Sachin Bhalekar
- Modeling and Simulation top 0.1%
- Numerical Analysis top 0.5%
- Statistical and Nonlinear Physics top 0.5%
- Computer Networks and Communications top 5%
- Applied Mathematics top 2%
- Co-authors
- Varsha Daftardar‐GejjiDumitru BǎleanuRichard L. MaginPrashant M. GadeP. MuthukumarDeepa GuptaParikshit DuttaA. A. Elsadany
- Topics
- Fractional Differential Equations Solutions (44 papers)Chaos control and synchronization (23 papers)Nonlinear Dynamics and Pattern Formation (14 papers)
- Journals
- Journal of Mathematical Analysis and ApplicationsChaos Solitons & FractalsApplied Mathematics and Computation
- Partner nations
- IndiaUnited StatesRomania
In The Last Decade
Sachin Bhalekar
56 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 58
- Modeling and Simulation 1.4k
- Numerical Analysis 817
- Statistical and Nonlinear Physics 797
- Computer Networks and Communications 358
- Applied Mathematics 358
Countries citing papers authored by Sachin Bhalekar
This map shows the geographic impact of Sachin Bhalekar'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 Sachin Bhalekar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sachin Bhalekar more than expected).
Fields of papers citing papers by Sachin Bhalekar
This network shows the impact of papers produced by Sachin Bhalekar. 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 Sachin Bhalekar. The network helps show where Sachin Bhalekar may publish in the future.
Co-authorship network of co-authors of Sachin Bhalekar
This figure shows the co-authorship network connecting the top 25 collaborators of Sachin Bhalekar. A scholar is included among the top collaborators of Sachin Bhalekar 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 Sachin Bhalekar. Sachin Bhalekar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 6 | |
| 8 | 5 | |
| 9 | 11 | |
| 10 | 1 | |
| 11 | 11 | |
| 12 | An Analytical Solution of Fisher’s Equation Using Decomposition Method | 13 |
| 13 | Enhanced Gram-Schmidt Process for Improving the Stability in Signal and Image Processing | 7 |
| 14 | 1 | |
| 15 | 48 | |
| 16 | 102 | |
| 17 | 106 | |
| 18 | 100 | |
| 19 | 129 | |
| 20 | 113 |
About Sachin Bhalekar
Sachin Bhalekar is a scholar working on Modeling and Simulation, Numerical Analysis and Statistical and Nonlinear Physics, having authored 57 papers that have together received 1.9k indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (44 papers), Chaos control and synchronization (23 papers) and Nonlinear Dynamics and Pattern Formation (14 papers). The work is most often cited by research in Modeling and Simulation (1.4k citations), Numerical Analysis (817 citations) and Statistical and Nonlinear Physics (797 citations). Sachin Bhalekar has collaborated with scholars based in India, United States and Romania. Frequent co-authors include Varsha Daftardar‐Gejji, Dumitru Bǎleanu, Richard L. Magin, Prashant M. Gade, P. Muthukumar, Deepa Gupta, Parikshit Dutta, A. A. Elsadany, A. Elsaid and Delfim F. M. Torres. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Chaos Solitons & Fractals and Applied Mathematics and Computation.
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.