Pınar Çivicioğlu
- Artificial Intelligence top 1%
- Electrical and Electronic Engineering top 10%
- Computational Theory and Mathematics top 1%
- Computer Vision and Pattern Recognition top 2%
- Control and Systems Engineering top 2%
- Co-authors
- Erkan BeşdokMehmet Akıf GünenÜmit Haluk AtaseverMustafa AlçıRıfat KurbanCoşkun ÖzkanEmre Tercan
- Topics
- Metaheuristic Optimization Algorithms Research (11 papers)Image and Signal Denoising Methods (9 papers)Advanced Multi-Objective Optimization Algorithms (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsInformation Sciences
- Partner nations
- Türkiye
In The Last Decade
Pınar Çivicioğlu
29 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Artificial Intelligence 1.1k
- Electrical and Electronic Engineering 574
- Computational Theory and Mathematics 573
- Computer Vision and Pattern Recognition 423
- Control and Systems Engineering 397
Countries citing papers authored by Pınar Çivicioğlu
This map shows the geographic impact of Pınar Çivicioğlu'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 Pınar Çivicioğlu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pınar Çivicioğlu more than expected).
Fields of papers citing papers by Pınar Çivicioğlu
This network shows the impact of papers produced by Pınar Çivicioğlu. 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 Pınar Çivicioğlu. The network helps show where Pınar Çivicioğlu may publish in the future.
Co-authorship network of co-authors of Pınar Çivicioğlu
This figure shows the co-authorship network connecting the top 25 collaborators of Pınar Çivicioğlu. A scholar is included among the top collaborators of Pınar Çivicioğlu 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 Pınar Çivicioğlu. Pınar Çivicioğlu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 5 | |
| 3 | 0 | |
| 4 | 27 | |
| 5 | 23 | |
| 6 | 26 | |
| 7 | 75 | |
| 8 | 103 | |
| 9 | 20 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 104 | |
| 13 | Backtracking Search Optimization Algorithm for numerical optimization problemsbreakdown → | 820 |
| 14 | Transforming geocentric cartesian coordinates to geodetic coordinates by using differential search algorithmbreakdown → | 363 |
| 15 | A conceptual comparison of the cuckoo-search, particle swarm optimization, differential evolution and artificial bee colony algorithms. Artificial Intelligence Review, 39, 315-346 | 28 |
| 16 | 5 | |
| 17 | 5 | |
| 18 | 17 | |
| 19 | 19 | |
| 20 | 21 |
About Pınar Çivicioğlu
Pınar Çivicioğlu is a scholar working on Media Technology, Signal Processing and Computer Vision and Pattern Recognition, having authored 31 papers that have together received 2.5k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (11 papers), Image and Signal Denoising Methods (9 papers) and Advanced Multi-Objective Optimization Algorithms (9 papers). The work is most often cited by research in Computational Theory and Mathematics (573 citations), Artificial Intelligence (1.1k citations) and Media Technology (184 citations). Pınar Çivicioğlu has collaborated with scholars based in Türkiye. Frequent co-authors include Erkan Beşdok, Mehmet Akıf Günen, Ümit Haluk Atasever, Mustafa Alçı, Rıfat Kurban, Coşkun Özkan and Emre Tercan. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Information 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.