Bhabatosh Chanda
- Computer Vision and Pattern Recognition top 0.5%
- Media Technology top 0.2%
- Signal Processing top 2%
- Artificial Intelligence top 5%
- Biomedical Engineering
- Co-authors
- Susanta MukhopadhyayBibhas Chandra DharaRajesh KumarJ. D. SharmaD. Dutta MajumderPulak PurkaitSaiyed UmerB.B. Chaudhuri
- Topics
- Image Retrieval and Classification Techniques (37 papers)Handwritten Text Recognition Techniques (33 papers)Image and Signal Denoising Methods (28 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Image ProcessingExpert Systems with Applications
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Bhabatosh Chanda
149 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 132
- Computer Vision and Pattern Recognition 2.2k
- Media Technology 1.0k
- Signal Processing 319
- Artificial Intelligence 307
- Biomedical Engineering 154
Countries citing papers authored by Bhabatosh Chanda
This map shows the geographic impact of Bhabatosh Chanda'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 Bhabatosh Chanda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bhabatosh Chanda more than expected).
Fields of papers citing papers by Bhabatosh Chanda
This network shows the impact of papers produced by Bhabatosh Chanda. 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 Bhabatosh Chanda. The network helps show where Bhabatosh Chanda may publish in the future.
Co-authorship network of co-authors of Bhabatosh Chanda
This figure shows the co-authorship network connecting the top 25 collaborators of Bhabatosh Chanda. A scholar is included among the top collaborators of Bhabatosh Chanda 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 Bhabatosh Chanda. Bhabatosh Chanda 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 | 56 | |
| 3 | 10 | |
| 4 | 42 | |
| 5 | 5 | |
| 6 | 9 | |
| 7 | 25 | |
| 8 | 10 | |
| 9 | 5 | |
| 10 | 0 | |
| 11 | 56 | |
| 12 | Removal of noise from sodar data using ABL characteristics guided morphological filter | 1 |
| 13 | A Very Efficient Table Detection System from Document Images. | 1 |
| 14 | Image Retrieval Using Relevance Feedback Based on Mann-Whitney Test. | 1 |
| 15 | 24 | |
| 16 | 35 | |
| 17 | Hue Preserving Color Image Enhancement Using Multi-Scale Morphology. | 5 |
| 18 | A Symmetry Based Clustering Technique for Multi-Spectral Satellite Imagery. | 2 |
| 19 | 10 | |
| 20 | 1 |
About Bhabatosh Chanda
Bhabatosh Chanda is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 157 papers that have together received 2.8k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (37 papers), Handwritten Text Recognition Techniques (33 papers) and Image and Signal Denoising Methods (28 papers). The work is most often cited by research in Media Technology (1.0k citations), Computer Vision and Pattern Recognition (2.2k citations) and Signal Processing (319 citations). Bhabatosh Chanda has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Susanta Mukhopadhyay, Bibhas Chandra Dhara, Rajesh Kumar, J. D. Sharma, D. Dutta Majumder, Pulak Purkait, Saiyed Umer, B.B. Chaudhuri, Sanchayan Santra and Soumitra Samanta. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and Expert Systems with Applications.
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.