Doǧan Kaya
Impact in
- Modeling and Simulation top 0.1%
- Fractional Differential Equations Solutions
- Numerical Analysis top 1%
- Differential Equations and Numerical Methods
- Iterative Methods for Nonlinear Equations
- Numerical methods for differential equations
Papers in
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- Nonlinear Waves and Solitons 47
- Nonlinear Photonic Systems 26
- Model Reduction and Neural Networks 6
-
- Fractional Differential Equations Solutions 48
- Co-authors
- Salah M. El‐Sayed (10 shared papers)Asıf Yokuş (14 shared papers)Nabil Shawagfeh (2 shared papers)Serbay Duran (7 shared papers)İbrahim E. İnan (4 shared papers)Hülya Durur (5 shared papers)Kamel Al‐Khaled (2 shared papers)Kashif Ali Abro (1 shared paper)
In The Last Decade
Doǧan Kaya
63 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 58
- Modeling and Simulation 1.3k
- Numerical Analysis 717
- Statistical and Nonlinear Physics 1.3k
- Mathematical Physics 146
- Applied Mathematics 129
Countries citing papers authored by Doǧan Kaya
This map shows the geographic impact of Doǧan Kaya'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 Doǧan Kaya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Doǧan Kaya more than expected).
Fields of papers citing papers by Doǧan Kaya
This network shows the impact of papers produced by Doǧan Kaya. 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 Doǧan Kaya. The network helps show where Doǧan Kaya may publish in the future.
Co-authors
The 14 scholars most cited alongside Doǧan Kaya, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 123 | |
| 2 | 2003 | 95 | |
| 3 | 2001 | 88 | |
| 4 | 2002 | 87 | |
| 5 | 2002 | 83 | |
| 6 | 2003 | 76 | |
| 7 | 1999 | 69 | |
| 8 | 2020 | 67 | |
| 9 | 2003 | 59 | |
| 10 | 2004 | 57 | |
| 11 | 2003 | 57 | |
| 12 | 2003 | 52 | |
| 13 | 2003 | 51 | |
| 14 | 2003 | 49 | |
| 15 | 2003 | 47 | |
| 16 | 2006 | 45 | |
| 17 | 2003 | 42 | |
| 18 | 2021 | 36 | |
| 19 | 2000 | 33 | |
| 20 | 2020 | 33 |
About Doǧan Kaya
Doǧan Kaya is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation, Numerical Analysis, Mathematical Physics and Control and Systems Engineering, having authored 64 papers that have together received 1.8k indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (48 papers), Nonlinear Waves and Solitons (47 papers), Nonlinear Photonic Systems (26 papers), Numerical methods for differential equations (10 papers), Advanced Mathematical Physics Problems (9 papers), Iterative Methods for Nonlinear Equations (7 papers), Model Reduction and Neural Networks (6 papers) and Differential Equations and Numerical Methods (5 papers). The work is most often cited by research in Modeling and Simulation (1.3k citations), Numerical Analysis (717 citations), Statistical and Nonlinear Physics (1.3k citations), Mathematical Physics (146 citations) and Applied Mathematics (129 citations). Doǧan Kaya has collaborated with scholars based in Türkiye, Egypt and Pakistan. Frequent co-authors include Salah M. El‐Sayed, Asıf Yokuş, Nabil Shawagfeh, Serbay Duran, İbrahim E. İnan, Hülya Durur, Kamel Al‐Khaled, Kashif Ali Abro, Hijaz Ahmad and Muhammad Aslam Noor. Their work appears in journals such as Applied Mathematics and Computation, Physics Letters A, Computers & Mathematics with Applications, Chaos Solitons & Fractals and Advances in Difference Equations.
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.