Yeliz Karaca
- Modeling and Simulation top 1%
- Statistical and Nonlinear Physics top 5%
- Applied Mathematics top 5%
- Economics and Econometrics top 10%
- Artificial Intelligence
- Co-authors
- Yu‐Ming ChuSaima RashidYudong ZhangAasma KhalidDumitru BǎleanuMajaz MoonisSobia SultanaKhan Muhammad
- Topics
- Fractional Differential Equations Solutions (28 papers)Nonlinear Differential Equations Analysis (8 papers)Mathematical and Theoretical Epidemiology and Ecology Models (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
- Partner nations
- United StatesChinaSaudi Arabia
In The Last Decade
Yeliz Karaca
71 papers receiving 818 citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Modeling and Simulation 245
- Statistical and Nonlinear Physics 134
- Applied Mathematics 113
- Economics and Econometrics 84
- Artificial Intelligence 81
Countries citing papers authored by Yeliz Karaca
This map shows the geographic impact of Yeliz Karaca'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 Yeliz Karaca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yeliz Karaca more than expected).
Fields of papers citing papers by Yeliz Karaca
This network shows the impact of papers produced by Yeliz Karaca. 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 Yeliz Karaca. The network helps show where Yeliz Karaca may publish in the future.
Co-authorship network of co-authors of Yeliz Karaca
This figure shows the co-authorship network connecting the top 25 collaborators of Yeliz Karaca. A scholar is included among the top collaborators of Yeliz Karaca 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 Yeliz Karaca. Yeliz Karaca is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 14 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 22 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 8 | |
| 13 | 2 | |
| 14 | 3 | |
| 15 | 10 | |
| 16 | Evolutionary Mathematical Science, Fractional Modeling and Artificial Intelligence of Nonlinear Dynamics in Complex Systems | 3 |
| 17 | 44 | |
| 18 | 12 | |
| 19 | 8 | |
| 20 | BAYESIAN NETWORKS FOR SUB-GROUPS OF MULTIPLE SCLEROSIS | 1 |
About Yeliz Karaca
Yeliz Karaca is a scholar working on Modeling and Simulation, Applied Mathematics and Numerical Analysis, having authored 74 papers that have together received 839 indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (28 papers), Nonlinear Differential Equations Analysis (8 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (8 papers). The work is most often cited by research in Modeling and Simulation (245 citations), Statistical and Nonlinear Physics (134 citations) and Applied Mathematics (113 citations). Yeliz Karaca has collaborated with scholars based in United States, China and Saudi Arabia. Frequent co-authors include Yu‐Ming Chu, Saima Rashid, Yudong Zhang, Aasma Khalid, Dumitru Bǎleanu, Majaz Moonis, Sobia Sultana, Khan Muhammad, Mati ur Rahman and Carlo Cattani. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.
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.