Pranab Kumar Dhar

1.2k total citations
68 papers, 770 citations indexed

About

Pranab Kumar Dhar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Pranab Kumar Dhar has authored 68 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 10 papers in Signal Processing. Recurrent topics in Pranab Kumar Dhar's work include Advanced Steganography and Watermarking Techniques (26 papers), Digital Media Forensic Detection (22 papers) and Chaos-based Image/Signal Encryption (17 papers). Pranab Kumar Dhar is often cited by papers focused on Advanced Steganography and Watermarking Techniques (26 papers), Digital Media Forensic Detection (22 papers) and Chaos-based Image/Signal Encryption (17 papers). Pranab Kumar Dhar collaborates with scholars based in Japan, Bangladesh and India. Pranab Kumar Dhar's co-authors include Tetsuya Shimamura, Takeshi Koshiba, Kaushik Deb, Mohammad Shamsul Arefin, Md. Kowsher, Anirban Guha, Barin Kumar De, Jong-Myon Kim, Mukunda M. Gogoi and S. Suresh Babu and has published in prestigious journals such as The Science of The Total Environment, The Journal of the Acoustical Society of America and Atmospheric Environment.

In The Last Decade

Pranab Kumar Dhar

61 papers receiving 728 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pranab Kumar Dhar Japan 16 352 160 122 113 78 68 770
Yuting Zhang China 18 649 1.8× 273 1.7× 121 1.0× 87 0.8× 22 0.3× 72 1.2k
Bowen Shi China 16 125 0.4× 122 0.8× 169 1.4× 45 0.4× 27 0.3× 51 792
Shu Yang China 11 258 0.7× 215 1.3× 56 0.5× 55 0.5× 8 0.1× 38 569
Yimin Zhou China 13 316 0.9× 73 0.5× 29 0.2× 30 0.3× 26 0.3× 52 684
Tilman Lange Switzerland 10 244 0.7× 383 2.4× 26 0.2× 63 0.6× 60 0.8× 10 790
J Aravinth India 12 104 0.3× 117 0.7× 49 0.4× 18 0.2× 34 0.4× 55 540
Guilu Wu China 8 104 0.3× 120 0.8× 27 0.2× 32 0.3× 13 0.2× 34 500
Bharti W. Gawali India 10 75 0.2× 239 1.5× 43 0.4× 99 0.9× 26 0.3× 41 563
Pius Adewale Owolawi South Africa 16 95 0.3× 88 0.6× 146 1.2× 30 0.3× 40 0.5× 188 980
Dominic Palmer-Brown United Kingdom 13 36 0.1× 155 1.0× 133 1.1× 47 0.4× 17 0.2× 55 550

Countries citing papers authored by Pranab Kumar Dhar

Since Specialization
Citations

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

Fields of papers citing papers by Pranab Kumar Dhar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pranab Kumar Dhar. 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 Pranab Kumar Dhar. The network helps show where Pranab Kumar Dhar may publish in the future.

Co-authorship network of co-authors of Pranab Kumar Dhar

This figure shows the co-authorship network connecting the top 25 collaborators of Pranab Kumar Dhar. A scholar is included among the top collaborators of Pranab Kumar Dhar 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 Pranab Kumar Dhar. Pranab Kumar Dhar 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.
Deb, Kaushik, et al.. (2025). DeepGuard: Enhancing Violence Detection in Smart Cities Through Deep Learning. IEEE Access. 13. 58759–58777.
2.
Deb, Kaushik, et al.. (2025). CAMFusion: Context-Aware Multi-Modal Fusion Framework for Detecting Sarcasm and Humor Integrating Video and Textual Cues. IEEE Access. 13. 42530–42546. 1 indexed citations
3.
Deb, Kaushik, et al.. (2024). ADBNet: An Attention-Guided Deep Broad Convolutional Neural Network for the Classification of Breast Cancer Histopathology Images. IEEE Access. 12. 133784–133809. 8 indexed citations
4.
Kaur, Parminder, et al.. (2023). Temporal variability, meteorological influences, and long-range transport of atmospheric aerosols over two contrasting environments Agartala and Patiala in India. Environmental Science and Pollution Research. 30(46). 102687–102707. 3 indexed citations
5.
Arefin, Mohammad Shamsul, et al.. (2022). A Comprehensive Review on Big Data for Industries: Challenges and Opportunities. IEEE Access. 11. 744–769. 19 indexed citations
6.
Arefin, Mohammad Shamsul, et al.. (2022). CARAN: A Context-Aware Recency-Based Attention Network for Point-of-Interest Recommendation. IEEE Access. 10. 36299–36310. 15 indexed citations
7.
Kowsher, Md., et al.. (2022). Bangla-BERT: Transformer-Based Efficient Model for Transfer Learning and Language Understanding. IEEE Access. 10. 91855–91870. 45 indexed citations
8.
Kowsher, Md., et al.. (2022). An Enhanced Neural Word Embedding Model for Transfer Learning. Applied Sciences. 12(6). 2848–2848. 18 indexed citations
9.
10.
Deb, Kaushik, et al.. (2021). A Deep Learning Approach to Predict Autism Spectrum Disorder Using Multisite Resting-State fMRI. Applied Sciences. 11(8). 3636–3636. 84 indexed citations
11.
Deb, Kaushik, et al.. (2021). Traditional Bangladeshi Sports Video Classification Using Deep Learning Method. Applied Sciences. 11(5). 2149–2149. 22 indexed citations
12.
Hossain, Syed Md. Minhaz, Kaushik Deb, Pranab Kumar Dhar, & Takeshi Koshiba. (2021). Plant Leaf Disease Recognition Using Depth-Wise Separable Convolution-Based Models. Symmetry. 13(3). 511–511. 30 indexed citations
13.
Sultana, Arifa, Kaushik Deb, Pranab Kumar Dhar, & Takeshi Koshiba. (2021). Classification of Indoor Human Fall Events Using Deep Learning. Entropy. 23(3). 328–328. 20 indexed citations
14.
Deb, Kaushik, et al.. (2021). Image Defogging Framework Using Segmentation and the Dark Channel Prior. Entropy. 23(3). 285–285. 12 indexed citations
15.
Arefin, Mohammad Shamsul, et al.. (2021). Frequent contiguous pattern mining over biological sequences of protein misfolded diseases. BMC Bioinformatics. 22(1). 435–435. 3 indexed citations
16.
Dhar, Pranab Kumar, et al.. (2020). Blind Audio Watermarking Based on Parametric Slant-Hadamard Transform and Hessenberg Decomposition. Symmetry. 12(3). 333–333. 5 indexed citations
17.
Dhar, Pranab Kumar, et al.. (2020). Blind Image Watermarking in Canonical and Cepstrum Domains Based on 4-Connected t-o’clock Scrambling. Symmetry. 12(2). 266–266. 2 indexed citations
18.
Kaur, Parminder, et al.. (2020). Study of spectral characteristics of black carbon from biomass burning and source apportionment over Agartala in the northeastern India. Environmental Science and Pollution Research. 27(14). 16584–16598. 15 indexed citations
19.
Singh, A. K., et al.. (2017). Potential Role of Technology in Increasing Productivity and Income at National Level: A Case of Cell-culture Vaccine against Classical Swine Fever. Agricultural Economics Research Review. 30(conf). 161–161. 2 indexed citations
20.
Dhar, Pranab Kumar, et al.. (2016). Atmospheric aerosol radiative forcing over a semi-continental location Tripura in North-East India: Model results and ground observations. The Science of The Total Environment. 580. 499–508. 14 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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