Moumita Ghosh
- Molecular Biology
- Plant Science
- Cell Biology
- Computer Vision and Pattern Recognition top 10%
- Inorganic Chemistry
- Co-authors
- C. C. F. BlakeC. AnthonyRahul GhoshC. J. LiuS. ChakrabortyV. MitterPankaj Kumar RoyBrijesh Verma
- Topics
- Handwritten Text Recognition Techniques (4 papers)Neural Networks and Applications (4 papers)Image Processing and 3D Reconstruction (4 papers)
In The Last Decade
Moumita Ghosh
23 papers receiving 314 citations
Peers
Comparison fields: 5 of 76
- Molecular Biology 105
- Plant Science 97
- Cell Biology 84
- Computer Vision and Pattern Recognition 59
- Inorganic Chemistry 41
Countries citing papers authored by Moumita Ghosh
This map shows the geographic impact of Moumita Ghosh'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 Moumita Ghosh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moumita Ghosh more than expected).
Fields of papers citing papers by Moumita Ghosh
This network shows the impact of papers produced by Moumita Ghosh. 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 Moumita Ghosh. The network helps show where Moumita Ghosh may publish in the future.
Co-authorship network of co-authors of Moumita Ghosh
This figure shows the co-authorship network connecting the top 25 collaborators of Moumita Ghosh. A scholar is included among the top collaborators of Moumita Ghosh 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 Moumita Ghosh. Moumita Ghosh 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 | 7 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | Medical image processing using a service oriented Architecture and Distributed Environment | 6 |
| 9 | 3 | |
| 10 | 88 | |
| 11 | 0 | |
| 12 | An Intelligent Offline Handwriting Recognition System Using Evolutionary Neural Learning Algorithm and Rule Based Over Segmented Data Points | 8 |
| 13 | 0 | |
| 14 | 17 | |
| 15 | A Modular Framework for Multi category feature selection in Digital mammography. | 7 |
| 16 | 21 | |
| 17 | 7 | |
| 18 | Antifungal proteins and their role in development of fungal resistance in plants. | 1 |
| 19 | 107 | |
| 20 | 1 |
About Moumita Ghosh
Moumita Ghosh is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Media Technology, having authored 26 papers that have together received 340 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (4 papers), Neural Networks and Applications (4 papers) and Image Processing and 3D Reconstruction (4 papers). The work is most often cited by research in Cell Biology (84 citations), Inorganic Chemistry (41 citations) and Computer Vision and Pattern Recognition (59 citations). Moumita Ghosh has collaborated with scholars based in India, Australia and Indonesia. Frequent co-authors include C. C. F. Blake, C. Anthony, Rahul Ghosh, C. J. Liu, S. Chakraborty, V. Mitter, Pankaj Kumar Roy, Brijesh Verma, Michael Blumenstein and Dean Webb. Their work appears in journals such as Biochemical Journal, Pattern Recognition Letters and Plant Pathology.
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.