Sravani Nalluri
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- Artificial Intelligence in Healthcare 3
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- Traditional Chinese Medicine Studies 1
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- COVID-19 diagnosis using AI 2
- Radiomics and Machine Learning in Medical Imaging 1
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- Phonocardiography and Auscultation Techniques 1
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- Pneumonia and Respiratory Infections 1
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- Traffic Prediction and Management Techniques 1
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- Network Security and Intrusion Detection 1
Sravani Nalluri
7 papers receiving 80 citations
Peers
Comparison fields: 5 of 38
- Health Information Management 48
- Health Informatics 4
- Artificial Intelligence 56
- Complementary and alternative medicine 10
- Radiology, Nuclear Medicine and Imaging 19
Countries citing papers authored by Sravani Nalluri
This map shows the geographic impact of Sravani Nalluri'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 Sravani Nalluri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sravani Nalluri more than expected).
Fields of papers citing papers by Sravani Nalluri
This network shows the impact of papers produced by Sravani Nalluri. 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 Sravani Nalluri. The network helps show where Sravani Nalluri may publish in the future.
Co-authorship network
The 3 scholars most cited alongside Sravani Nalluri, 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 | 2023 | 11 | |
| 2 | 2022 | 9 | |
| 3 | 2020 | 1 | |
| 4 | 2020 | 2 | |
| 5 | 2019 | 2 | |
| 6 | 2019 | 8 | |
| 7 | 2017 | 59 |
About Sravani Nalluri
Sravani Nalluri is a scholar working on Health Information Management, Complementary and alternative medicine and Radiology, Nuclear Medicine and Imaging, having authored 7 papers that have together received 92 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (3 papers), COVID-19 diagnosis using AI (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Phonocardiography and Auscultation Techniques (1 paper), Pneumonia and Respiratory Infections (1 paper), Traffic Prediction and Management Techniques (1 paper), Network Security and Intrusion Detection (1 paper) and Traditional Chinese Medicine Studies (1 paper). The work is most often cited by research in Health Information Management (48 citations), Health Informatics (4 citations) and Artificial Intelligence (56 citations). Sravani Nalluri has collaborated with scholars based in India. Frequent co-authors include R. Sasikala, Somula Ramasubbareddy and S Remya. Their work appears in journals such as Expert Systems with Applications, Journal of Computational and Theoretical Nanoscience and International Journal of Systems Assurance Engineering and Management.
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.