Minakshi Banerjee
- Computer Vision and Pattern Recognition top 5%
- Neurology
- Media Technology top 10%
- Radiology, Nuclear Medicine and Imaging
- Artificial Intelligence
- Co-authors
- Malay K. KunduPunit SharmaPradipta MajiMausumi MaitraAmlan ChakrabartiRituparna ChakiManish ChowdhurySusanta Chakraborty
- Topics
- Medical Image Segmentation Techniques (8 papers)Image Retrieval and Classification Techniques (8 papers)Retinal Imaging and Analysis (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaPattern RecognitionFuzzy Sets and Systems
- Partner nations
- India
In The Last Decade
Minakshi Banerjee
19 papers receiving 214 citations
Peers
Comparison fields: 5 of 48
- Computer Vision and Pattern Recognition 173
- Neurology 63
- Media Technology 52
- Radiology, Nuclear Medicine and Imaging 35
- Artificial Intelligence 33
Countries citing papers authored by Minakshi Banerjee
This map shows the geographic impact of Minakshi Banerjee'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 Minakshi Banerjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minakshi Banerjee more than expected).
Fields of papers citing papers by Minakshi Banerjee
This network shows the impact of papers produced by Minakshi Banerjee. 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 Minakshi Banerjee. The network helps show where Minakshi Banerjee may publish in the future.
Co-authorship network of co-authors of Minakshi Banerjee
This figure shows the co-authorship network connecting the top 25 collaborators of Minakshi Banerjee. A scholar is included among the top collaborators of Minakshi Banerjee 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 Minakshi Banerjee. Minakshi Banerjee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 15 | |
| 9 | 4 | |
| 10 | 17 | |
| 11 | 23 | |
| 12 | 37 | |
| 13 | 11 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | 11 | |
| 17 | 38 | |
| 18 | 7 | |
| 19 | Content Based Image Retrieval with Multiresolution Salient Points. | 2 |
| 20 | 33 |
About Minakshi Banerjee
Minakshi Banerjee is a scholar working on Computer Vision and Pattern Recognition, Ophthalmology and Neurology, having authored 20 papers that have together received 227 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (8 papers), Image Retrieval and Classification Techniques (8 papers) and Retinal Imaging and Analysis (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (173 citations), Neurology (63 citations) and Media Technology (52 citations). Minakshi Banerjee has collaborated with scholars based in India. Frequent co-authors include Malay K. Kundu, Punit Sharma, Pradipta Maji, Mausumi Maitra, Amlan Chakrabarti, Rituparna Chaki, Manish Chowdhury, Susanta Chakraborty, Siddhartha Bhattacharyya and Anindya Gupta. Their work appears in journals such as SHILAP Revista de lepidopterología, Pattern Recognition and Fuzzy Sets and Systems.
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.