Santo Banerjee
- Statistical and Nonlinear Physics top 0.1%
- Computer Vision and Pattern Recognition top 0.5%
- Computer Networks and Communications top 1%
- Electrical and Electronic Engineering top 5%
- Artificial Intelligence top 2%
- Co-authors
- Jun MouYinghong CaoLamberto RondoniA. GowrisankarShaobo HeYushu ZhangA. Roy ChowdhuryAsit Saha
- Topics
- Chaos control and synchronization (76 papers)Chaos-based Image/Signal Encryption (45 papers)Nonlinear Dynamics and Pattern Formation (40 papers)
- Cited by
- Statistical and Nonlinear PhysicsModeling and SimulationComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsExpert Systems with Applications
In The Last Decade
Santo Banerjee
174 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Statistical and Nonlinear Physics 2.5k
- Computer Vision and Pattern Recognition 1.3k
- Computer Networks and Communications 1.3k
- Electrical and Electronic Engineering 844
- Artificial Intelligence 586
Countries citing papers authored by Santo Banerjee
This map shows the geographic impact of Santo 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 Santo Banerjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Santo Banerjee more than expected).
Fields of papers citing papers by Santo Banerjee
This network shows the impact of papers produced by Santo 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 Santo Banerjee. The network helps show where Santo Banerjee may publish in the future.
Co-authorship network of co-authors of Santo Banerjee
This figure shows the co-authorship network connecting the top 25 collaborators of Santo Banerjee. A scholar is included among the top collaborators of Santo 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 Santo Banerjee. Santo 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 | 2 | |
| 2 | A discrete Chialvo–Rulkov neuron network coupled with a novel memristor model: Design, Dynamical analysis, DSP implementation and its applicationbreakdown → | 68 |
| 3 | 2 | |
| 4 | 15 | |
| 5 | 7 | |
| 6 | 14 | |
| 7 | 16 | |
| 8 | 11 | |
| 9 | 40 | |
| 10 | 25 | |
| 11 | 26 | |
| 12 | 13 | |
| 13 | 35 | |
| 14 | 21 | |
| 15 | 44 | |
| 16 | 4 | |
| 17 | 2 | |
| 18 | 31 | |
| 19 | 38 | |
| 20 | 28 |
About Santo Banerjee
Santo Banerjee is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation and Computer Vision and Pattern Recognition, having authored 178 papers that have together received 4.6k indexed citations. Recurring topics across this work include Chaos control and synchronization (76 papers), Chaos-based Image/Signal Encryption (45 papers) and Nonlinear Dynamics and Pattern Formation (40 papers). The work is most often cited by research in Statistical and Nonlinear Physics (2.5k citations), Modeling and Simulation (547 citations) and Computer Vision and Pattern Recognition (1.3k citations). Santo Banerjee has collaborated with scholars based in Italy, China and India. Frequent co-authors include Jun Mou, Yinghong Cao, Lamberto Rondoni, A. Gowrisankar, Shaobo He, Yushu Zhang, A. Roy Chowdhury, Asit Saha, Xinyu Gao and Tianming Liu. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.
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.