in
-
- Functional Brain Connectivity Studies 5
- Co-authors
- Yi Pan (9 shared papers)Chunyan Ji (4 shared papers)Haiping Zhang (1 shared paper)Hong Liu (1 shared paper)Feng Ye (1 shared paper)Ming Yan (2 shared papers)Zhao Tong (1 shared paper)Rafal A. Angryk (2 shared papers)
- Journals
- Neuroinformatics (3 papers)Big Data Mining and Analytics (2 papers)International Journal of Security and Networks (2 papers)Information Sciences (1 paper)BMC Genomics (1 paper)
- Partner nations
- United StatesChinaGreece
In The Last Decade
Sunitha Basodi
16 papers receiving 474 citations
Peers
Comparison fields: 5 of 94
- Pharmacy 60
- Signal Processing 103
- Computer Networks and Communications 145
- Artificial Intelligence 171
- Information Systems 77
Countries citing papers authored by Sunitha Basodi
This map shows the geographic impact of Sunitha Basodi'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 Sunitha Basodi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunitha Basodi more than expected).
Fields of papers citing papers by Sunitha Basodi
This network shows the impact of papers produced by Sunitha Basodi. 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 Sunitha Basodi. The network helps show where Sunitha Basodi may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunitha Basodi, 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 | 2020 | 110 | |
| 2 | 2020 | 96 | |
| 3 | 2020 | 95 | |
| 4 | 2021 | 88 | |
| 5 | 2019 | 32 | |
| 6 | 2019 | 29 | |
| 7 | 2020 | 11 | |
| 8 | 2020 | 7 | |
| 9 | 2019 | 7 | |
| 10 | 2022 | 6 | |
| 11 | 2021 | 5 | |
| 12 | 2020 | 5 | |
| 13 | 2021 | 5 | |
| 14 | 2023 | 4 | |
| 15 | 2020 | 1 | |
| 16 | 2017 | 1 | |
| 17 | 2024 | 0 | |
| 18 | 2018 | 0 |
About Sunitha Basodi
Sunitha Basodi is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Computer Networks and Communications, Pediatrics, Perinatology and Child Health and Pharmacy, having authored 18 papers that have together received 502 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (5 papers), Infant Health and Development (3 papers), Neonatal and fetal brain pathology (3 papers), Advanced Neural Network Applications (2 papers), Solar and Space Plasma Dynamics (2 papers), Network Security and Intrusion Detection (2 papers), IoT and Edge/Fog Computing (2 papers) and Advanced Neuroimaging Techniques and Applications (2 papers). The work is most often cited by research in Pharmacy (60 citations), Signal Processing (103 citations), Computer Networks and Communications (145 citations), Artificial Intelligence (171 citations) and Information Systems (77 citations). Sunitha Basodi has collaborated with scholars based in United States, China and Greece. Frequent co-authors include Yi Pan, Chunyan Ji, Haiping Zhang, Hong Liu, Feng Ye, Ming Yan, Zhao Tong, Feng Ye, Rafal A. Angryk and Berkay Aydin. Their work appears in journals such as Neuroinformatics, Big Data Mining and Analytics, International Journal of Security and Networks, Information Sciences and BMC Genomics.
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.