Bibhas Chandra Dhara

1.1k total citations
60 papers, 717 citations indexed

About

Bibhas Chandra Dhara is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Information Systems. According to data from OpenAlex, Bibhas Chandra Dhara has authored 60 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computer Vision and Pattern Recognition, 26 papers in Signal Processing and 11 papers in Information Systems. Recurrent topics in Bibhas Chandra Dhara's work include Advanced Steganography and Watermarking Techniques (21 papers), Chaos-based Image/Signal Encryption (20 papers) and Biometric Identification and Security (15 papers). Bibhas Chandra Dhara is often cited by papers focused on Advanced Steganography and Watermarking Techniques (21 papers), Chaos-based Image/Signal Encryption (20 papers) and Biometric Identification and Security (15 papers). Bibhas Chandra Dhara collaborates with scholars based in India, Saudi Arabia and Ukraine. Bibhas Chandra Dhara's co-authors include Bhabatosh Chanda, Saiyed Umer, Ranjeet Kumar Rout, Hari Mohan Pandey, Sanjoy Kumar Saha, Rajat K. De, Rudrasis Chakraborty, Anupam Ghosh, R. Meenakshi Sundaram and Ahmad Ali AlZubi and has published in prestigious journals such as IEEE Access, Sensors and Pattern Recognition.

In The Last Decade

Bibhas Chandra Dhara

56 papers receiving 671 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bibhas Chandra Dhara India 16 486 315 144 136 33 60 717
Chenhao Lin China 11 290 0.6× 280 0.9× 216 1.5× 123 0.9× 9 0.3× 48 650
Tieniu Tan China 12 885 1.8× 279 0.9× 217 1.5× 126 0.9× 9 0.3× 31 1.1k
Shang‐Hung Lin United States 7 442 0.9× 191 0.6× 133 0.9× 44 0.3× 19 0.6× 10 644
Mohammad‐Shahram Moin Iran 14 417 0.9× 184 0.6× 111 0.8× 57 0.4× 10 0.3× 72 657
Pengwei Hao United Kingdom 16 651 1.3× 327 1.0× 124 0.9× 64 0.5× 12 0.4× 66 887
Akshay Agarwal India 16 649 1.3× 472 1.5× 426 3.0× 143 1.1× 72 2.2× 62 1.0k
Tieniu Tan China 14 901 1.9× 407 1.3× 185 1.3× 101 0.7× 15 0.5× 31 1.2k
Mahmoud I. Khalil Egypt 15 422 0.9× 114 0.4× 184 1.3× 51 0.4× 29 0.9× 64 670
Farbod Razzazi Iran 15 365 0.8× 174 0.6× 236 1.6× 45 0.3× 11 0.3× 111 693
Guanglou Zheng Australia 16 362 0.7× 481 1.5× 89 0.6× 408 3.0× 13 0.4× 28 874

Countries citing papers authored by Bibhas Chandra Dhara

Since Specialization
Citations

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

Fields of papers citing papers by Bibhas Chandra Dhara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bibhas Chandra Dhara. 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 Bibhas Chandra Dhara. The network helps show where Bibhas Chandra Dhara may publish in the future.

Co-authorship network of co-authors of Bibhas Chandra Dhara

This figure shows the co-authorship network connecting the top 25 collaborators of Bibhas Chandra Dhara. A scholar is included among the top collaborators of Bibhas Chandra Dhara 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 Bibhas Chandra Dhara. Bibhas Chandra Dhara 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.
Dhara, Bibhas Chandra, et al.. (2025). Image Encryption Utilizing 5D Hyperchaos, Wavelet Lifting Scheme, and Burrows–Wheeler Transform. Arabian Journal for Science and Engineering. 50(23). 19403–19419. 1 indexed citations
2.
Dhara, Bibhas Chandra, et al.. (2024). An Audio Encryption Scheme Based on Empirical Mode Decomposition and 2D Cosine Logistic Map. IEEE Latin America Transactions. 22(4). 267–275. 6 indexed citations
3.
Dhara, Bibhas Chandra, et al.. (2023). 3D LiDAR-based obstacle detection and tracking for autonomous navigation in dynamic environments. International Journal of Intelligent Robotics and Applications. 8(1). 39–60. 11 indexed citations
4.
Maiti, C. K., Bibhas Chandra Dhara, Saiyed Umer, & Vijayan K. Asari. (2023). An Efficient and Secure Method of Plaintext-Based Image Encryption Using Fibonacci and Tribonacci Transformations. IEEE Access. 11. 48421–48440. 8 indexed citations
5.
Umer, Saiyed, et al.. (2022). Smart sentiment analysis system for pain detection using cutting edge techniques in a smart healthcare framework. Cluster Computing. 26(1). 119–135. 19 indexed citations
6.
Dhara, Bibhas Chandra, et al.. (2022). Efficient Obstacle Detection and Tracking Using RGB-D Sensor Data in Dynamic Environments for Robotic Applications. Sensors. 22(17). 6537–6537. 13 indexed citations
7.
Dhara, Bibhas Chandra, et al.. (2022). CORB2I-SLAM: An Adaptive Collaborative Visual-Inertial SLAM for Multiple Robots. Electronics. 11(18). 2814–2814. 9 indexed citations
8.
Umer, Saiyed, et al.. (2019). Person identification using fusion of iris and periocular deep features. Neural Networks. 122. 407–419. 55 indexed citations
9.
Umer, Saiyed, Bibhas Chandra Dhara, & Bhabatosh Chanda. (2018). NIR and VW iris image recognition using ensemble of patch statistics features. The Visual Computer. 35(9). 1327–1344. 10 indexed citations
10.
Dhara, Bibhas Chandra, et al.. (2017). A new image encryption method using circle. 25. 1–6. 8 indexed citations
11.
Umer, Saiyed, Bibhas Chandra Dhara, & Bhabatosh Chanda. (2015). Texture code matrix-based multi-instance iris recognition. Pattern Analysis and Applications. 19(1). 283–295. 42 indexed citations
12.
Umer, Saiyed, Bibhas Chandra Dhara, & Bhabatosh Chanda. (2015). Biometric recognition system for challenging faces. 1–4. 7 indexed citations
13.
Umer, Saiyed & Bibhas Chandra Dhara. (2015). A fast iris localization using inversion transform and restricted circular Hough transform. 1–6. 17 indexed citations
14.
Dhara, Bibhas Chandra, et al.. (2015). An Image Secret Sharing Technique with Block Based Image Coding. 28. 648–652. 3 indexed citations
15.
Umer, Saiyed, Bibhas Chandra Dhara, & Bhabatosh Chanda. (2014). A Fast and Robust Method for Iris Localization. 262–267. 5 indexed citations
16.
Chakraborty, Rudrasis, et al.. (2013). A hierarchical approach for speech-instrumental-song classification. SpringerPlus. 2(1). 526–526. 3 indexed citations
17.
Ghosh, Anupam, Bibhas Chandra Dhara, & Rajat K. De. (2013). Comparative Analysis of Cluster Validity Indices in Identifying Some Possible Genes Mediating Certain Cancers. Molecular Informatics. 32(4). 347–354. 4 indexed citations
18.
Dhara, Bibhas Chandra, et al.. (2011). Speech/Music Classification Using Empirical Mode Decomposition. 49–52. 7 indexed citations
19.
Dhara, Bibhas Chandra, et al.. (2011). Neural network based Iris recognition system using Haralick features. 19–23. 22 indexed citations
20.
Dhara, Bibhas Chandra & Bhabatosh Chanda. (2004). Block truncation coding using pattern fitting. Pattern Recognition. 37(11). 2131–2139. 24 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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