Preeti Aggarwal
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Signal Processing top 10%
- Radiology, Nuclear Medicine and Imaging
- Computer Vision and Pattern Recognition
- Co-authors
- Sudhir Kumar SharmaRenu VigAjay MittalArin KarKrishnamurthy JayannaManoj Kumar PatiH. K. SardanaWim Van Damme
- Topics
- Radiomics and Machine Learning in Medical Imaging (7 papers)AI in cancer detection (6 papers)Lung Cancer Diagnosis and Treatment (6 papers)
In The Last Decade
Preeti Aggarwal
27 papers receiving 436 citations
Peers
Comparison fields: 5 of 92
- Artificial Intelligence 179
- Computer Networks and Communications 149
- Signal Processing 78
- Radiology, Nuclear Medicine and Imaging 59
- Computer Vision and Pattern Recognition 51
Countries citing papers authored by Preeti Aggarwal
This map shows the geographic impact of Preeti Aggarwal'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 Preeti Aggarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Preeti Aggarwal more than expected).
Fields of papers citing papers by Preeti Aggarwal
This network shows the impact of papers produced by Preeti Aggarwal. 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 Preeti Aggarwal. The network helps show where Preeti Aggarwal may publish in the future.
Co-authorship network of co-authors of Preeti Aggarwal
This figure shows the co-authorship network connecting the top 25 collaborators of Preeti Aggarwal. A scholar is included among the top collaborators of Preeti Aggarwal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Preeti Aggarwal. Preeti Aggarwal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 10 | |
| 6 | 14 | |
| 7 | 5 | |
| 8 | 8 | |
| 9 | 47 | |
| 10 | 6 | |
| 11 | 46 | |
| 12 | 4 | |
| 13 | 6 | |
| 14 | Classification of Annotated Pulmonary Nodules with Pathologically Confirmed Malignant, Benign and Metastasis Cases | 0 |
| 15 | 6 | |
| 16 | 3 | |
| 17 | A path to cultivate organisational socialization for its success | 1 |
| 18 | 21 | |
| 19 | 30 | |
| 20 | 29 |
About Preeti Aggarwal
Preeti Aggarwal is a scholar working on Health Information Management, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 31 papers that have together received 480 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (7 papers), AI in cancer detection (6 papers) and Lung Cancer Diagnosis and Treatment (6 papers). The work is most often cited by research in Signal Processing (78 citations), Computer Networks and Communications (149 citations) and Artificial Intelligence (179 citations). Preeti Aggarwal has collaborated with scholars based in India, Canada and Belgium. Frequent co-authors include Sudhir Kumar Sharma, Renu Vig, Ajay Mittal, Arin Kar, Krishnamurthy Jayanna, Manoj Kumar Pati, H. K. Sardana, Wim Van Damme, H L Mohan and Ashwini Pujar. Their work appears in journals such as BMC Public Health, Natural Hazards and International Journal of Oral and Maxillofacial Surgery.
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.