A. K. Shukla
- Modeling and Simulation top 0.5%
- Fractional Differential Equations Solutions 32
- Numerical Analysis top 5%
- Iterative Methods for Nonlinear Equations 16
- Applied Mathematics top 2%
- Mathematical functions and polynomials 31
- Mathematical Inequalities and Applications 6
- Geometry and Topology top 10%
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- Advanced Mathematical Identities 8
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- Nanofluid Flow and Heat Transfer 5
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- Thermoelastic and Magnetoelastic Phenomena 5
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- Numerical methods in inverse problems 4
- Co-authors
- Jyotindra C. PrajapatiSushil KumarS. B. RaoR. C. DesaiRam K. SaxenaMukesh A. ZaveriDhananjay GopalArvind Kumar Mishra
- Journals
- SHILAP Revista de lepidopterología (3 papers)Journal of Mathematical Analysis and Applications (2 papers)SpringerPlus (2 papers)
- Partner nations
- IndiaJapanPalestinian Territory
In The Last Decade
A. K. Shukla
49 papers receiving 514 citations
Peers
Comparison fields: 5 of 79
- Modeling and Simulation 364
- Numerical Analysis 159
- Applied Mathematics 282
- Geometry and Topology 46
- Statistical and Nonlinear Physics 62
Countries citing papers authored by A. K. Shukla
This map shows the geographic impact of A. K. Shukla'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 A. K. Shukla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. K. Shukla more than expected).
Fields of papers citing papers by A. K. Shukla
This network shows the impact of papers produced by A. K. Shukla. 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 A. K. Shukla. The network helps show where A. K. Shukla may publish in the future.
Co-authorship network
The 25 scholars most cited alongside A. K. Shukla, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 0 | |
| 6 | 2022 | 3 | |
| 7 | 2022 | 1 | |
| 8 | 2022 | 1 | |
| 9 | 2021 | 2 | |
| 10 | 2016 | 20 | |
| 11 | 2016 | 5 | |
| 12 | ON A RECURRENCE RELATION OF GENERALIZED MITTAG-LEFFLER FUNCTION | 2015 | 3 |
| 13 | On binomial and trinomial operator representations of certain polynomials | 2014 | 1 |
| 14 | 2014 | 18 | |
| 15 | 2013 | 22 | |
| 16 | 2013 | 2 | |
| 17 | FRACTIONAL CALCULUS APPROACH IN THE STUDY OF INSTABILITY PHENOMENON IN FLUID DYNAMICS | 2012 | 8 |
| 18 | 2009 | 9 | |
| 19 | 2007 | 6 | |
| 20 | 2007 | 255 |
About A. K. Shukla
A. K. Shukla is a scholar working on Modeling and Simulation, Applied Mathematics and Numerical Analysis, having authored 64 papers that have together received 562 indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (32 papers), Mathematical functions and polynomials (31 papers), Iterative Methods for Nonlinear Equations (16 papers), Advanced Mathematical Identities (8 papers), Mathematical Inequalities and Applications (6 papers), Nanofluid Flow and Heat Transfer (5 papers), Thermoelastic and Magnetoelastic Phenomena (5 papers) and Numerical methods in inverse problems (4 papers). The work is most often cited by research in Modeling and Simulation (364 citations), Numerical Analysis (159 citations) and Applied Mathematics (282 citations). A. K. Shukla has collaborated with scholars based in India, Japan and Palestinian Territory. Frequent co-authors include Jyotindra C. Prajapati, Sushil Kumar, S. B. Rao, R. C. Desai, Ram K. Saxena, Mukesh A. Zaveri, Dhananjay Gopal, Arvind Kumar Mishra, Rakesh P. Patel and K. N. Pathak. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Mathematical Analysis and Applications and SpringerPlus.
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.