Akbar Zada
- Applied Mathematics top 0.1%
- Modeling and Simulation top 0.05%
- Numerical Analysis top 0.5%
- Control and Systems Engineering top 5%
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- Syed Omar ShahZeeshan AliTongxing LiKamal ShahJehad AlzabutUsman RiazWajid AliShahram Rezapour
- Topics
- Nonlinear Differential Equations Analysis (146 papers)Fractional Differential Equations Solutions (107 papers)Functional Equations Stability Results (73 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessJournal of the Franklin Institute
- Partner nations
- PakistanChinaSaudi Arabia
In The Last Decade
Akbar Zada
164 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Applied Mathematics 2.4k
- Modeling and Simulation 2.1k
- Numerical Analysis 805
- Control and Systems Engineering 290
- Public Health, Environmental and Occupational Health 160
Countries citing papers authored by Akbar Zada
This map shows the geographic impact of Akbar Zada'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 Akbar Zada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akbar Zada more than expected).
Fields of papers citing papers by Akbar Zada
This network shows the impact of papers produced by Akbar Zada. 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 Akbar Zada. The network helps show where Akbar Zada may publish in the future.
Co-authorship network of co-authors of Akbar Zada
This figure shows the co-authorship network connecting the top 25 collaborators of Akbar Zada. A scholar is included among the top collaborators of Akbar Zada 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 Akbar Zada. Akbar Zada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 16 | |
| 10 | 6 | |
| 11 | 15 | |
| 12 | 10 | |
| 13 | 16 | |
| 14 | 17 | |
| 15 | 11 | |
| 16 | 60 | |
| 17 | 38 | |
| 18 | 2 | |
| 19 | 7 | |
| 20 | A characterization of dichotomy in terms of boundedness of solutions for some Cauchy problems | 12 |
About Akbar Zada
Akbar Zada is a scholar working on Modeling and Simulation, Applied Mathematics and Numerical Analysis, having authored 182 papers that have together received 2.8k indexed citations. Recurring topics across this work include Nonlinear Differential Equations Analysis (146 papers), Fractional Differential Equations Solutions (107 papers) and Functional Equations Stability Results (73 papers). The work is most often cited by research in Modeling and Simulation (2.1k citations), Applied Mathematics (2.4k citations) and Numerical Analysis (805 citations). Akbar Zada has collaborated with scholars based in Pakistan, China and Saudi Arabia. Frequent co-authors include Syed Omar Shah, Zeeshan Ali, Tongxing Li, Kamal Shah, Jehad Alzabut, Usman Riaz, Wajid Ali, Shahram Rezapour, Yongjin Li and Ioan‐Lucian Popa. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Journal of the Franklin Institute.
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.