Bibhas Chandra Dhara
- Computer Vision and Pattern Recognition top 2%
- Signal Processing top 2%
- Artificial Intelligence top 10%
- Information Systems top 5%
- Molecular Biology
- Co-authors
- Bhabatosh ChandaSaiyed UmerRanjeet Kumar RoutHari Mohan PandeyAnupam GhoshRajat K. DeSanjoy Kumar SahaRudrasis Chakraborty
- Topics
- Advanced Steganography and Watermarking Techniques (21 papers)Chaos-based Image/Signal Encryption (20 papers)Biometric Identification and Security (15 papers)
- Partner nations
- IndiaSaudi ArabiaUkraine
In The Last Decade
Bibhas Chandra Dhara
56 papers receiving 671 citations
Peers
Comparison fields: 5 of 68
- Computer Vision and Pattern Recognition 486
- Signal Processing 315
- Artificial Intelligence 144
- Information Systems 136
- Molecular Biology 33
Countries citing papers authored by Bibhas Chandra Dhara
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 8 | |
| 5 | 11 | |
| 6 | 9 | |
| 7 | 19 | |
| 8 | 13 | |
| 9 | 55 | |
| 10 | 10 | |
| 11 | 2 | |
| 12 | 46 | |
| 13 | 42 | |
| 14 | 7 | |
| 15 | 5 | |
| 16 | 3 | |
| 17 | 4 | |
| 18 | 22 | |
| 19 | 7 | |
| 20 | 24 |
About Bibhas Chandra Dhara
Bibhas Chandra Dhara is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Information Systems, having authored 60 papers that have together received 717 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (21 papers), Chaos-based Image/Signal Encryption (20 papers) and Biometric Identification and Security (15 papers). The work is most often cited by research in Signal Processing (315 citations), Computer Vision and Pattern Recognition (486 citations) and Information Systems (136 citations). Bibhas Chandra Dhara has collaborated with scholars based in India, Saudi Arabia and Ukraine. Frequent co-authors include Bhabatosh Chanda, Saiyed Umer, Ranjeet Kumar Rout, Hari Mohan Pandey, Anupam Ghosh, Rajat K. De, Sanjoy Kumar Saha, Rudrasis Chakraborty, R. Meenakshi Sundaram and Ahmad Ali AlZubi. Their work appears in journals such as IEEE Access, Sensors and Pattern Recognition.
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.