Preeti Aggarwal

960 total citations
31 papers, 480 citations indexed

About

Preeti Aggarwal is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Preeti Aggarwal has authored 31 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Preeti Aggarwal's 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). Preeti Aggarwal is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), AI in cancer detection (6 papers) and Lung Cancer Diagnosis and Treatment (6 papers). Preeti Aggarwal collaborates with scholars based in India, Canada and Belgium. Preeti Aggarwal's co-authors include Sudhir Kumar Sharma, Renu Vig, Ajay Mittal, Arin Kar, Manoj Kumar Pati, Krishnamurthy Jayanna, H. K. Sardana, Wim Van Damme, H L Mohan and Satyanarayana Ramanaik and has published in prestigious journals such as BMC Public Health, Natural Hazards and International Journal of Oral and Maxillofacial Surgery.

In The Last Decade

Preeti Aggarwal

27 papers receiving 436 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Preeti Aggarwal India 10 179 149 78 59 51 31 480
Fatemeh Rahimian Sweden 9 175 1.0× 136 0.9× 31 0.4× 40 0.7× 82 1.6× 20 577
Marina Velikova Netherlands 11 273 1.5× 24 0.2× 25 0.3× 38 0.6× 62 1.2× 28 468
Gang Hu China 11 90 0.5× 70 0.5× 21 0.3× 9 0.2× 45 0.9× 33 379
Yoni Halpern United States 9 489 2.7× 29 0.2× 23 0.3× 49 0.8× 39 0.8× 16 838
Mehdi Teimouri Iran 10 83 0.5× 62 0.4× 47 0.6× 27 0.5× 48 0.9× 47 263
David Riaño Spain 12 216 1.2× 31 0.2× 13 0.2× 12 0.2× 21 0.4× 50 440
Shoji Hirano Japan 13 186 1.0× 22 0.1× 100 1.3× 28 0.5× 53 1.0× 112 553
Daniel Gärtner United Kingdom 12 70 0.4× 8 0.1× 58 0.7× 13 0.2× 50 1.0× 61 520
Miroslav Marinov Bulgaria 6 201 1.1× 19 0.1× 24 0.3× 19 0.3× 37 0.7× 19 487
Omolola Ogunyemi United States 16 292 1.6× 23 0.2× 7 0.1× 128 2.2× 18 0.4× 42 974

Countries citing papers authored by Preeti Aggarwal

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Kapoor, Neelkamal, Preeti Aggarwal, & Akashdeep Sharma. (2025). Smart-VDCTC: Smart vehicular detection classification and traffic control for Indian urban traffic. Multimedia Tools and Applications. 84(32). 39693–39717.
2.
Aggarwal, Preeti, et al.. (2024). Estimation of missing weather variables using different data mining techniques for avalanche forecasting. Natural Hazards. 120(6). 5075–5098. 3 indexed citations
3.
Aggarwal, Preeti, et al.. (2024). Lung cancer survival prognosis using a two-stage modeling approach. Multimedia Tools and Applications. 83(22). 61407–61434. 6 indexed citations
4.
Aggarwal, Preeti, et al.. (2024). Computer-Aided Classification of Melanoma: A Comprehensive Survey. Archives of Computational Methods in Engineering. 31(8). 4893–4927.
5.
Aggarwal, Preeti, et al.. (2023). Text classification framework for short text based on TFIDF-FastText. Multimedia Tools and Applications. 82(26). 40167–40180. 10 indexed citations
6.
Gupta, Aastha, Ajay Mittal, Preeti Aggarwal, et al.. (2023). Semantic segmentation of palpebral conjunctiva using predefined deep neural architectures for anemia detection. Procedia Computer Science. 218. 328–337. 14 indexed citations
7.
8.
Aggarwal, Preeti, et al.. (2021). A multi-model decision support system (MM-DSS) for avalanche hazard prediction over North-West Himalaya. Natural Hazards. 110(1). 563–585. 8 indexed citations
9.
Pati, Manoj Kumar, et al.. (2020). A narrative review of gaps in the provision of integrated care for noncommunicable diseases in India. Public health reviews. 41(1). 8–8. 47 indexed citations
10.
Ganapathy, Krishnan, et al.. (2019). Telemedicine in Camp Mode While Screening for Noncommunicable Diseases: A Preliminary Report from India. Telemedicine Journal and e-Health. 26(1). 42–50. 6 indexed citations
11.
Jayanna, Krishnamurthy, Arin Kar, Satyanarayana Ramanaik, et al.. (2019). Designing a comprehensive Non-Communicable Diseases (NCD) programme for hypertension and diabetes at primary health care level: evidence and experience from urban Karnataka, South India. BMC Public Health. 19(1). 409–409. 46 indexed citations
12.
Aggarwal, Preeti & Deepak Dahiya. (2016). Contribution of Four Class Labeled Attributes of Kdd Dataset on Detection and False Alarm Rate for Intrusion Detection System. Indian Journal of Science and Technology. 9(5). 4 indexed citations
13.
Aggarwal, Preeti, Renu Vig, & H. K. Sardana. (2016). Lung Cancer Detection Using Fusion of Medical Knowledge and Content Based Image Retrieval for LIDC Dataset. Journal of Medical Imaging and Health Informatics. 6(2). 297–311. 3 indexed citations
14.
Aggarwal, Preeti & Sudhir Kumar Sharma. (2015). Analysis of KDD Dataset Attributes - Class wise for Intrusion Detection. Procedia Computer Science. 57. 842–851. 142 indexed citations
15.
Aggarwal, Preeti, H. K. Sardana, & Renu Vig. (2014). Classification of Annotated Pulmonary Nodules with Pathologically Confirmed Malignant, Benign and Metastasis Cases. 12(1). 22–38.
16.
Aggarwal, Preeti, et al.. (2014). International cooperation in cyber space to combat cyber crime and terrorism. 465. 1–4. 6 indexed citations
17.
Aggarwal, Preeti, H. K. Sardana, & Renu Vig. (2013). Content-based medical image retrieval using patient's semantics with proven pathology for lung cancer diagnosis. 345–351. 3 indexed citations
18.
Aggarwal, Preeti, et al.. (2012). A path to cultivate organisational socialization for its success. 2(6). 90–103. 1 indexed citations
19.
Aggarwal, Preeti, et al.. (2012). Comparison of Segmentation Tools for Multiple Modalities in Medical Imaging. Journal of Advances in Information Technology. 3(4). 21 indexed citations
20.
Aggarwal, Preeti, et al.. (1996). Oral myiasis. International Journal of Oral and Maxillofacial Surgery. 25(6). 455–456. 29 indexed citations

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.

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