Priya Aggarwal

865 total citations
22 papers, 443 citations indexed

About

Priya Aggarwal is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Priya Aggarwal has authored 22 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Cognitive Neuroscience and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Priya Aggarwal's work include Functional Brain Connectivity Studies (7 papers), Advanced Neuroimaging Techniques and Applications (6 papers) and Advanced MRI Techniques and Applications (5 papers). Priya Aggarwal is often cited by papers focused on Functional Brain Connectivity Studies (7 papers), Advanced Neuroimaging Techniques and Applications (6 papers) and Advanced MRI Techniques and Applications (5 papers). Priya Aggarwal collaborates with scholars based in India, United States and Denmark. Priya Aggarwal's co-authors include Anubha Gupta, Carol A. Bessel, Kenneth J. Takeuchi, Amy C. Marschilok, Pushpendra Singh, Binish Fatimah, Shiv Dutt Joshi, João Fernandes, Pierre Johansen and Zobair M. Younossi and has published in prestigious journals such as Chemical Reviews, PLoS ONE and Neurocomputing.

In The Last Decade

Priya Aggarwal

19 papers receiving 438 citations

Peers

Priya Aggarwal
Wenyu Gao China
Mujeeb A. Sultan Saudi Arabia
Yufei Wu China
Ritika Jain India
Guoping Li China
Qian Guo China
Wenyu Gao China
Priya Aggarwal
Citations per year, relative to Priya Aggarwal Priya Aggarwal (= 1×) peers Wenyu Gao

Countries citing papers authored by Priya Aggarwal

Since Specialization
Citations

This map shows the geographic impact of Priya 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 Priya Aggarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Priya Aggarwal more than expected).

Fields of papers citing papers by Priya Aggarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Priya 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 Priya Aggarwal. The network helps show where Priya Aggarwal may publish in the future.

Co-authorship network of co-authors of Priya Aggarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Priya Aggarwal. A scholar is included among the top collaborators of Priya 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 Priya Aggarwal. Priya 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.
Gupta, Anubha, Pushpendra Singh, Priya Aggarwal, & Shiv Dutt Joshi. (2024). Unified framework for linear scale invariant signals, systems, and transforms: A tutorial. Digital Signal Processing. 157. 104880–104880.
2.
Aggarwal, Priya, et al.. (2023). BPADTA: Blockchain-based privacy-preserving authentication scheme for digital twin empowered aerospace industry. Computers & Electrical Engineering. 111. 108889–108889. 15 indexed citations
3.
Aggarwal, Priya, Bhawna Narwal, Amar Kumar Mohapatra, & Pooja Bhati. (2023). Digital Twin in the Aviation Industry and the Role of Machine Learning: A Review. Lecture notes in networks and systems. 445–455.
4.
Aggarwal, Priya, et al.. (2022). COVID-19 image classification using deep learning: Advances, challenges and opportunities. Computers in Biology and Medicine. 144. 105350–105350. 90 indexed citations
5.
Fatimah, Binish, Priya Aggarwal, Pushpendra Singh, & Anubha Gupta. (2022). A comparative study for predictive monitoring of COVID-19 pandemic. Applied Soft Computing. 122. 108806–108806. 7 indexed citations
6.
Younossi, Zobair M., et al.. (2022). The burden of non-alcoholic steatohepatitis: A systematic review of health-related quality of life and patient-reported outcomes. JHEP Reports. 4(9). 100525–100525. 63 indexed citations
7.
Aggarwal, Priya, et al.. (2022). GCRS: A hybrid graph convolutional network for risk stratification in multiple myeloma cancer patients. Computers in Biology and Medicine. 149. 106048–106048. 3 indexed citations
8.
Aggarwal, Priya & Anubha Gupta. (2019). Multivariate graph learning for detecting aberrant connectivity of dynamic brain networks in autism. Medical Image Analysis. 56. 11–25. 18 indexed citations
9.
Aggarwal, Priya & Anubha Gupta. (2019). Group-fused multivariate regression modeling for group-level brain networks. Neurocomputing. 363. 140–148. 3 indexed citations
10.
Aggarwal, Priya & Anubha Gupta. (2018). Low rank and sparsity constrained method for identifying overlapping functional brain networks. PLoS ONE. 13(11). e0208068–e0208068. 8 indexed citations
11.
12.
Aggarwal, Priya & Anubha Gupta. (2017). Double temporal sparsity based accelerated reconstruction of compressively sensed resting-state fMRI. Computers in Biology and Medicine. 91. 255–266. 8 indexed citations
13.
Aggarwal, Priya, Anubha Gupta, & Ajay Garg. (2017). Multivariate brain network graph identification in functional MRI. Medical Image Analysis. 42. 228–240. 15 indexed citations
14.
Aggarwal, Priya, et al.. (2016). Classification of Schizophrenia versus normal subjects using deep learning. 1–6. 36 indexed citations
15.
Aggarwal, Priya & Anubha Gupta. (2016). Accelerated fMRI reconstruction using Matrix Completion with Sparse Recovery via Split Bregman. Neurocomputing. 216. 319–330. 14 indexed citations
16.
Aggarwal, Priya, Anubha Gupta, & Ajay Garg. (2015). Joint estimation of activity signal and HRF in fMRI using fused LASSO. 829–833. 1 indexed citations
17.
Aggarwal, Priya, et al.. (2014). Study Habits of Higher Performing Engineering Students: A Survey. International Journal of Computer Applications. 97(2). 33–37. 4 indexed citations
18.
Aggarwal, Priya, et al.. (2014). A digitally controlled floating resistor using CMOS translinear cells. 1–4. 3 indexed citations
19.
Kochar, D K, et al.. (2002). Scorpion envenomation causing hemiparesis.. PubMed. 50. 606–7. 7 indexed citations
20.
Bessel, Carol A., Priya Aggarwal, Amy C. Marschilok, & Kenneth J. Takeuchi. (2001). Transition-Metal Complexes Containing trans-Spanning Diphosphine Ligands. Chemical Reviews. 101(4). 1031–1066. 134 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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