K. Sreenadh
Impact in
- Applied Mathematics top 1%
- Nonlinear Partial Differential Equations
- Nonlinear Differential Equations Analysis
- Differential Equations and Boundary Problems
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- Advanced Mathematical Modeling in Engineering
Papers in
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- Nonlinear Partial Differential Equations 81
- Nonlinear Differential Equations Analysis 43
- Differential Equations and Boundary Problems 16
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- Advanced Mathematical Modeling in Engineering 58
- Co-authors
- Jacques Giacomoni (27 shared papers)Tuhina Mukherjee (11 shared papers)S. Prashanth (13 shared papers)Pawan Kumar Mishra (2 shared papers)Vicenţiu D. Rădulescu (3 shared papers)Lalit Kumar (1 shared paper)Roberta Musina (1 shared paper)Lalit Kumar (2 shared papers)
In The Last Decade
K. Sreenadh
79 papers receiving 633 citations
Peers
Comparison fields: 5 of 13
- Applied Mathematics 639
- Computational Theory and Mathematics 480
- Mathematical Physics 226
- Modeling and Simulation 43
- Numerical Analysis 43
Countries citing papers authored by K. Sreenadh
This map shows the geographic impact of K. Sreenadh'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 K. Sreenadh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Sreenadh more than expected).
Fields of papers citing papers by K. Sreenadh
This network shows the impact of papers produced by K. Sreenadh. 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 K. Sreenadh. The network helps show where K. Sreenadh may publish in the future.
Co-authors
The 11 scholars most cited alongside K. Sreenadh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 43 | |
| 2 | 2016 | 40 | |
| 3 | 2016 | 39 | |
| 4 | 2015 | 32 | |
| 5 | 2015 | 32 | |
| 6 | 2006 | 26 | |
| 7 | 2019 | 25 | |
| 8 | 2018 | 23 | |
| 9 | 2019 | 21 | |
| 10 | 2021 | 19 | |
| 11 | 2002 | 17 | |
| 12 | Fractional elliptic equations with critical growth and singular nonlinearities | 2016 | 15 |
| 13 | 2019 | 14 | |
| 14 | 2021 | 14 | |
| 15 | 2015 | 14 | |
| 16 | 2016 | 13 | |
| 17 | 2019 | 12 | |
| 18 | 2019 | 11 | |
| 19 | 2019 | 11 | |
| 20 | 2016 | 10 |
About K. Sreenadh
K. Sreenadh is a scholar working on Applied Mathematics, Computational Theory and Mathematics, Mathematical Physics, Control and Systems Engineering and Modeling and Simulation, having authored 88 papers that have together received 673 indexed citations. Recurring topics across this work include Nonlinear Partial Differential Equations (81 papers), Advanced Mathematical Modeling in Engineering (58 papers), Nonlinear Differential Equations Analysis (43 papers), Advanced Mathematical Physics Problems (17 papers), Differential Equations and Boundary Problems (16 papers), Stability and Controllability of Differential Equations (10 papers), Fractional Differential Equations Solutions (8 papers) and Differential Equations and Numerical Methods (6 papers). The work is most often cited by research in Applied Mathematics (639 citations), Computational Theory and Mathematics (480 citations), Mathematical Physics (226 citations), Modeling and Simulation (43 citations) and Numerical Analysis (43 citations). K. Sreenadh has collaborated with scholars based in India, France and Poland. Frequent co-authors include Jacques Giacomoni, Tuhina Mukherjee, S. Prashanth, Pawan Kumar Mishra, Vicenţiu D. Rădulescu, Lalit Kumar, Roberta Musina, Lalit Kumar, Lalit Kumar and K. Sandeep. Their work appears in journals such as Nonlinear Analysis, Advances in Nonlinear Analysis, Journal of Mathematical Analysis and Applications, Mathematical Methods in the Applied Sciences and Asymptotic 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.