Pakize Erdoğmuş

508 total citations
45 papers, 328 citations indexed

About

Pakize Erdoğmuş is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Pakize Erdoğmuş has authored 45 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 7 papers in Media Technology. Recurrent topics in Pakize Erdoğmuş's work include Metaheuristic Optimization Algorithms Research (9 papers), AI in cancer detection (6 papers) and Brain Tumor Detection and Classification (5 papers). Pakize Erdoğmuş is often cited by papers focused on Metaheuristic Optimization Algorithms Research (9 papers), AI in cancer detection (6 papers) and Brain Tumor Detection and Classification (5 papers). Pakize Erdoğmuş collaborates with scholars based in Türkiye, Egypt and United Arab Emirates. Pakize Erdoğmuş's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Applied Soft Computing.

In The Last Decade

Pakize Erdoğmuş

38 papers receiving 305 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pakize Erdoğmuş Türkiye 11 133 85 45 42 31 45 328
Summrina Kanwal Saudi Arabia 11 185 1.4× 67 0.8× 29 0.6× 61 1.5× 16 0.5× 22 371
Yousef Alhwaiti Saudi Arabia 10 141 1.1× 100 1.2× 38 0.8× 87 2.1× 34 1.1× 22 385
Amin Alqudah Jordan 14 138 1.0× 112 1.3× 36 0.8× 129 3.1× 22 0.7× 32 413
A. Manikandan India 15 156 1.2× 103 1.2× 157 3.5× 33 0.8× 41 1.3× 43 545
A. Harshavardhan India 11 112 0.8× 62 0.7× 55 1.2× 45 1.1× 31 1.0× 33 395
Abdullah Al Hejaili Saudi Arabia 12 144 1.1× 75 0.9× 27 0.6× 56 1.3× 16 0.5× 45 359
Saeed Iqbal Pakistan 12 167 1.3× 94 1.1× 43 1.0× 130 3.1× 57 1.8× 42 425
S. Praveena India 7 117 0.9× 77 0.9× 110 2.4× 27 0.6× 17 0.5× 41 352
Fadzil Ahmad Malaysia 10 190 1.4× 60 0.7× 30 0.7× 34 0.8× 23 0.7× 27 351

Countries citing papers authored by Pakize Erdoğmuş

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
2.
Erdoğmuş, Pakize, et al.. (2024). Car Object Detection: Comparative Analysis of YOLOv9 and YOLOv10 Models. 1–6. 2 indexed citations
3.
Erdoğmuş, Pakize, et al.. (2024). Mi-DETR: For Mitosis Detection From Breast Histopathology Images an Improved DETR. IEEE Access. 12. 179235–179251.
4.
Kabakuş, Abdullah Talha & Pakize Erdoğmuş. (2024). EMPOWERING SELF-DETECTION: A GRAPHICAL USER INTERFACE POWERED BY MACHINE LEARNING FOR EARLY DIAGNOSIS OF ALZHEIMER'S DISEASE. DergiPark (Istanbul University). 23(46). 245–270.
5.
Erdoğmuş, Pakize, et al.. (2024). Question answering system with text mining and deep networks. Evolving Systems. 15(5). 1787–1799. 2 indexed citations
6.
Erdoğmuş, Pakize, et al.. (2023). A Novel Gender Classification Model based on Convolutional Neural Network through Handwritten Text and Numeral. SHILAP Revista de lepidopterología. 6(3). 172–188. 1 indexed citations
7.
Kayaalp, Fatih & Pakize Erdoğmuş. (2020). Benchmarking the Clustering Performances of Evolutionary Algorithms: A Case Study on Varying Data Size. IRBM. 41(5). 267–275. 10 indexed citations
8.
Erdoğmuş, Pakize, et al.. (2019). Müzik Türlerinin Derin Öğrenme Ağları ile Sınıflandırılması. SHILAP Revista de lepidopterología. 2(1). 53–60. 1 indexed citations
9.
Erdoğmuş, Pakize. (2018). Nature Inspired Optimization Algorithms and Their Performance on the Solution of Nonlinear Equation Systems. SHILAP Revista de lepidopterología. 1(1). 44–57. 2 indexed citations
10.
Erdoğmuş, Pakize, et al.. (2018). Font and Turkish Letter Recognition in Images with Deep Learning. DSpace - Düzce (Duzce University). 61–64. 17 indexed citations
11.
Erdoğmuş, Pakize, et al.. (2017). Comparative study of heart disease classification. 1–4. 31 indexed citations
12.
13.
Erdoğmuş, Pakize, et al.. (2016). Finding an optimum location for biogas plant: a case study for Duzce, Turkey. Neural Computing and Applications. 29(1). 157–165. 5 indexed citations
14.
Çelik, Canan & Pakize Erdoğmuş. (2016). A new approach in human retina optic disc segmentation using Graph Cut. 1517–1520. 1 indexed citations
15.
Erdoğmuş, Pakize, et al.. (2016). Nonlinear Regression using Particle Swarm Optimization and Genetic Algorithm. International Journal of Computer Applications. 153(6). 28–36. 7 indexed citations
16.
Erdoğmuş, Pakize, et al.. (2016). The classification of breast cancer with Machine Learning Techniques. 1–4. 5 indexed citations
17.
Erdoğmuş, Pakize, et al.. (2015). PARÇACIK SÜRÜ OPTİMİZASYONU İLE KISITSIZ OPTİMİZASYON TEST PROBLEMLERİNİN ÇÖZÜMÜ. DergiPark (Istanbul University). 4(1). 14–22. 1 indexed citations
18.
Erdoğmuş, Pakize, et al.. (2015). DÜZCE İLİNİN HAYVANSAL ATIKLARDAN ÜRETİLEBİLECEK BİYOGAZ POTANSİYELİ VE K-MEANS KÜMELEME İLE OPTİMUM TESİS KONUMUNUN BELİRLENMESİ. DergiPark (Istanbul University). 4(1). 47–56. 3 indexed citations
19.
Öztürk, Ali, et al.. (2010). Reactive power optimization with artificial bee colony algorithm. Scientific Research and Essays. 5(19). 2848–2857. 25 indexed citations
20.
Erdoğmuş, Pakize, Ali Öztürk, & Serhat Duman. (2009). Environmental/Economic Dispatch using Genetic Algorithm and Simulated Annealing. DSpace - Düzce (Duzce University). 1–4. 3 indexed citations

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.

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