Sonali Agarwal
Impact in
- Health Information Management top 0.2%
- Artificial Intelligence in Healthcare
- Artificial Intelligence top 1%
- Imbalanced Data Classification Techniques
- Anomaly Detection Techniques and Applications
- AI in cancer detection
- Data Stream Mining Techniques
Papers in
-
- Data Stream Mining Techniques 20
- Imbalanced Data Classification Techniques 17
- Anomaly Detection Techniques and Applications 14
- Text and Document Classification Technologies 12
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- Face and Expression Recognition 16
- Co-authors
- Divya Tomar (25 shared papers)Narinder Singh Punn (17 shared papers)Sanjay Kumar Sonbhadra (27 shared papers)Ari Trachtenberg (7 shared papers)David Starobinski (4 shared papers)P. Nagabhushan (10 shared papers)Shwet Ketu (3 shared papers)Krishna Pratap Singh (1 shared paper)
- Journals
- Knowledge-Based Systems (3 papers)Multimedia Tools and Applications (2 papers)Lecture notes in computer science (11 papers)Big Data (1 paper)Chaos Solitons & Fractals (1 paper)
- Partner nations
- IndiaIndonesiaUnited States
In The Last Decade
Sonali Agarwal
156 papers receiving 2.6k citations
Sonali Agarwal's Hit Papers
Peers
Comparison fields: 5 of 170
- Health Information Management 436
- Artificial Intelligence 1.2k
- Computer Vision and Pattern Recognition 613
- Software 105
- Information Systems 546
Countries citing papers authored by Sonali Agarwal
This map shows the geographic impact of Sonali Agarwal'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 Sonali Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonali Agarwal more than expected).
Fields of papers citing papers by Sonali Agarwal
This network shows the impact of papers produced by Sonali Agarwal. 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 Sonali Agarwal. The network helps show where Sonali Agarwal may publish in the future.
Co-authors
The 25 scholars most cited alongside Sonali Agarwal, 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 169 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A survey on Data Mining approaches for Healthcare Hit paper breakdown → | 2013 | 373 |
| 2 | 2022 | 141 | |
| 3 | 2015 | 130 | |
| 4 | 2020 | 107 | |
| 5 | 2020 | 97 | |
| 6 | 2015 | 95 | |
| 7 | 2014 | 77 | |
| 8 | 2012 | 71 | |
| 9 | 2009 | 65 | |
| 10 | 2002 | 57 | |
| 11 | 2022 | 56 | |
| 12 | 2022 | 54 | |
| 13 | 2003 | 49 | |
| 14 | 2015 | 47 | |
| 15 | 2016 | 45 | |
| 16 | 2020 | 42 | |
| 17 | 2014 | 41 | |
| 18 | 2020 | 39 | |
| 19 | 2016 | 39 | |
| 20 | 2019 | 37 |
About Sonali Agarwal
Sonali Agarwal is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Computer Networks and Communications and Health Information Management, having authored 169 papers that have together received 2.8k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (21 papers), Data Stream Mining Techniques (20 papers), Imbalanced Data Classification Techniques (17 papers), Face and Expression Recognition (16 papers), Anomaly Detection Techniques and Applications (14 papers), Text and Document Classification Technologies (12 papers), Data Mining Algorithms and Applications (10 papers) and Time Series Analysis and Forecasting (10 papers). The work is most often cited by research in Health Information Management (436 citations), Artificial Intelligence (1.2k citations), Computer Vision and Pattern Recognition (613 citations), Software (105 citations) and Information Systems (546 citations). Sonali Agarwal has collaborated with scholars based in India, Indonesia and United States. Frequent co-authors include Divya Tomar, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Ari Trachtenberg, David Starobinski, P. Nagabhushan, Shwet Ketu, Krishna Pratap Singh, Pavan Chakraborty and Navjot Singh. Their work appears in journals such as Knowledge-Based Systems, Multimedia Tools and Applications, Lecture notes in computer science, Big Data and Chaos Solitons & Fractals.
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.