Sunil Agrawal

2.1k total citations · 1 hit paper
96 papers, 1.4k citations indexed

About

Sunil Agrawal is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Sunil Agrawal has authored 96 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Electrical and Electronic Engineering, 27 papers in Computer Vision and Pattern Recognition and 27 papers in Media Technology. Recurrent topics in Sunil Agrawal's work include Advanced Image Fusion Techniques (23 papers), Image and Signal Denoising Methods (16 papers) and Advanced Photonic Communication Systems (11 papers). Sunil Agrawal is often cited by papers focused on Advanced Image Fusion Techniques (23 papers), Image and Signal Denoising Methods (16 papers) and Advanced Photonic Communication Systems (11 papers). Sunil Agrawal collaborates with scholars based in India, Pakistan and Ethiopia. Sunil Agrawal's co-authors include Ayush Dogra, Bhawna Goyal, B.S. Sohi, Apoorav Maulik Sharma, Renu Vig, Kuldeep Singh, Jaskirat Kaur, Chirag Ahuja, Poonam Kumari and Naresh Kumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Pattern Recognition Letters.

In The Last Decade

Sunil Agrawal

87 papers receiving 1.3k citations

Hit Papers

Image denoising review: From classical to state-of-the-ar... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sunil Agrawal India 18 593 508 374 329 169 96 1.4k
B.S. Sohi India 18 395 0.7× 242 0.5× 626 1.7× 489 1.5× 350 2.1× 105 1.7k
Yaqin Zhao China 20 270 0.5× 151 0.3× 288 0.8× 131 0.4× 181 1.1× 93 1.0k
Yi Zhong China 21 608 1.0× 101 0.2× 513 1.4× 198 0.6× 151 0.9× 98 1.7k
Mehran Yazdi Iran 20 877 1.5× 379 0.7× 137 0.4× 67 0.2× 240 1.4× 113 1.6k
Kai Xu China 18 528 0.9× 336 0.7× 117 0.3× 66 0.2× 211 1.2× 60 1.5k
Changcai Yang China 18 517 0.9× 286 0.6× 210 0.6× 137 0.4× 118 0.7× 73 1.1k
Kamesh Namuduri United States 20 623 1.1× 168 0.3× 339 0.9× 501 1.5× 161 1.0× 130 1.6k
Kaisheng Ma China 25 796 1.3× 112 0.2× 1.2k 3.3× 322 1.0× 639 3.8× 83 2.5k
Zhi Zhang China 14 468 0.8× 102 0.2× 228 0.6× 192 0.6× 602 3.6× 62 1.4k
Hao Gao China 18 613 1.0× 153 0.3× 135 0.4× 84 0.3× 503 3.0× 116 1.4k

Countries citing papers authored by Sunil Agrawal

Since Specialization
Citations

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

Fields of papers citing papers by Sunil Agrawal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunil Agrawal

This figure shows the co-authorship network connecting the top 25 collaborators of Sunil Agrawal. A scholar is included among the top collaborators of Sunil Agrawal 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 Sunil Agrawal. Sunil Agrawal 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.
Agrawal, Sunil, et al.. (2025). Infrared and Visible Image Fusion based on Sparse Representation and Weighted Least Square Optimization. IETE Journal of Research. 71(5). 1504–1516.
2.
Agrawal, Sunil, et al.. (2024). Pattern-based feature set for efficient segmentation of color images using modified FCM clustering. Signal Image and Video Processing. 18(11). 7671–7687.
3.
Singh, Bharat, et al.. (2024). Manifesto of Deep Learning Architecture for Aspect Level Sentiment Analysis to extract customer criticism. ICST Transactions on Scalable Information Systems. 2 indexed citations
5.
Kaur, Chamandeep, et al.. (2021). Recent Developments in Spatio-Temporal EEG Source Reconstruction Techniques. Wireless Personal Communications. 122(2). 1531–1558. 12 indexed citations
6.
Kumar, Naresh, et al.. (2020). Evolution of PAPR Reduction Techniques: A Wavelet Based OFDM Approach. Wireless Personal Communications. 115(2). 1565–1588. 16 indexed citations
7.
Agrawal, Sunil, et al.. (2020). An Efficient Microbes Detection System using Microscopic Images via Morphological and Correlation Based Features. Biomedical & Pharmacology Journal. 13(3). 1113–1124. 2 indexed citations
8.
Agrawal, Sunil, et al.. (2020). Handwritten Gurmukhi Digit Recognition System for Small Datasets. Traitement du signal. 37(4). 661–669. 4 indexed citations
9.
Goyal, Bhawna, et al.. (2019). Image Denoising: Issues and Challenges. SSRN Electronic Journal. 4 indexed citations
10.
Goyal, Bhawna, Ayush Dogra, Sunil Agrawal, B.S. Sohi, & Apoorav Maulik Sharma. (2019). Image denoising review: From classical to state-of-the-art approaches. Information Fusion. 55. 220–244. 289 indexed citations breakdown →
11.
Goyal, Bhawna, Ayush Dogra, Sunil Agrawal, & B.S. Sohi. (2018). Noise Issues Prevailing in Various Types of Medical Images. Biomedical & Pharmacology Journal. 11(3). 1227–1237. 73 indexed citations
12.
Goyal, Bhawna, Ayush Dogra, Sunil Agrawal, & B.S. Sohi. (2018). A Survey on the Image Denoising to Enhance Medical Images. Biosciences Biotechnology Research Asia. 15(3). 501–507. 4 indexed citations
13.
Goyal, Bhawna, Ayush Dogra, Sunil Agrawal, & B.S. Sohi. (2018). Two-dimensional gray scale image denoising via morphological operations in NSST domain & bitonic filtering. Future Generation Computer Systems. 82. 158–175. 29 indexed citations
14.
Dogra, Ayush, Bhawna Goyal, & Sunil Agrawal. (2017). From Multi-Scale Decomposition to Non-Multi-Scale Decomposition Methods: A Comprehensive Survey of Image Fusion Techniques and Its Applications. IEEE Access. 5. 16040–16067. 136 indexed citations
15.
Dogra, Ayush, Sunil Agrawal, & Bhawna Goyal. (2016). Efficient representation of texture details in medical images by fusion of Ripplet and DDCT transformed images. Tropical Journal of Pharmaceutical Research. 15(9). 1983–1983. 15 indexed citations
16.
Goyal, Bhawna, Sunil Agrawal, B.S. Sohi, & Ayush Dogra. (2016). Noise Reduction in MR brain image via various transform domain schemes. Research Journal of Pharmacy and Technology. 9(7). 919–919. 14 indexed citations
17.
Agrawal, Sunil, et al.. (2015). An iris recognition based robust intrusion detection system. 137. 1–6. 2 indexed citations
18.
Agrawal, Sunil, et al.. (2014). Indoor Localization based on Bluetooth Technology: A Brief Review. International Journal of Computer Applications. 97(8). 31–33. 7 indexed citations
19.
Agrawal, Sunil & B.S. Sohi. (2012). Feature Optimization and Performance Evaluation of Machine Learning Algorithms for Identification of P2P Traffic. Journal of Advances in Information Technology. 3(2). 6 indexed citations
20.
Agrawal, Sunil & B.S. Sohi. (2011). Generalization and optimization of feature set for accurate identification of P2P Traffic in the internet using neural network. WSEAS TRANSACTIONS on COMMUNICATIONS archive. 10(2). 55–65. 4 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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