Ram K. Saxena
- Applied Mathematics top 2%
- Modeling and Simulation top 1%
- Numerical Analysis top 5%
- Statistical and Nonlinear Physics top 5%
- Electrical and Electronic Engineering
- Co-authors
- A. M. MathaiH. J. HauboldTibor K. PogányRavi SaxenaH. M. SrivastavaRoberto GarraRakesh K. ParmarEnzo Orsingher
- Topics
- Mathematical functions and polynomials (18 papers)Fractional Differential Equations Solutions (15 papers)Iterative Methods for Nonlinear Equations (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaPhysica A Statistical Mechanics and its ApplicationsApplied Mathematics and Computation
In The Last Decade
Ram K. Saxena
32 papers receiving 686 citations
Hit Papers
Peers
Comparison fields: 5 of 52
- Applied Mathematics 358
- Modeling and Simulation 335
- Numerical Analysis 161
- Statistical and Nonlinear Physics 125
- Electrical and Electronic Engineering 108
Countries citing papers authored by Ram K. Saxena
This map shows the geographic impact of Ram K. Saxena'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 Ram K. Saxena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ram K. Saxena more than expected).
Fields of papers citing papers by Ram K. Saxena
This network shows the impact of papers produced by Ram K. Saxena. 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 Ram K. Saxena. The network helps show where Ram K. Saxena may publish in the future.
Co-authorship network of co-authors of Ram K. Saxena
This figure shows the co-authorship network connecting the top 25 collaborators of Ram K. Saxena. A scholar is included among the top collaborators of Ram K. Saxena 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 Ram K. Saxena. Ram K. Saxena is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 9 | |
| 4 | 6 | |
| 5 | The incomplete generalized $\tau$-hypergeometric and second $\tau$-Appell functions | 2 |
| 6 | Integral transforms of the S-functions | 10 |
| 7 | 6 | |
| 8 | 7 | |
| 9 | 12 | |
| 10 | Integral transforms of k-generalized Mittag-Leffler function E_{k,α,β}^{γ,τ}(z) | 10 |
| 11 | 13 | |
| 12 | On the two-dimensional Saigo-Maeda fractional calculus asociated with two-dimensional Aleph TRANSFORM | 4 |
| 13 | On generalized Hurwitz-Lerch Zeta distributions occuring in statistical inference | 4 |
| 14 | 11 | |
| 15 | 3 | |
| 16 | 16 | |
| 17 | Mathieu-type Series for the aleph-function Occuring in Fokker-Planck Equation | 12 |
| 18 | 7 | |
| 19 | 6 | |
| 20 | The H-Functionbreakdown → | 404 |
About Ram K. Saxena
Ram K. Saxena is a scholar working on Modeling and Simulation, Applied Mathematics and Numerical Analysis, having authored 32 papers that have together received 730 indexed citations. Recurring topics across this work include Mathematical functions and polynomials (18 papers), Fractional Differential Equations Solutions (15 papers) and Iterative Methods for Nonlinear Equations (6 papers). The work is most often cited by research in Modeling and Simulation (335 citations), Applied Mathematics (358 citations) and Numerical Analysis (161 citations). Ram K. Saxena has collaborated with scholars based in India, Croatia and Canada. Frequent co-authors include A. M. Mathai, H. J. Haubold, Tibor K. Pogány, Ravi Saxena, H. M. Srivastava, Roberto Garra, Rakesh K. Parmar, Enzo Orsingher, Gianni Pagnini and Dinesh Kumar. Their work appears in journals such as SHILAP Revista de lepidopterología, Physica A Statistical Mechanics and its Applications 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.