Sanjay Chakraborty
- Artificial Intelligence top 5%
- Information Systems top 5%
- Sociology and Political Science
- Molecular Biology
- Cognitive Neuroscience
- Co-authors
- Lopamudra DeyAmlan ChakrabartiSoharab Hossain ShaikhDebashis Das ChakladarAnirban MukhopadhyaySaptarsi GoswamiBasabi ChakrabortyRanjan Ghosh
- Topics
- Quantum Computing Algorithms and Architecture (7 papers)Quantum Information and Cryptography (7 papers)Network Security and Intrusion Detection (3 papers)
In The Last Decade
Sanjay Chakraborty
38 papers receiving 695 citations
Peers
Comparison fields: 5 of 131
- Artificial Intelligence 328
- Information Systems 108
- Sociology and Political Science 67
- Molecular Biology 61
- Cognitive Neuroscience 55
Countries citing papers authored by Sanjay Chakraborty
This map shows the geographic impact of Sanjay 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 Sanjay Chakraborty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjay Chakraborty more than expected).
Fields of papers citing papers by Sanjay Chakraborty
This network shows the impact of papers produced by Sanjay 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 Sanjay Chakraborty. The network helps show where Sanjay Chakraborty may publish in the future.
Co-authorship network of co-authors of Sanjay Chakraborty
This figure shows the co-authorship network connecting the top 25 collaborators of Sanjay Chakraborty. A scholar is included among the top collaborators of Sanjay 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 Sanjay Chakraborty. Sanjay 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 | 3 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 70 | |
| 13 | 20 | |
| 14 | 2 | |
| 15 | 186 | |
| 16 | A Study of Packet Control Techniques for Wireless Network | 1 |
| 17 | Weather Forecasting using Incremental K-means Clustering | 10 |
| 18 | Molecular characterization and genogrouping of classical swine fever virus isolated from field outbreaks | 11 |
| 19 | 32 | |
| 20 | Health impairments arising from drinking water resources contaminated with Vibrio cholerae. | 1 |
About Sanjay Chakraborty
Sanjay Chakraborty is a scholar working on Artificial Intelligence, General Dentistry and Computational Theory and Mathematics, having authored 43 papers that have together received 739 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (7 papers), Quantum Information and Cryptography (7 papers) and Network Security and Intrusion Detection (3 papers). The work is most often cited by research in Artificial Intelligence (328 citations), Health Informatics (10 citations) and Information Systems (108 citations). Sanjay Chakraborty has collaborated with scholars based in India, Sweden and Japan. Frequent co-authors include Lopamudra Dey, Amlan Chakrabarti, Soharab Hossain Shaikh, Debashis Das Chakladar, Anirban Mukhopadhyay, Saptarsi Goswami, Basabi Chakraborty, Ranjan Ghosh, Naresh Kumar Nagwani and Saroj Kumar Pandey. Their work appears in journals such as IEEE Access, Gene and Engineering Applications of Artificial Intelligence.
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.