Anurag Shukla
- Applied Mathematics top 0.2%
- Modeling and Simulation top 0.2%
- Control and Systems Engineering top 1%
- Numerical Analysis top 1%
- Computational Theory and Mathematics top 2%
- Co-authors
- V. VijayakumarKottakkaran Sooppy NisarN. SukavanamDwijendra N. PandeyR. UdhayakumarC. DineshkumarMarimuthu Mohan RajaK. Kavitha
- Topics
- Nonlinear Differential Equations Analysis (85 papers)Fractional Differential Equations Solutions (60 papers)Stability and Controllability of Differential Equations (54 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEInternational Journal of Heat and Mass Transfer
- Partner nations
- IndiaSaudi ArabiaSouth Korea
In The Last Decade
Anurag Shukla
101 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 67
- Applied Mathematics 1.3k
- Modeling and Simulation 1.1k
- Control and Systems Engineering 700
- Numerical Analysis 494
- Computational Theory and Mathematics 196
Countries citing papers authored by Anurag Shukla
This map shows the geographic impact of Anurag 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 Anurag Shukla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anurag Shukla more than expected).
Fields of papers citing papers by Anurag Shukla
This network shows the impact of papers produced by Anurag 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 Anurag Shukla. The network helps show where Anurag Shukla may publish in the future.
Co-authorship network of co-authors of Anurag Shukla
This figure shows the co-authorship network connecting the top 25 collaborators of Anurag Shukla. A scholar is included among the top collaborators of Anurag Shukla 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 Anurag Shukla. Anurag Shukla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 14 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 8 | |
| 11 | 11 | |
| 12 | 11 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 4 | |
| 17 | 40 | |
| 18 | 6 | |
| 19 | Relative Entropy and Mutual Information on a Quantum Logic | 1 |
| 20 | 11 |
About Anurag Shukla
Anurag Shukla is a scholar working on Modeling and Simulation, Applied Mathematics and Numerical Analysis, having authored 107 papers that have together received 1.7k indexed citations. Recurring topics across this work include Nonlinear Differential Equations Analysis (85 papers), Fractional Differential Equations Solutions (60 papers) and Stability and Controllability of Differential Equations (54 papers). The work is most often cited by research in Modeling and Simulation (1.1k citations), Applied Mathematics (1.3k citations) and Numerical Analysis (494 citations). Anurag Shukla has collaborated with scholars based in India, Saudi Arabia and South Korea. Frequent co-authors include V. Vijayakumar, Kottakkaran Sooppy Nisar, N. Sukavanam, Dwijendra N. Pandey, R. Udhayakumar, C. Dineshkumar, Marimuthu Mohan Raja, K. Kavitha, Yong‐Ki Ma and Shimpi Singh Jadon. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Heat and Mass Transfer.
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.