S. Iqbal
Impact in
- Modeling and Simulation top 0.5%
- Fractional Differential Equations Solutions
- Numerical Analysis top 2%
- Iterative Methods for Nonlinear Equations
- Differential Equations and Numerical Methods
Papers in
-
- Fractional Differential Equations Solutions 23
-
- Iterative Methods for Nonlinear Equations 15
- Co-authors
- Ali Javed (5 shared papers)Shahzad Sarwar (4 shared papers)M.S. Hashmi (5 shared papers)Najeeb Alam Khan (3 shared papers)A. M. Siddiqui (7 shared papers)Ali Ansari (4 shared papers)Manzoor Ahmad Zahid (2 shared papers)Muzammil Hussain (2 shared papers)
- Journals
- Applied Mathematics and Computation (3 papers)Computers & Mathematics with Applications (2 papers)Computational and Mathematical Organization Theory (1 paper)International Journal of Biomathematics (1 paper)Applied Sciences (1 paper)
- Partner nations
- PakistanUnited StatesChina
In The Last Decade
S. Iqbal
46 papers receiving 728 citations
Peers
Comparison fields: 5 of 82
- Modeling and Simulation 438
- Numerical Analysis 294
- Statistical and Nonlinear Physics 133
- Applied Mathematics 102
- Signal Processing 49
Countries citing papers authored by S. Iqbal
This map shows the geographic impact of S. Iqbal'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 S. Iqbal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Iqbal more than expected).
Fields of papers citing papers by S. Iqbal
This network shows the impact of papers produced by S. Iqbal. 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 S. Iqbal. The network helps show where S. Iqbal may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Iqbal, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 100 | |
| 2 | 2018 | 85 | |
| 3 | 2018 | 78 | |
| 4 | 2010 | 76 | |
| 5 | 2015 | 60 | |
| 6 | 2012 | 45 | |
| 7 | 2017 | 41 | |
| 8 | 2012 | 39 | |
| 9 | 2018 | 24 | |
| 10 | 2016 | 21 | |
| 11 | 2011 | 20 | |
| 12 | 2007 | 17 | |
| 13 | 2014 | 17 | |
| 14 | 2021 | 13 | |
| 15 | 2017 | 10 | |
| 16 | 2022 | 10 | |
| 17 | 2025 | 9 | |
| 18 | 2020 | 9 | |
| 19 | 2019 | 8 | |
| 20 | 2020 | 7 |
About S. Iqbal
S. Iqbal is a scholar working on Modeling and Simulation, Numerical Analysis, Mechanics of Materials, Biomedical Engineering and Applied Mathematics, having authored 51 papers that have together received 765 indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (23 papers), Iterative Methods for Nonlinear Equations (15 papers), Nanofluid Flow and Heat Transfer (7 papers), Numerical methods in engineering (6 papers), Rheology and Fluid Dynamics Studies (6 papers), Nonlinear Differential Equations Analysis (4 papers), Mathematical functions and polynomials (4 papers) and Mobile Health and mHealth Applications (3 papers). The work is most often cited by research in Modeling and Simulation (438 citations), Numerical Analysis (294 citations), Statistical and Nonlinear Physics (133 citations), Applied Mathematics (102 citations) and Signal Processing (49 citations). S. Iqbal has collaborated with scholars based in Pakistan, United States and China. Frequent co-authors include Ali Javed, Shahzad Sarwar, M.S. Hashmi, Najeeb Alam Khan, A. M. Siddiqui, Ali Ansari, Manzoor Ahmad Zahid, Muzammil Hussain, A. A. Zaidan and Salem Alkhalaf. Their work appears in journals such as Applied Mathematics and Computation, Computers & Mathematics with Applications, Computational and Mathematical Organization Theory, International Journal of Biomathematics and Applied Sciences.
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.