Rekha Vig

906 total citations
52 papers, 565 citations indexed

About

Rekha Vig is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Rekha Vig has authored 52 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 18 papers in Signal Processing and 13 papers in Artificial Intelligence. Recurrent topics in Rekha Vig's work include Biometric Identification and Security (11 papers), AI in cancer detection (11 papers) and Chaos-based Image/Signal Encryption (11 papers). Rekha Vig is often cited by papers focused on Biometric Identification and Security (11 papers), AI in cancer detection (11 papers) and Chaos-based Image/Signal Encryption (11 papers). Rekha Vig collaborates with scholars based in India, United States and China. Rekha Vig's co-authors include Phool Singh, Tanuja Sarode, M. Hanmandlu, H. B. Kekre, Shaveta Arora, Ravi Kumar, Kavita Khanna, Luis Diego Vega, Gaurav Aggarwal and Swati Chauhan and has published in prestigious journals such as Computers in Biology and Medicine, Optics and Lasers in Engineering and Multimedia Tools and Applications.

In The Last Decade

Rekha Vig

50 papers receiving 520 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rekha Vig India 16 336 204 111 103 60 52 565
Matthew Simpson United States 12 177 0.5× 263 1.3× 45 0.4× 28 0.3× 30 0.5× 28 471
Min-Jen Tsai Taiwan 16 654 1.9× 112 0.5× 59 0.5× 104 1.0× 86 1.4× 76 827
Huihui Wu Canada 11 153 0.5× 133 0.7× 36 0.3× 23 0.2× 21 0.3× 49 382
Nazir A. Loan India 13 884 2.6× 130 0.6× 24 0.2× 105 1.0× 110 1.8× 17 1.0k
José Luis Sánchez de la Rosa Spain 11 227 0.7× 90 0.4× 323 2.9× 8 0.1× 15 0.3× 53 643
G. Kokkinakis Greece 20 534 1.6× 689 3.4× 64 0.6× 349 3.4× 109 1.8× 65 1.3k
Salwa Elramly Egypt 11 69 0.2× 86 0.4× 49 0.4× 45 0.4× 10 0.2× 110 480
Yongsheng Dong China 14 455 1.4× 135 0.7× 30 0.3× 38 0.4× 13 0.2× 20 615
Safwat Hamad Egypt 13 108 0.3× 266 1.3× 82 0.7× 15 0.1× 44 0.7× 50 468

Countries citing papers authored by Rekha Vig

Since Specialization
Citations

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

Fields of papers citing papers by Rekha Vig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rekha Vig

This figure shows the co-authorship network connecting the top 25 collaborators of Rekha Vig. A scholar is included among the top collaborators of Rekha Vig 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 Rekha Vig. Rekha Vig 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.
Hanmandlu, M., et al.. (2024). Mammogram Classification with HanmanNets Using Hanman Transform Classifier. Journal of Modern Physics. 15(7). 1045–1067. 1 indexed citations
2.
Vig, Rekha, et al.. (2023). Performance evaluation of Dictionary Learning and ICA on Parkinson’s patients classification using Machine Learning. Multimedia Tools and Applications. 83(8). 24467–24483. 1 indexed citations
3.
4.
Vig, Rekha, et al.. (2022). MTU: A multi-tasking U-net with hybrid convolutional learning and attention modules for cancer classification and gland Segmentation in Colon Histopathological Images. Computers in Biology and Medicine. 150(17). 106095–106095. 13 indexed citations
5.
Khanna, Kavita, et al.. (2021). Changes That Should Remain in Higher Education Post COVID-19: A Mixed-Methods Analysis of the Experiences at Three Universities. Higher Learning Research Communications. 11(0). 51 indexed citations
6.
7.
Singh, Phool, et al.. (2020). An asymmetric image encryption mechanism using QR decomposition in hybrid multi-resolution wavelet domain. Optics and Lasers in Engineering. 134. 106177–106177. 33 indexed citations
8.
9.
Hanmandlu, M., et al.. (2020). Classification of digital mammograms using information set features and Hanman Transform based classifiers. Informatics in Medicine Unlocked. 20. 100401–100401. 13 indexed citations
10.
Vig, Rekha, et al.. (2020). Double image encryption using 3D Lorenz chaotic system, 2D non-separable linear canonical transform and QR decomposition. Optical and Quantum Electronics. 52(2). 43 indexed citations
11.
Arora, Shaveta, et al.. (2019). Segmentation Techniques for Breast Cancer Imaging Modalities-A Review. 658–663. 19 indexed citations
12.
13.
Aggarwal, Gaurav & Rekha Vig. (2019). Acoustic Methodologies for Classifying Gender and Emotions using Machine Learning Algorithms. 672–677. 7 indexed citations
14.
Vig, Rekha, et al.. (2018). Review of Histopathological Image Segmentation via current Deep Learning Approaches. 1–6. 7 indexed citations
15.
Vig, Rekha, et al.. (2018). Face Recognition Using Multiresolution Hybrid Kekre-DCT Wavelet Transform Features with Multiclass ECOC Framework. Procedia Computer Science. 132. 1781–1787. 3 indexed citations
16.
17.
Kekre, H. B., Tanuja Sarode, & Rekha Vig. (2015). A new multi-resolution hybrid wavelet for analysis and image compression. International Journal of Electronics. 102(12). 2108–2126. 18 indexed citations
18.
19.
Saquib, Zia, et al.. (2010). Sweat pores-based (level 3) novel fingerprint quality estimation. 34. 525–531. 3 indexed citations
20.
Saquib, Zia, et al.. (2010). Hierarchical fingerprint quality estimation scheme. V1–493. 2 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Matthew Simpson Breakdown of academic impact, for papers by Min-Jen Tsai Breakdown of academic impact, for papers by Huihui Wu Breakdown of academic impact, for papers by Nazir A. Loan Breakdown of academic impact, for papers by José Luis Sánchez de la Rosa Breakdown of academic impact, for papers by G. Kokkinakis Breakdown of academic impact, for papers by Salwa Elramly Breakdown of academic impact, for papers by Yongsheng Dong Breakdown of academic impact, for papers by Safwat Hamad
Rankless by CCL
2026