Vanika Singhal

487 total citations
19 papers, 305 citations indexed

About

Vanika Singhal is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Signal Processing. According to data from OpenAlex, Vanika Singhal has authored 19 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 7 papers in Computational Mechanics and 5 papers in Signal Processing. Recurrent topics in Vanika Singhal's work include Sparse and Compressive Sensing Techniques (7 papers), Image and Signal Denoising Methods (5 papers) and Face recognition and analysis (3 papers). Vanika Singhal is often cited by papers focused on Sparse and Compressive Sensing Techniques (7 papers), Image and Signal Denoising Methods (5 papers) and Face recognition and analysis (3 papers). Vanika Singhal collaborates with scholars based in India, Canada and United States. Vanika Singhal's co-authors include Angshul Majumdar, Snigdha Tariyal, Hemant Kumar Aggarwal, Rabab Ward, Amita Chudgar, Sandeep Dutta and Deepa Anand and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and IEEE Transactions on Smart Grid.

In The Last Decade

Vanika Singhal

18 papers receiving 293 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vanika Singhal India 9 146 108 103 55 49 19 305
Kan Chang China 12 256 1.8× 28 0.3× 31 0.3× 52 0.9× 147 3.0× 51 419
Steven Walton United States 3 201 1.4× 79 0.7× 23 0.2× 8 0.1× 72 1.5× 5 296
Pérez United Kingdom 3 207 1.4× 152 1.4× 34 0.3× 8 0.1× 25 0.5× 4 290
Fabio Cermelli Italy 8 222 1.5× 237 2.2× 14 0.1× 11 0.2× 21 0.4× 13 323
Kewei Tang China 9 236 1.6× 90 0.8× 11 0.1× 112 2.0× 86 1.8× 26 311
Ruoyi Du China 7 145 1.0× 108 1.0× 10 0.1× 9 0.2× 33 0.7× 21 240
Elad Hoffer Israel 5 183 1.3× 152 1.4× 43 0.4× 6 0.1× 14 0.3× 10 256
Gyoo‐Soo Chae South Korea 7 38 0.3× 64 0.6× 41 0.4× 6 0.1× 12 0.2× 41 220
Hanlin Goh Singapore 9 163 1.1× 74 0.7× 25 0.2× 9 0.2× 46 0.9× 20 256
Xuhui Liu China 7 151 1.0× 47 0.4× 23 0.2× 14 0.3× 38 0.8× 18 260

Countries citing papers authored by Vanika Singhal

Since Specialization
Citations

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

Fields of papers citing papers by Vanika Singhal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vanika Singhal

This figure shows the co-authorship network connecting the top 25 collaborators of Vanika Singhal. A scholar is included among the top collaborators of Vanika Singhal 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 Vanika Singhal. Vanika Singhal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
2.
Chudgar, Amita, et al.. (2022). Child labor as a barrier to foundational skills: Evidence from Bangladesh and Pakistan. Prospects. 52(1-2). 137–156. 5 indexed citations
3.
Singhal, Vanika, et al.. (2021). Noise characteristics in low to high kVp domain translation with Deep Regression Network. 119–119. 1 indexed citations
4.
Singhal, Vanika & Angshul Majumdar. (2019). A domain adaptation approach to solve inverse problems in imaging via coupled deep dictionary learning. Pattern Recognition. 100. 107163–107163. 16 indexed citations
5.
Singhal, Vanika & Angshul Majumdar. (2019). Age and Gender Estimation via Deep Dictionary Learning Regression. 1–8. 4 indexed citations
6.
Singhal, Vanika, et al.. (2018). Solving Inverse Problems in Imaging via Deep Dictionary Learning. IEEE Access. 7. 37039–37049. 7 indexed citations
7.
Singhal, Vanika, et al.. (2018). Simultaneous Detection of Multiple Appliances From Smart-Meter Measurements via Multi-Label Consistent Deep Dictionary Learning and Deep Transform Learning. IEEE Transactions on Smart Grid. 10(3). 2969–2978. 87 indexed citations
8.
Singhal, Vanika & Angshul Majumdar. (2018). Row-Sparse Discriminative Deep Dictionary Learning for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(12). 5019–5028. 16 indexed citations
9.
Singhal, Vanika & Angshul Majumdar. (2018). Supervised Deep Dictionary Learning for Single Label and Multi-Label Classification. 1–7. 6 indexed citations
10.
Majumdar, Angshul & Vanika Singhal. (2017). Noisy deep dictionary learning: Application to Alzheimer's Disease classification. 15 indexed citations
11.
Singhal, Vanika & Angshul Majumdar. (2017). Noisy Deep Dictionary Learning. 1–10. 4 indexed citations
12.
Singhal, Vanika, et al.. (2017). Deep Blind Compressed Sensing. 459–459. 4 indexed citations
13.
Singhal, Vanika, et al.. (2017). Class-wise deep dictionary learning. 1125–1132. 3 indexed citations
14.
Singhal, Vanika, et al.. (2017). How to Train Your Neural Network with Dictionary Learning. 460–460. 5 indexed citations
15.
Singhal, Vanika & Angshul Majumdar. (2017). Majorization Minimization Technique for Optimally Solving Deep Dictionary Learning. Neural Processing Letters. 47(3). 799–814. 17 indexed citations
16.
Singhal, Vanika, Angshul Majumdar, & Rabab Ward. (2017). Semi-Supervised Deep Blind Compressed Sensing for Analysis and Reconstruction of Biomedical Signals From Compressive Measurements. IEEE Access. 6. 545–553. 18 indexed citations
17.
Singhal, Vanika, Hemant Kumar Aggarwal, Snigdha Tariyal, & Angshul Majumdar. (2017). Discriminative Robust Deep Dictionary Learning for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 55(9). 5274–5283. 43 indexed citations
18.
Singhal, Vanika, et al.. (2015). Correlation based Feature Selection for Diagnosis of Acute Lymphoblastic Leukemia. 5–9. 9 indexed citations
19.
Singhal, Vanika, et al.. (2014). Local Binary Pattern for automatic detection of Acute Lymphoblastic Leukemia. 1–5. 45 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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