Sovon Chakraborty
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Vision and Pattern Recognition
- Information Systems
- Plant Science
- Co-authors
- F. M. Javed Mehedi ShamratMd. Masum BillahAsif KarimShamima AkterSami AzamRumesh RanjanMubashir ImranObaidur Rahman
- Topics
- Sentiment Analysis and Opinion Mining (3 papers)COVID-19 diagnosis using AI (3 papers)Spam and Phishing Detection (2 papers)
- Cited by
- Health Information ManagementArtificial IntelligenceRadiology, Nuclear Medicine and Imaging
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessBiology
- Partner nations
- BangladeshIndiaChina
In The Last Decade
Sovon Chakraborty
21 papers receiving 423 citations
Peers
Comparison fields: 5 of 90
- Artificial Intelligence 209
- Radiology, Nuclear Medicine and Imaging 141
- Computer Vision and Pattern Recognition 56
- Information Systems 42
- Plant Science 42
Countries citing papers authored by Sovon Chakraborty
This map shows the geographic impact of Sovon Chakraborty'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 Sovon Chakraborty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sovon Chakraborty more than expected).
Fields of papers citing papers by Sovon Chakraborty
This network shows the impact of papers produced by Sovon Chakraborty. 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 Sovon Chakraborty. The network helps show where Sovon Chakraborty may publish in the future.
Co-authorship network of co-authors of Sovon Chakraborty
This figure shows the co-authorship network connecting the top 25 collaborators of Sovon Chakraborty. A scholar is included among the top collaborators of Sovon Chakraborty 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 Sovon Chakraborty. Sovon Chakraborty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 29 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 7 | |
| 11 | 4 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 21 | |
| 15 | 86 | |
| 16 | 52 | |
| 17 | 6 | |
| 18 | 103 | |
| 19 | 47 | |
| 20 | Frictional Behavior of Polymers Sliding Against Smooth and Rough Mild Steel Counter Faces | 3 |
About Sovon Chakraborty
Sovon Chakraborty is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 24 papers that have together received 451 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (3 papers), COVID-19 diagnosis using AI (3 papers) and Spam and Phishing Detection (2 papers). The work is most often cited by research in Health Information Management (32 citations), Artificial Intelligence (209 citations) and Radiology, Nuclear Medicine and Imaging (141 citations). Sovon Chakraborty has collaborated with scholars based in Bangladesh, India and China. Frequent co-authors include F. M. Javed Mehedi Shamrat, Md. Masum Billah, Asif Karim, Shamima Akter, Sami Azam, Rumesh Ranjan, Mubashir Imran, Obaidur Rahman, Zarrin Tasnim and S Sanjana. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Biology.
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.