Hemant Kumar Aggarwal

994 total citations
42 papers, 711 citations indexed

About

Hemant Kumar Aggarwal is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computational Mechanics. According to data from OpenAlex, Hemant Kumar Aggarwal has authored 42 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 18 papers in Media Technology and 15 papers in Computational Mechanics. Recurrent topics in Hemant Kumar Aggarwal's work include Image and Signal Denoising Methods (16 papers), Sparse and Compressive Sensing Techniques (15 papers) and Advanced Image Fusion Techniques (13 papers). Hemant Kumar Aggarwal is often cited by papers focused on Image and Signal Denoising Methods (16 papers), Sparse and Compressive Sensing Techniques (15 papers) and Advanced Image Fusion Techniques (13 papers). Hemant Kumar Aggarwal collaborates with scholars based in India, United States and Canada. Hemant Kumar Aggarwal's co-authors include Angshul Majumdar, Mathews Jacob, Merry Mani, Snigdha Tariyal, Vanika Singhal, Vincent A. Magnotta, Sonajharia Minz, Rashmi Aggarwal, Rabab Ward and V. D. Ambeth Kumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Magnetic Resonance in Medicine.

In The Last Decade

Hemant Kumar Aggarwal

35 papers receiving 700 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hemant Kumar Aggarwal India 14 358 355 216 189 98 42 711
Stamatios Lefkimmiatis Switzerland 11 410 1.1× 199 0.6× 133 0.6× 260 1.4× 174 1.8× 27 693
David M. Strong United States 6 300 0.8× 78 0.2× 79 0.4× 162 0.9× 84 0.9× 16 524
Chengda Yang United States 3 413 1.2× 159 0.4× 117 0.5× 283 1.5× 96 1.0× 3 671
Marc Lebrun France 11 812 2.3× 531 1.5× 71 0.3× 115 0.6× 94 1.0× 11 923
Mejdi Trimeche Finland 7 538 1.5× 310 0.9× 32 0.1× 51 0.3× 65 0.7× 17 672
Kristofor B. Gibson United States 11 729 2.0× 398 1.1× 35 0.2× 98 0.5× 81 0.8× 18 856
Daisuke Iso United States 3 627 1.8× 578 1.6× 21 0.1× 165 0.9× 162 1.7× 5 867
Kenneth J. Barnard United States 9 613 1.7× 409 1.2× 22 0.1× 102 0.5× 69 0.7× 29 791
Markku Mäkitalo Finland 9 529 1.5× 257 0.7× 83 0.4× 129 0.7× 127 1.3× 25 684
Xiaotong Lu China 5 304 0.8× 160 0.5× 66 0.3× 76 0.4× 69 0.7× 9 435

Countries citing papers authored by Hemant Kumar Aggarwal

Since Specialization
Citations

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

Fields of papers citing papers by Hemant Kumar Aggarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hemant Kumar Aggarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Hemant Kumar Aggarwal. A scholar is included among the top collaborators of Hemant Kumar 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 Hemant Kumar Aggarwal. Hemant Kumar 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.
2.
Aggarwal, Hemant Kumar & Mathews Jacob. (2020). J-MoDL: Joint Model-Based Deep Learning for Optimized Sampling and Reconstruction. IEEE Journal of Selected Topics in Signal Processing. 14(6). 1151–1162. 72 indexed citations
3.
Aggarwal, Rashmi, et al.. (2020). Vitamin D and COVID-19. International Journal of Research in Medical Sciences. 8(6). 2346–2346. 1 indexed citations
4.
Aggarwal, Hemant Kumar & Mathews Jacob. (2020). Joint Optimization of Sampling Pattern and Priors in Model Based Deep Learning. PubMed. 38. 926–929. 1 indexed citations
5.
Aggarwal, Hemant Kumar, et al.. (2019). Label-Consistent Transform Learning for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 16(9). 1502–1506. 13 indexed citations
6.
Sekhri, Tarun, et al.. (2019). Vitamin B12 deficiency in patients with type 2 diabetes. International Journal of Advances in Medicine. 6(3). 851–851. 1 indexed citations
7.
Aggarwal, Hemant Kumar, Merry Mani, & Mathews Jacob. (2019). MoDL-MUSSELS: Model-Based Deep Learning for Multishot Sensitivity-Encoded Diffusion MRI. IEEE Transactions on Medical Imaging. 39(4). 1268–1277. 36 indexed citations
8.
Aggarwal, Hemant Kumar, Merry Mani, & Mathews Jacob. (2019). Multi-Shot Sensitivity-Encoded Diffusion MRI Using Model-Based Deep Learning (Modl-Mussels). PubMed. 2019. 1541–1544. 7 indexed citations
9.
Mani, Merry, Hemant Kumar Aggarwal, Vincent A. Magnotta, & Mathews Jacob. (2019). Improved MUSSELS reconstruction for high‐resolution multi‐shot diffusion weighted imaging. Magnetic Resonance in Medicine. 83(6). 2253–2263. 20 indexed citations
10.
Aggarwal, Rashmi, et al.. (2018). Nipah virus. MOJ Public Health. 7(6). 250–252.
11.
Aggarwal, Hemant Kumar, Merry Mani, & Mathews Jacob. (2018). Model based image reconstruction using deep learned priors (MODL). PubMed. 2018. 671–674. 12 indexed citations
12.
Aggarwal, Hemant Kumar, et al.. (2018). Model-Based Free-Breathing Cardiac MRI Reconstruction Using Deep Learned & Storm Priors: MODL-STORM. PubMed. 2018. 6533–6537. 5 indexed citations
13.
Kumar, V. D. Ambeth, et al.. (2017). A Simple Technique for Palm Recognition Using Major Lines. 17(2). 38–43.
14.
Aggarwal, Rashmi, et al.. (2016). Zika virus disease. International Journal of Community Medicine and Public Health. 1352–1354. 1 indexed citations
15.
Aggarwal, Hemant Kumar & Angshul Majumdar. (2016). Hyperspectral Image Denoising Using Spatio-Spectral Total Variation. IEEE Geoscience and Remote Sensing Letters. 1–5. 196 indexed citations
16.
Majumdar, Angshul, et al.. (2015). Hyper-spectral impulse denoising: A row-sparse Blind Compressed Sensing formulation. 96. 1260–1264. 1 indexed citations
17.
Aggarwal, Hemant Kumar & Angshul Majumdar. (2015). Multi-spectral demosaicing: A joint-sparse elastic-net formulation. 8299. 1–5. 5 indexed citations
18.
Aggarwal, Hemant Kumar, Snigdha Tariyal, & Angshul Majumdar. (2015). Compressive hyper-spectral imaging in the presence of impulse noise. 9. 1–4. 2 indexed citations
19.
Aggarwal, Hemant Kumar & Angshul Majumdar. (2015). Blind hyperspectral denoising. 54. 1–4. 1 indexed citations
20.
Aggarwal, Hemant Kumar & Sonajharia Minz. (2014). Change Detection Using Unsupervised Learning Algorithms for Delhi, India. 13(4). 6 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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