Vikas Gupta
- Numerical Analysis top 1%
- Computational Theory and Mathematics top 5%
- Modeling and Simulation top 2%
- Applied Mathematics top 5%
- Computational Mechanics top 10%
- Co-authors
- Mohan K. KadalbajooRitesh Kumar DubeyAshish AwasthiMukesh KumarSunil KumarJ. F. Gómez‐AguilarAjay KumarDia Zeidan
- Topics
- Differential Equations and Numerical Methods (25 papers)Fractional Differential Equations Solutions (13 papers)Advanced Mathematical Modeling in Engineering (10 papers)
- Journals
- Journal of Mathematical Analysis and ApplicationsApplied Mathematics and ComputationComputers & Mathematics with Applications
- Partner nations
- IndiaMexicoUnited States
In The Last Decade
Vikas Gupta
32 papers receiving 536 citations
Peers
Comparison fields: 5 of 29
- Numerical Analysis 516
- Computational Theory and Mathematics 183
- Modeling and Simulation 168
- Applied Mathematics 133
- Computational Mechanics 105
Countries citing papers authored by Vikas Gupta
This map shows the geographic impact of Vikas Gupta'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 Vikas Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikas Gupta more than expected).
Fields of papers citing papers by Vikas Gupta
This network shows the impact of papers produced by Vikas Gupta. 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 Vikas Gupta. The network helps show where Vikas Gupta may publish in the future.
Co-authorship network of co-authors of Vikas Gupta
This figure shows the co-authorship network connecting the top 25 collaborators of Vikas Gupta. A scholar is included among the top collaborators of Vikas Gupta 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 Vikas Gupta. Vikas Gupta 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 | 2 | |
| 3 | 3 | |
| 4 | 15 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | 8 | |
| 9 | 12 | |
| 10 | 2 | |
| 11 | 0 | |
| 12 | 16 | |
| 13 | 11 | |
| 14 | 48 | |
| 15 | 19 | |
| 16 | Hybrid finite difference methods for solving modified burgers and Burgers-Huxley equations | 3 |
| 17 | Numerical approximation of modified burgers' equation via hybrid finite difference scheme on layer-adaptive mesh | 3 |
| 18 | 31 | |
| 19 | 50 | |
| 20 | The rate of convergence by a new type of Meyer-König and Zeller operators | 1 |
About Vikas Gupta
Vikas Gupta is a scholar working on Numerical Analysis, Modeling and Simulation and Applied Mathematics, having authored 35 papers that have together received 565 indexed citations. Recurring topics across this work include Differential Equations and Numerical Methods (25 papers), Fractional Differential Equations Solutions (13 papers) and Advanced Mathematical Modeling in Engineering (10 papers). The work is most often cited by research in Numerical Analysis (516 citations), Modeling and Simulation (168 citations) and Applied Mathematics (133 citations). Vikas Gupta has collaborated with scholars based in India, Mexico and United States. Frequent co-authors include Mohan K. Kadalbajoo, Ritesh Kumar Dubey, Ashish Awasthi, Mukesh Kumar, Sunil Kumar, J. F. Gómez‐Aguilar, Ajay Kumar, Dia Zeidan, Ulrich Abel and Daniel S. Berger. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Applied Mathematics and Computation and Computers & Mathematics 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.