Revna Acar Vural
- Electrical and Electronic Engineering
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 5%
- Biomedical Engineering
- Control and Systems Engineering
- Co-authors
- Tülay YıldırımNihan KahramanBurcu ErkmenUmut Engin AytenKlaus DiepoldMustafa Berke YeltenNurhan Türker Tokan
- Topics
- Evolutionary Algorithms and Applications (11 papers)Metaheuristic Optimization Algorithms Research (9 papers)Advanced DC-DC Converters (6 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceElectrical and Electronic Engineering
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Industrial ElectronicsIEEE Transactions on Power Electronics
In The Last Decade
Revna Acar Vural
36 papers receiving 475 citations
Peers
Comparison fields: 5 of 58
- Electrical and Electronic Engineering 297
- Artificial Intelligence 227
- Computational Theory and Mathematics 129
- Biomedical Engineering 84
- Control and Systems Engineering 43
Countries citing papers authored by Revna Acar Vural
This map shows the geographic impact of Revna Acar Vural'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 Revna Acar Vural with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Revna Acar Vural more than expected).
Fields of papers citing papers by Revna Acar Vural
This network shows the impact of papers produced by Revna Acar Vural. 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 Revna Acar Vural. The network helps show where Revna Acar Vural may publish in the future.
Co-authorship network of co-authors of Revna Acar Vural
This figure shows the co-authorship network connecting the top 25 collaborators of Revna Acar Vural. A scholar is included among the top collaborators of Revna Acar Vural 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 Revna Acar Vural. Revna Acar Vural 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 | 0 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 7 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 7 | |
| 16 | 8 | |
| 17 | Low-pass filter approximation with evolutionary techniques | 3 |
| 18 | 24 | |
| 19 | 15 | |
| 20 | 16 |
About Revna Acar Vural
Revna Acar Vural is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 39 papers that have together received 497 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (11 papers), Metaheuristic Optimization Algorithms Research (9 papers) and Advanced DC-DC Converters (6 papers). The work is most often cited by research in Computational Theory and Mathematics (129 citations), Artificial Intelligence (227 citations) and Electrical and Electronic Engineering (297 citations). Revna Acar Vural has collaborated with scholars based in Türkiye, Iraq and Germany. Frequent co-authors include Tülay Yıldırım, Nihan Kahraman, Burcu Erkmen, Umut Engin Ayten, Klaus Diepold, Mustafa Berke Yelten and Nurhan Türker Tokan. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and IEEE Transactions on Power Electronics.
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.