B. Padmaja
Impact in
- Health Information Management top 10%
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- Autonomous Vehicle Technology and Safety
Papers in
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- Context-Aware Activity Recognition Systems 3
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- Anomaly Detection Techniques and Applications 4
- Co-authors
- K. V. N. Sunitha (5 shared papers)V. V. Rama Prasad (5 shared papers)Madhu Bala Myneni (1 shared paper)Chellapilla V. K. N. S. N. Moorthy (1 shared paper)S. Dhanapandian (2 shared papers)N. Krishnakumar (1 shared paper)L V Narasimha Prasad (1 shared paper)Abdul Razak (1 shared paper)
In The Last Decade
B. Padmaja
30 papers receiving 267 citations
Peers
Comparison fields: 5 of 85
- Health Information Management 12
- Automotive Engineering 32
- Computer Vision and Pattern Recognition 40
- Experimental and Cognitive Psychology 20
- Artificial Intelligence 51
Countries citing papers authored by B. Padmaja
This map shows the geographic impact of B. Padmaja'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 B. Padmaja with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. Padmaja more than expected).
Fields of papers citing papers by B. Padmaja
This network shows the impact of papers produced by B. Padmaja. 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 B. Padmaja. The network helps show where B. Padmaja may publish in the future.
Co-authors
The 12 scholars most cited alongside B. Padmaja, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 59 | |
| 2 | 2023 | 49 | |
| 3 | 2023 | 18 | |
| 4 | 2023 | 18 | |
| 5 | 2017 | 16 | |
| 6 | 2018 | 15 | |
| 7 | 2019 | 15 | |
| 8 | Early and Accurate Prediction of Heart Disease Using Machine Learning Model | 2021 | 12 |
| 9 | 2024 | 11 | |
| 10 | 2017 | 10 | |
| 11 | 2020 | 9 | |
| 12 | 2014 | 6 | |
| 13 | 2016 | 6 | |
| 14 | 2024 | 5 | |
| 15 | 2013 | 5 | |
| 16 | 2024 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2016 | 3 | |
| 19 | Sentiment Analysis And Text Mining Of Online Customer Reviews For Digital Wallet Apps Of Fintech Industry | 2021 | 3 |
| 20 | Google Firebase based Modern IoT System Architecture | 2021 | 3 |
About B. Padmaja
B. Padmaja is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications and Radiology, Nuclear Medicine and Imaging, having authored 33 papers that have together received 289 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (4 papers), Non-Invasive Vital Sign Monitoring (3 papers), Artificial Intelligence in Healthcare (3 papers), IoT-based Smart Home Systems (3 papers), Fire Detection and Safety Systems (3 papers), Context-Aware Activity Recognition Systems (3 papers), COVID-19 diagnosis using AI (3 papers) and Network Security and Intrusion Detection (3 papers). The work is most often cited by research in Health Information Management (12 citations), Automotive Engineering (32 citations), Computer Vision and Pattern Recognition (40 citations), Experimental and Cognitive Psychology (20 citations) and Artificial Intelligence (51 citations). B. Padmaja has collaborated with scholars based in India, Türkiye and Canada. Frequent co-authors include K. V. N. Sunitha, V. V. Rama Prasad, Madhu Bala Myneni, Chellapilla V. K. N. S. N. Moorthy, S. Dhanapandian, N. Krishnakumar, L V Narasimha Prasad, Abdul Razak, M.S.S. Nagaraju and Ayodele Lasisi. Their work appears in journals such as Journal Of Big Data, Engineering Applications of Artificial Intelligence, Multimedia Tools and Applications, Materials Science and Engineering B and Scientific Reports.
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.