Sunil Jaiswal

512 total citations
35 papers, 293 citations indexed

About

Sunil Jaiswal is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Sunil Jaiswal has authored 35 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Vision and Pattern Recognition, 8 papers in Media Technology and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Sunil Jaiswal's work include Image and Signal Denoising Methods (16 papers), Advanced Image Processing Techniques (12 papers) and Advanced Vision and Imaging (10 papers). Sunil Jaiswal is often cited by papers focused on Image and Signal Denoising Methods (16 papers), Advanced Image Processing Techniques (12 papers) and Advanced Vision and Imaging (10 papers). Sunil Jaiswal collaborates with scholars based in India, Hong Kong and Singapore. Sunil Jaiswal's co-authors include Vinit Jakhetiya, Oscar C. Au, Weisi Lin, Anil Kumar Tiwari, Ke Gu, Sharath Chandra Guntuku, Qiaohong Li, Klaus Mueller, Haiyan Yang and Yuan Yuan and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Image Processing and IEEE Transactions on Industrial Informatics.

In The Last Decade

Sunil Jaiswal

32 papers receiving 284 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sunil Jaiswal India 10 251 104 23 13 13 35 293
Nikolay Kobyshev Switzerland 4 357 1.4× 125 1.2× 23 1.0× 8 0.6× 10 0.8× 7 384
Majed El Helou Switzerland 6 143 0.6× 93 0.9× 10 0.4× 7 0.5× 11 0.8× 18 170
Hai Jiang China 8 369 1.5× 136 1.3× 30 1.3× 19 1.5× 26 2.0× 12 403
Huixuan Tang Canada 7 334 1.3× 235 2.3× 13 0.6× 22 1.7× 15 1.2× 10 362
Jinglei Shi China 7 201 0.8× 60 0.6× 11 0.5× 9 0.7× 14 1.1× 15 235
Hylke Buisman Netherlands 3 195 0.8× 86 0.8× 24 1.0× 4 0.3× 18 1.4× 6 252
Ali Mosleh Canada 10 218 0.9× 99 1.0× 13 0.6× 15 1.2× 38 2.9× 15 283
Jiahao Wang China 4 159 0.6× 81 0.8× 16 0.7× 3 0.2× 15 1.2× 11 227
Kavinder Singh India 11 263 1.0× 129 1.2× 19 0.8× 23 1.8× 9 0.7× 24 313
Miguel Granados Germany 5 225 0.9× 57 0.5× 14 0.6× 15 1.2× 10 0.8× 11 249

Countries citing papers authored by Sunil Jaiswal

Since Specialization
Citations

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

Fields of papers citing papers by Sunil Jaiswal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunil Jaiswal

This figure shows the co-authorship network connecting the top 25 collaborators of Sunil Jaiswal. A scholar is included among the top collaborators of Sunil Jaiswal 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 Jaiswal. Sunil Jaiswal 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.
Gupta, Garima, Subhash Anand, Rajender Singh, et al.. (2025). Indigenous Knowledge and Water Conservation Practices in South Africa: A Systematic Literature Review. 7(2). 2 indexed citations
2.
Jakhetiya, Vinit, et al.. (2023). Drone-vs-Bird: Drone Detection Using YOLOv7 with CSRT Tracker. 1–2. 9 indexed citations
3.
Jakhetiya, Vinit, et al.. (2022). Context Region Identification Based Quality Assessment of 3D Synthesized Views. IEEE Transactions on Multimedia. 25. 6183–6193. 2 indexed citations
4.
Gu, Ke, et al.. (2020). Kernel-Ridge Regression-Based Quality Measure and Enhancement of Three-Dimensional-Synthesized Images. IEEE Transactions on Industrial Electronics. 68(1). 423–433. 14 indexed citations
5.
Jakhetiya, Vinit, et al.. (2020). Distortion Specific Contrast Based No-Reference Quality Assessment of DIBR-Synthesized Views. 6. 1–5. 9 indexed citations
6.
Tamayo, John Fernando Restrepo, et al.. (2020). Lightfield imaging for industrial applications. 69–69. 6 indexed citations
7.
Lin, Weisi, et al.. (2017). Just Noticeable Difference for natural images using RMS contrast and feed-back mechanism. Neurocomputing. 275. 366–376. 21 indexed citations
8.
Gu, Ke, et al.. (2017). A Prediction Backed Model for Quality Assessment of Screen Content and 3-D Synthesized Images. IEEE Transactions on Industrial Informatics. 14(2). 652–660. 34 indexed citations
9.
Jaiswal, Sunil, et al.. (2017). Deep-mapnets : A residual network for 3D environment representation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 37. 2652–2656. 4 indexed citations
10.
Jaiswal, Sunil, Lu Fang, Vinit Jakhetiya, et al.. (2016). Adaptive Multispectral Demosaicking Based on Frequency-Domain Analysis of Spectral Correlation. IEEE Transactions on Image Processing. 26(2). 953–968. 31 indexed citations
11.
Jaiswal, Sunil, et al.. (2016). Optimized high-frequency based interpolation for multispectral demosaicking. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 8299. 2851–2855. 2 indexed citations
12.
Jaiswal, Sunil, et al.. (2015). Graph modelling of 3D geometric information for color consistency of multiview images. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 45. 1394–1398. 4 indexed citations
13.
Jakhetiya, Vinit, et al.. (2014). Symmetrical predictor structure based integrated lossy, near lossless/lossless coding of images. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2293–2296. 3 indexed citations
14.
Jakhetiya, Vinit, et al.. (2014). Fast and efficient intra-frame deinterlacing using observation model based bilateral filter. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 50. 5819–5823. 13 indexed citations
15.
Jaiswal, Sunil, Oscar C. Au, Vinit Jakhetiya, Yuan Yuan, & Haiyan Yang. (2014). Exploitation of inter-color correlation for color image demosaicking. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1812–1816. 26 indexed citations
16.
Jakhetiya, Vinit, et al.. (2014). Lossless/near lossless compression using bilateral filter and symmetrical structure based bias cancellation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 77–80. 1 indexed citations
17.
Jaiswal, Sunil & Sunita Dhavale. (2013). Video Forensics in Temporal Domain using Machine Learning Techniques. International Journal of Computer Network and Information Security. 5(9). 58–67. 7 indexed citations
18.
Jaiswal, Sunil, Gaurav Mittal, Vinit Jakhetiya, & Anil Kumar Tiwari. (2012). An efficient two pass lossless invisible watermarking algorithm for natural images. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 164–167.
19.
Mittal, Gaurav, Vinit Jakhetiya, Sunil Jaiswal, et al.. (2012). Bit-depth expansion using Minimum Risk Based Classification. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–5. 20 indexed citations
20.
Jaiswal, Sunil, Vinit Jakhetiya, & Anil Kumar Tiwari. (2011). An efficient image interpolation algorithm based upon the switching and self learned characteristics for natural images. 8 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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