Vinit Jakhetiya

946 total citations
53 papers, 492 citations indexed

About

Vinit Jakhetiya is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Vinit Jakhetiya has authored 53 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Vision and Pattern Recognition, 13 papers in Media Technology and 9 papers in Artificial Intelligence. Recurrent topics in Vinit Jakhetiya's work include Image and Signal Denoising Methods (14 papers), Advanced Image Processing Techniques (14 papers) and Image Enhancement Techniques (14 papers). Vinit Jakhetiya is often cited by papers focused on Image and Signal Denoising Methods (14 papers), Advanced Image Processing Techniques (14 papers) and Image Enhancement Techniques (14 papers). Vinit Jakhetiya collaborates with scholars based in India, Hong Kong and United States. Vinit Jakhetiya's co-authors include Badri Narayan Subudhi, Sharath Chandra Guntuku, Sunil Jaiswal, Oscar C. Au, T. Veerakumar, Weisi Lin, Anil Kumar Tiwari, Shubham Chaudhary, Sujoy Roy and Sai Manoj Prakhya and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and IEEE Transactions on Industrial Informatics.

In The Last Decade

Vinit Jakhetiya

44 papers receiving 482 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vinit Jakhetiya India 15 327 119 63 62 26 53 492
Xinyi Wu China 11 363 1.1× 57 0.5× 34 0.5× 94 1.5× 22 0.8× 27 477
Ben Daubney United Kingdom 7 434 1.3× 64 0.5× 59 0.9× 76 1.2× 39 1.5× 12 535
Shuzhou Sun China 7 240 0.7× 69 0.6× 44 0.7× 82 1.3× 9 0.3× 9 359
C. Mario Christoudias United States 12 390 1.2× 101 0.8× 41 0.7× 151 2.4× 18 0.7× 16 564
T.E. Boult United States 10 518 1.6× 81 0.7× 82 1.3× 98 1.6× 43 1.7× 19 598
T. Sree Sharmila India 13 395 1.2× 129 1.1× 10 0.2× 51 0.8× 35 1.3× 67 565
Nevrez İmamoğlu Japan 12 387 1.2× 137 1.2× 97 1.5× 27 0.4× 7 0.3× 51 549
Martin Čadík Czechia 16 780 2.4× 221 1.9× 135 2.1× 62 1.0× 20 0.8× 36 978
Chuancai Liu China 15 356 1.1× 127 1.1× 36 0.6× 62 1.0× 31 1.2× 61 492
Marco Buzzelli Italy 10 303 0.9× 99 0.8× 19 0.3× 93 1.5× 26 1.0× 49 525

Countries citing papers authored by Vinit Jakhetiya

Since Specialization
Citations

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

Fields of papers citing papers by Vinit Jakhetiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vinit Jakhetiya

This figure shows the co-authorship network connecting the top 25 collaborators of Vinit Jakhetiya. A scholar is included among the top collaborators of Vinit Jakhetiya 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 Vinit Jakhetiya. Vinit Jakhetiya 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.
Subudhi, Badri Narayan, et al.. (2025). Underwater surveillance using spatially curated perceptual loss and graph refactored network. Pattern Recognition. 162. 111388–111388. 2 indexed citations
2.
Subudhi, Badri Narayan, et al.. (2024). Underwater visual surveillance: A comprehensive survey. Ocean Engineering. 309. 118367–118367. 14 indexed citations
3.
Jakhetiya, Vinit, et al.. (2024). Non-Subsampled Contourlet Transform and Ground-Truth Score Generation Based Quality Assessment for DIBR-Synthesized Views. IEEE Transactions on Multimedia. 26. 7873–7886. 1 indexed citations
4.
Subudhi, Badri Narayan, et al.. (2024). A Multi-Scale Contrast Preserving Encoder-Decoder Architecture for Local Change Detection From Thermal Video Scenes. IEEE Transactions on Information Forensics and Security. 19. 7968–7981.
5.
Veerakumar, T., et al.. (2023). Bayesian’s probabilistic strategy for feature fusion from visible and infrared images. The Visual Computer. 40(6). 4221–4233. 12 indexed citations
6.
Subudhi, Badri Narayan, et al.. (2023). Two-Streams: Dark and Light Networks with Graph Convolution for Action Recognition from Dark Videos (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence. 37(13). 16340–16341.
7.
Subudhi, Badri Narayan, et al.. (2023). Modified ResNet-152 Network With Hybrid Pyramidal Pooling for Local Change Detection. IEEE Transactions on Artificial Intelligence. 5(4). 1599–1612. 19 indexed citations
8.
Jakhetiya, Vinit, et al.. (2022). Stretching Artifacts Identification for Quality Assessment of 3D-Synthesized Views. IEEE Transactions on Image Processing. 31. 1737–1750. 13 indexed citations
9.
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
10.
Subudhi, Badri Narayan, et al.. (2022). C3D and Localization Model for Locating and Recognizing the Actions from Untrimmed Videos (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence. 36(11). 13051–13052.
11.
Jakhetiya, Vinit, et al.. (2022). Perceptually Unimportant Information Reduction and Cosine Similarity-Based Quality Assessment of 3D-Synthesized Images.. PubMed. 31. 2027–2039. 2 indexed citations
12.
Jakhetiya, Vinit, et al.. (2021). Nonintrusive Perceptual Audio Quality Assessment for User-Generated Content Using Deep Learning. IEEE Transactions on Industrial Informatics. 18(11). 7780–7789. 7 indexed citations
13.
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
14.
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
15.
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
16.
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
17.
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
18.
Dai, Wei, Oscar C. Au, Xing Wen, et al.. (2013). Reconfigurable hardware-friendly CU-group based merge/skip mode for high efficient video coding. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 46–51. 1 indexed citations
19.
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.
20.
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

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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