İdiris Dağ
Impact in
- Modeling and Simulation top 5%
- Fractional Differential Equations Solutions
- Numerical Analysis top 5%
- Differential Equations and Numerical Methods
- Numerical methods for differential equations
Papers in
-
- Differential Equations and Numerical Methods 6
- Numerical methods for differential equations 3
-
- Solar Radiation and Photovoltaics 3
- Imbalanced Data Classification Techniques 2
- Co-authors
- Özlem Ersoy Hepson (4 shared papers)Bülent Saka (1 shared paper)Mustafa Servet Kıran (1 shared paper)Hasan Temurtaş (2 shared papers)Alper Korkmaz (1 shared paper)
- Journals
- Energy Reports (3 papers)Neural Computing and Applications (1 paper)Chaos Solitons & Fractals (1 paper)Applied Soft Computing (1 paper)Mathematical Methods in the Applied Sciences (1 paper)
- Partner nations
- Türkiye
In The Last Decade
İdiris Dağ
15 papers receiving 278 citations
Peers
Comparison fields: 5 of 51
- Modeling and Simulation 83
- Numerical Analysis 89
- Statistical and Nonlinear Physics 66
- Renewable Energy, Sustainability and the Environment 56
- Artificial Intelligence 104
Countries citing papers authored by İdiris Dağ
This map shows the geographic impact of İdiris Dağ'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 İdiris Dağ with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites İdiris Dağ more than expected).
Fields of papers citing papers by İdiris Dağ
This network shows the impact of papers produced by İdiris Dağ. 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 İdiris Dağ. The network helps show where İdiris Dağ may publish in the future.
Co-authors
The 5 scholars most cited alongside İdiris Dağ, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 48 | |
| 2 | 2022 | 39 | |
| 3 | 2021 | 29 | |
| 4 | 2016 | 29 | |
| 5 | A COLLOCATION METHOD FOR THE NUMERICAL SOLUTION OF THE RLW EQUATION USING CUBIC B-SPLINE BASIS | 2005 | 27 |
| 6 | 2020 | 23 | |
| 7 | 2023 | 22 | |
| 8 | 2024 | 20 | |
| 9 | 2018 | 15 | |
| 10 | 2016 | 13 | |
| 11 | 2019 | 7 | |
| 12 | 2023 | 6 | |
| 13 | 2018 | 6 | |
| 14 | 2024 | 3 | |
| 15 | 2022 | 2 |
About İdiris Dağ
İdiris Dağ is a scholar working on Numerical Analysis, Artificial Intelligence, Statistical and Nonlinear Physics, Modeling and Simulation and Renewable Energy, Sustainability and the Environment, having authored 15 papers that have together received 289 indexed citations. Recurring topics across this work include Differential Equations and Numerical Methods (6 papers), Nonlinear Waves and Solitons (5 papers), Fractional Differential Equations Solutions (4 papers), Solar Radiation and Photovoltaics (3 papers), Photovoltaic System Optimization Techniques (3 papers), Numerical methods for differential equations (3 papers), Imbalanced Data Classification Techniques (2 papers) and Artificial Intelligence in Healthcare (2 papers). The work is most often cited by research in Modeling and Simulation (83 citations), Numerical Analysis (89 citations), Statistical and Nonlinear Physics (66 citations), Renewable Energy, Sustainability and the Environment (56 citations) and Artificial Intelligence (104 citations). İdiris Dağ has collaborated with scholars based in Türkiye. Frequent co-authors include Özlem Ersoy Hepson, Bülent Saka, Mustafa Servet Kıran, Hasan Temurtaş and Alper Korkmaz. Their work appears in journals such as Energy Reports, Neural Computing and Applications, Chaos Solitons & Fractals, Applied Soft Computing and Mathematical Methods in the 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.