Arijit Sur

1.2k total citations
82 papers, 678 citations indexed

About

Arijit Sur is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Arijit Sur has authored 82 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Computer Vision and Pattern Recognition, 24 papers in Signal Processing and 12 papers in Artificial Intelligence. Recurrent topics in Arijit Sur's work include Advanced Steganography and Watermarking Techniques (41 papers), Digital Media Forensic Detection (26 papers) and Video Coding and Compression Technologies (23 papers). Arijit Sur is often cited by papers focused on Advanced Steganography and Watermarking Techniques (41 papers), Digital Media Forensic Detection (26 papers) and Video Coding and Compression Technologies (23 papers). Arijit Sur collaborates with scholars based in India, United Kingdom and United States. Arijit Sur's co-authors include Sibaji Gaj, Prabin Kumar Bora, Arnab Sarkar, Sukumar Nandi, Pinaki Mitra, Jayanta Mukhopadhyay, Douglas Sicker, Tanima Dutta, Abhishek Kumar and Dibyajyoti Chutia and has published in prestigious journals such as Neurocomputing, Computer Networks and Journal of Network and Computer Applications.

In The Last Decade

Arijit Sur

76 papers receiving 650 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arijit Sur India 16 534 163 100 74 72 82 678
Salim Chitroub Algeria 12 269 0.5× 285 1.7× 26 0.3× 69 0.9× 58 0.8× 81 464
Justin Varghese India 12 231 0.4× 66 0.4× 37 0.4× 46 0.6× 159 2.2× 37 322
Maryam Amirmazlaghani Iran 12 339 0.6× 47 0.3× 17 0.2× 64 0.9× 142 2.0× 46 497
Tanish Zaveri India 9 191 0.4× 30 0.2× 24 0.2× 63 0.9× 170 2.4× 52 395
Hongxing Wang China 13 502 0.9× 140 0.9× 20 0.2× 90 1.2× 33 0.5× 51 590
Attilio Fiandrotti Italy 10 211 0.4× 69 0.4× 86 0.9× 39 0.5× 108 1.5× 52 338
Truong Thao Nguyen Japan 11 345 0.6× 45 0.3× 44 0.4× 81 1.1× 201 2.8× 54 473
Guangyong Gao China 12 420 0.8× 45 0.3× 30 0.3× 83 1.1× 44 0.6× 44 520
Phil Sallee United States 8 247 0.5× 40 0.2× 22 0.2× 53 0.7× 52 0.7× 14 347

Countries citing papers authored by Arijit Sur

Since Specialization
Citations

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

Fields of papers citing papers by Arijit Sur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arijit Sur

This figure shows the co-authorship network connecting the top 25 collaborators of Arijit Sur. A scholar is included among the top collaborators of Arijit Sur 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 Arijit Sur. Arijit Sur 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.
Sur, Arijit, et al.. (2025). Harnessing multi-resolution and multi-scale attention for underwater image restoration. The Visual Computer. 41(11). 8235–8254. 2 indexed citations
2.
Kumar, Shashi, et al.. (2025). River-GEM: Generating and Enhancing Muddy Water Images. 1–5.
3.
Sur, Arijit, et al.. (2024). Reinforcement Learning-Based Adaptive Bitrate Caching at MEC Server. IEEE Transactions on Network and Service Management. 21(3). 3292–3304. 2 indexed citations
4.
Sur, Arijit, et al.. (2024). DatUS: Data-Driven Unsupervised Semantic Segmentation With Pretrained Self-Supervised Vision Transformer. IEEE Transactions on Cognitive and Developmental Systems. 16(5). 1775–1788. 3 indexed citations
5.
Sur, Arijit, et al.. (2024). Content-Aware Caching at the Mobile Edge Network Using Federated Learning. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(2). 1166–1176. 5 indexed citations
6.
Sur, Arijit, et al.. (2024). Collaborative Video Caching in the Edge Network using Deep Reinforcement Learning. 5(3). 1–26. 1 indexed citations
9.
Sur, Arijit, et al.. (2024). X-CAUNET: Cross-Color Channel Attention with Underwater Image-Enhancing Transformer. 3550–3554. 11 indexed citations
10.
Sur, Arijit, et al.. (2024). LoCATe-GAT: Modeling Multi-Scale Local Context and Action Relationships for Zero-Shot Action Recognition. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(4). 2793–2805. 2 indexed citations
11.
Sur, Arijit, et al.. (2023). HybridNet: Integrating Multiple Approaches for Aerial Semantic Segmentation. SN Computer Science. 5(1). 1 indexed citations
12.
Sur, Arijit, et al.. (2022). Wavelength-based Attributed Deep Neural Network for Underwater Image Restoration. ACM Transactions on Multimedia Computing Communications and Applications. 19(1). 1–23. 92 indexed citations
13.
Sur, Arijit, et al.. (2022). StegGAN: hiding image within image using conditional generative adversarial networks. Multimedia Tools and Applications. 81(28). 40511–40533. 7 indexed citations
14.
Devaraj, Rajesh, et al.. (2019). Client-Side QoE Management for SVC Video Streaming: An FSM Supported Design Approach. IEEE Transactions on Network and Service Management. 16(3). 1113–1126. 10 indexed citations
15.
Sur, Arijit, et al.. (2019). Multiple instance learning based deep CNN for image memorability prediction. Multimedia Tools and Applications. 78(24). 35511–35535. 5 indexed citations
16.
Sur, Arijit, et al.. (2018). A QoE aware LSTM based bit-rate prediction model for DASH video. 392–395. 8 indexed citations
17.
Sur, Arijit, et al.. (2016). Depth-Based View-Invariant Blind 3D Image Watermarking. ACM Transactions on Multimedia Computing Communications and Applications. 12(4). 1–23. 2 indexed citations
18.
Sur, Arijit, et al.. (2014). Blind 3D Video Watermarking Based on 3D-HEVC Encoder Using Depth. 1–8. 9 indexed citations
19.
Sur, Arijit, Vignesh Ramanathan, & Jayanta Mukherjee. (2012). Pixel rearrangement based statistical restoration scheme reducing embedding noise. Multimedia Tools and Applications. 68(3). 805–825. 3 indexed citations
20.
Kumar, Abhishek, et al.. (2011). Length based network steganography using UDP protocol. 726–730. 17 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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