Tuhina Mukherjee
- Applied Mathematics top 2%
- Computational Theory and Mathematics top 2%
- Mathematical Physics top 10%
- Control and Systems Engineering
- Modeling and Simulation
- Co-authors
- K. SreenadhJacques GiacomoniPatrick WinkertAlessio FiscellaPrashanta GarainPatrizia PucciMingqi XiangClaudianor O. Alves
- Topics
- Nonlinear Partial Differential Equations (24 papers)Advanced Mathematical Modeling in Engineering (23 papers)Nonlinear Differential Equations Analysis (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Mathematical Analysis and ApplicationsNonlinear Analysis
In The Last Decade
Tuhina Mukherjee
22 papers receiving 271 citations
Peers
Comparison fields: 5 of 13
- Applied Mathematics 278
- Computational Theory and Mathematics 198
- Mathematical Physics 97
- Control and Systems Engineering 27
- Modeling and Simulation 15
Countries citing papers authored by Tuhina Mukherjee
This map shows the geographic impact of Tuhina Mukherjee'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 Tuhina Mukherjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tuhina Mukherjee more than expected).
Fields of papers citing papers by Tuhina Mukherjee
This network shows the impact of papers produced by Tuhina Mukherjee. 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 Tuhina Mukherjee. The network helps show where Tuhina Mukherjee may publish in the future.
Co-authorship network of co-authors of Tuhina Mukherjee
This figure shows the co-authorship network connecting the top 25 collaborators of Tuhina Mukherjee. A scholar is included among the top collaborators of Tuhina Mukherjee 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 Tuhina Mukherjee. Tuhina Mukherjee 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 | 0 | |
| 3 | 3 | |
| 4 | 36 | |
| 5 | 9 | |
| 6 | 3 | |
| 7 | 28 | |
| 8 | 0 | |
| 9 | 5 | |
| 10 | 8 | |
| 11 | 0 | |
| 12 | 12 | |
| 13 | 7 | |
| 14 | 7 | |
| 15 | 23 | |
| 16 | 8 | |
| 17 | 6 | |
| 18 | Fractional elliptic equations with critical growth and singular nonlinearities | 15 |
| 19 | 40 | |
| 20 | 39 |
About Tuhina Mukherjee
Tuhina Mukherjee is a scholar working on Applied Mathematics, Computational Theory and Mathematics and Mathematical Physics, having authored 26 papers that have together received 288 indexed citations. Recurring topics across this work include Nonlinear Partial Differential Equations (24 papers), Advanced Mathematical Modeling in Engineering (23 papers) and Nonlinear Differential Equations Analysis (11 papers). The work is most often cited by research in Applied Mathematics (278 citations), Computational Theory and Mathematics (198 citations) and Mathematical Physics (97 citations). Tuhina Mukherjee has collaborated with scholars based in India, France and Italy. Frequent co-authors include K. Sreenadh, Jacques Giacomoni, Patrick Winkert, Alessio Fiscella, Prashanta Garain, Patrizia Pucci, Mingqi Xiang, Claudianor O. Alves and Deepak Kumar Mahanta. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Mathematical Analysis and Applications and Nonlinear Analysis.
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.