Vanika Singhal

50 total papers · 484 total citations
19 papers, 304 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 304 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 Music and Audio Processing (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 Music and Audio Processing (3 papers). Vanika Singhal collaborates with scholars based in India, United States and Canada. Vanika Singhal's co-authors include Angshul Majumdar, Snigdha Tariyal, Hemant Kumar Aggarwal, Rabab Ward, Amita Chudgar, Deepa Anand and Sandeep Dutta and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and Pattern Recognition.

In The Last Decade

Vanika Singhal

18 papers receiving 291 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Vanika Singhal 146 108 102 55 49 19 304
Murat H. Sazlı 129 0.9× 115 1.1× 79 0.8× 11 0.2× 30 0.6× 23 297
Zhou Liu 223 1.5× 55 0.5× 16 0.2× 28 0.5× 68 1.4× 34 345
Dat Thanh Tran 70 0.5× 122 1.1× 74 0.7× 15 0.3× 14 0.3× 16 342
Ahmad Ali 192 1.3× 73 0.7× 38 0.4× 11 0.2× 45 0.9× 31 316
Jiaying Lin 244 1.7× 55 0.5× 54 0.5× 19 0.3× 11 0.2× 27 359
Huidong Liu 175 1.2× 163 1.5× 22 0.2× 26 0.5× 24 0.5× 21 309
Feiyang Wu 146 1.0× 57 0.5× 75 0.7× 38 0.7× 115 2.3× 17 330
Yujing Sun 136 0.9× 82 0.8× 75 0.7× 77 1.4× 20 0.4× 26 314
Chinthaka Dinesh 114 0.8× 50 0.5× 67 0.7× 90 1.6× 12 0.2× 19 257
Yongfei Wu 258 1.8× 55 0.5× 13 0.1× 30 0.5× 38 0.8× 30 359

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

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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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