Sujata Chakravarty
- Artificial Intelligence top 10%
- Plant Science
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Co-authors
- Puspanjali MohapatraSatyabrata DashDebasish DasP. Ravi Kiran VarmaNimay Chandra GiriKareem M. AboRasAmiya Kumar RathGeorgios Fotis
- Topics
- Network Security and Intrusion Detection (7 papers)Smart Agriculture and AI (7 papers)Remote-Sensing Image Classification (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsSensors
In The Last Decade
Sujata Chakravarty
43 papers receiving 470 citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Artificial Intelligence 168
- Plant Science 88
- Computer Networks and Communications 78
- Computer Vision and Pattern Recognition 73
- Electrical and Electronic Engineering 58
Countries citing papers authored by Sujata Chakravarty
This map shows the geographic impact of Sujata Chakravarty'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 Sujata Chakravarty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sujata Chakravarty more than expected).
Fields of papers citing papers by Sujata Chakravarty
This network shows the impact of papers produced by Sujata Chakravarty. 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 Sujata Chakravarty. The network helps show where Sujata Chakravarty may publish in the future.
Co-authorship network of co-authors of Sujata Chakravarty
This figure shows the co-authorship network connecting the top 25 collaborators of Sujata Chakravarty. A scholar is included among the top collaborators of Sujata Chakravarty 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 Sujata Chakravarty. Sujata Chakravarty 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 | 0 | |
| 3 | An optimized LSTM-based deep learning model for anomaly network intrusion detectionbreakdown → | 22 |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 19 | |
| 8 | 7 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 0 | |
| 12 | 4 | |
| 13 | 5 | |
| 14 | 16 | |
| 15 | 1 | |
| 16 | 3 | |
| 17 | 24 | |
| 18 | 4 | |
| 19 | 16 | |
| 20 | 18 |
About Sujata Chakravarty
Sujata Chakravarty is a scholar working on Media Technology, Modeling and Simulation and Computer Vision and Pattern Recognition, having authored 52 papers that have together received 497 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (7 papers), Smart Agriculture and AI (7 papers) and Remote-Sensing Image Classification (7 papers). The work is most often cited by research in Health Information Management (27 citations), Signal Processing (57 citations) and Media Technology (46 citations). Sujata Chakravarty has collaborated with scholars based in India, Egypt and Lebanon. Frequent co-authors include Puspanjali Mohapatra, Satyabrata Dash, Debasish Das, P. Ravi Kiran Varma, Nimay Chandra Giri, Kareem M. AboRas, Amiya Kumar Rath, Georgios Fotis, N. Gowtham and Sachi Nandan Mohanty. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Sensors.
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.