Manoj Kumar
Impact in
- Modeling and Simulation top 0.2%
- Fractional Differential Equations Solutions
- Numerical Analysis top 0.5%
- Differential Equations and Numerical Methods
- Numerical methods for differential equations
- Iterative Methods for Nonlinear Equations
Papers in
-
- Differential Equations and Numerical Methods 52
- Numerical methods for differential equations 38
- Iterative Methods for Nonlinear Equations 22
-
- Fractional Differential Equations Solutions 65
- Co-authors
- Neha Yadav (3 shared papers)Pratibha Verma (13 shared papers)Amit Prakash (10 shared papers)Sapna Pandit (5 shared papers)Anupam Yadav (2 shared papers)Hradyesh Kumar Mishra (4 shared papers)Pitam Singh (3 shared papers)Kapil K. Sharma (1 shared paper)
In The Last Decade
Manoj Kumar
104 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 98
- Modeling and Simulation 1.0k
- Numerical Analysis 909
- Statistical and Nonlinear Physics 501
- Applied Mathematics 288
- Computational Mechanics 190
Countries citing papers authored by Manoj Kumar
This map shows the geographic impact of Manoj Kumar'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 Manoj Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manoj Kumar more than expected).
Fields of papers citing papers by Manoj Kumar
This network shows the impact of papers produced by Manoj Kumar. 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 Manoj Kumar. The network helps show where Manoj Kumar may publish in the future.
Co-authors
The 21 scholars most cited alongside Manoj Kumar, 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 105 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 146 | |
| 2 | 2011 | 135 | |
| 3 | 2010 | 87 | |
| 4 | 2013 | 77 | |
| 5 | 2015 | 60 | |
| 6 | 2020 | 55 | |
| 7 | 2018 | 50 | |
| 8 | 2014 | 45 | |
| 9 | 2007 | 44 | |
| 10 | 2020 | 44 | |
| 11 | 2020 | 41 | |
| 12 | 2014 | 41 | |
| 13 | 2015 | 40 | |
| 14 | 2011 | 40 | |
| 15 | 2020 | 36 | |
| 16 | 2008 | 35 | |
| 17 | 2016 | 31 | |
| 18 | 2002 | 29 | |
| 19 | 2015 | 26 | |
| 20 | 2020 | 25 |
About Manoj Kumar
Manoj Kumar is a scholar working on Numerical Analysis, Modeling and Simulation, Applied Mathematics, Statistical and Nonlinear Physics and Computational Mechanics, having authored 105 papers that have together received 1.8k indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (65 papers), Differential Equations and Numerical Methods (52 papers), Numerical methods for differential equations (38 papers), Iterative Methods for Nonlinear Equations (22 papers), Differential Equations and Boundary Problems (15 papers), Nonlinear Differential Equations Analysis (13 papers), Nonlinear Waves and Solitons (11 papers) and Model Reduction and Neural Networks (9 papers). The work is most often cited by research in Modeling and Simulation (1.0k citations), Numerical Analysis (909 citations), Statistical and Nonlinear Physics (501 citations), Applied Mathematics (288 citations) and Computational Mechanics (190 citations). Manoj Kumar has collaborated with scholars based in India, Romania and Ethiopia. Frequent co-authors include Neha Yadav, Pratibha Verma, Amit Prakash, Sapna Pandit, Anupam Yadav, Hradyesh Kumar Mishra, Pitam Singh, Kapil K. Sharma, Dumitru Bǎleanu and Akhilesh Kumar Singh. Their work appears in journals such as Applied Mathematics and Computation, Engineering With Computers, Advances in Complex Systems, Journal of Computational and Nonlinear Dynamics 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.