Pakize Erdoğmuş
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Radiology, Nuclear Medicine and Imaging
- Neurology
- Co-authors
- Abdullah Talha KabakuşKemal PolatAli Öztürkİbrahim YücedağAmira S. AshourYanhui GuoFatih KayaalpDevrim Akgün
- Topics
- Metaheuristic Optimization Algorithms Research (9 papers)AI in cancer detection (6 papers)Brain Tumor Detection and Classification (5 papers)
- Cited by
- Health Information ManagementComputer Vision and Pattern RecognitionArtificial Intelligence
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessApplied Soft Computing
- Partner nations
- TürkiyeEgyptUnited Arab Emirates
In The Last Decade
Pakize Erdoğmuş
38 papers receiving 305 citations
Peers
Comparison fields: 5 of 97
- Artificial Intelligence 133
- Computer Vision and Pattern Recognition 85
- Electrical and Electronic Engineering 45
- Radiology, Nuclear Medicine and Imaging 42
- Neurology 31
Countries citing papers authored by Pakize Erdoğmuş
This map shows the geographic impact of Pakize Erdoğmuş'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 Pakize Erdoğmuş with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pakize Erdoğmuş more than expected).
Fields of papers citing papers by Pakize Erdoğmuş
This network shows the impact of papers produced by Pakize Erdoğmuş. 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 Pakize Erdoğmuş. The network helps show where Pakize Erdoğmuş may publish in the future.
Co-authorship network of co-authors of Pakize Erdoğmuş
This figure shows the co-authorship network connecting the top 25 collaborators of Pakize Erdoğmuş. A scholar is included among the top collaborators of Pakize Erdoğmuş 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 Pakize Erdoğmuş. Pakize Erdoğmuş 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 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 1 | |
| 9 | Nature Inspired Optimization Algorithms and Their Performance on the Solution of Nonlinear Equation Systems | 2 |
| 10 | 17 | |
| 11 | 31 | |
| 12 | 2 | |
| 13 | 5 | |
| 14 | 1 | |
| 15 | 7 | |
| 16 | 5 | |
| 17 | PARÇACIK SÜRÜ OPTİMİZASYONU İLE KISITSIZ OPTİMİZASYON TEST PROBLEMLERİNİN ÇÖZÜMÜ | 1 |
| 18 | DÜZCE İLİNİN HAYVANSAL ATIKLARDAN ÜRETİLEBİLECEK BİYOGAZ POTANSİYELİ VE K-MEANS KÜMELEME İLE OPTİMUM TESİS KONUMUNUN BELİRLENMESİ | 3 |
| 19 | 25 | |
| 20 | Environmental/Economic Dispatch using Genetic Algorithm and Simulated Annealing | 3 |
About Pakize Erdoğmuş
Pakize Erdoğmuş is a scholar working on Computer Vision and Pattern Recognition, Health Information Management and Media Technology, having authored 45 papers that have together received 328 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (9 papers), AI in cancer detection (6 papers) and Brain Tumor Detection and Classification (5 papers). The work is most often cited by research in Health Information Management (30 citations), Computer Vision and Pattern Recognition (85 citations) and Artificial Intelligence (133 citations). Pakize Erdoğmuş has collaborated with scholars based in Türkiye, Egypt and United Arab Emirates. Frequent co-authors include Abdullah Talha Kabakuş, Kemal Polat, Ali Öztürk, İbrahim Yücedağ, Amira S. Ashour, Yanhui Guo, Fatih Kayaalp, Devrim Akgün, Meral Kekeçoğlu and Hasan Demir. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Applied Soft Computing.
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.