Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Effective diagnosis of heart disease through neural networks ensembles
2008436 citationsResul Daş, İbrahim Türkoğlu et al.profile →
Comparison of deep learning approaches to predict COVID-19 infection
Countries citing papers authored by İbrahim Türkoğlu
Since
Specialization
Citations
This map shows the geographic impact of İbrahim Türkoğlu'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 İbrahim Türkoğlu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites İbrahim Türkoğlu more than expected).
Fields of papers citing papers by İbrahim Türkoğlu
This network shows the impact of papers produced by İbrahim Türkoğlu. 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 İbrahim Türkoğlu. The network helps show where İbrahim Türkoğlu may publish in the future.
Co-authorship network of co-authors of İbrahim Türkoğlu
This figure shows the co-authorship network connecting the top 25 collaborators of İbrahim Türkoğlu.
A scholar is included among the top collaborators of İbrahim Türkoğlu 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 İbrahim Türkoğlu. İbrahim Türkoğlu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Türkoğlu, İbrahim, et al.. (2019). Kullanım Alanlarına Göre Robot Sistemlerinin Sınıflandırılması. Fırat Üniversitesi Mühendislik Bilimleri Dergisi. 31(1). 53–66.
6.
Türkoğlu, İbrahim, et al.. (2018). The Comparison Of Leaf Classification Performance Of Deep Learning Algorithms. DergiPark (Istanbul University).8 indexed citations
7.
Türkoğlu, İbrahim, et al.. (2018). Derin Öğrenme Algoritmalarının Yaprak Sınıflandırma Başarımlarının Karşılaştırılması. SHILAP Revista de lepidopterología. 1(1). 10–21.7 indexed citations
8.
Toraman, Suat & İbrahim Türkoğlu. (2018). Derin Öğrenme ile FTIR Sinyallerinden Kolon Kanseri Riskinin Belirlenmesi. DergiPark (Istanbul University). 30(3). 115–120.1 indexed citations
9.
Daş, Resul, et al.. (2016). İmgeler için yeni bir veri gizleme yaklaşımı. DÜMF Mühendislik Dergisi. 7(3). 501–514.2 indexed citations
10.
Şengür, Abdulkadir, İbrahim Türkoğlu, & M. Cevdet İnce. (2012). A COMPARATIVE STUDY ON ENTROPIC THRESHOLDING METHODS. DergiPark (Istanbul University).4 indexed citations
11.
Türkoğlu, İbrahim, et al.. (2012). THE PERFORMANCE ANALYSIS OF EXTENDED KALMAN FILTER ON RADAR TARGET TRACKING. DergiPark (Istanbul University).1 indexed citations
12.
Talu, Muhammed Fatih & İbrahim Türkoğlu. (2012). Hybrid Lossless Compression Method For Binary Images. DergiPark (Istanbul University).5 indexed citations
13.
Avcı, Engin, İbrahim Türkoğlu, & Mustafa Poyraz. (2012). A NEW APPROACH BASED ON WAVELET NERO GENETIC NETWORK FOR AUTOMATIC TARGET RECOGNITION WITH X-BAND DOPPLER RADAR. DergiPark (Istanbul University).1 indexed citations
14.
Daş, Resul & İbrahim Türkoğlu. (2010). EXTRACTION OF INTERESTING PATTERNS THROUGH ASSOCIATION RULE MINING FOR IMPROVEMENT OF WEBSITE USABILITY. DergiPark (Istanbul University).5 indexed citations
Daş, Resul, İbrahim Türkoğlu, & Mustafa Poyraz. (2007). ANALYZING OF SYSTEM ERRORS FOR INCREASING A WEB SERVER PERFORMANCE BY USING WEB USAGE MINING. DergiPark (Istanbul University).7 indexed citations
17.
Hanbay, Davut, İbrahim Türkoğlu, & Yakup Demir. (2007). Chua devresinin yapay sinir ağı ile modellenmesi. 19(1). 67–72.1 indexed citations
18.
Avcı, Engin, İbrahim Türkoğlu, & Mustafa Poyraz. (2006). THE PERFORMANCE ANALYSIS OF STFT-ANFIS CLASSIFICATION METHOD ON PULSED RADAR TARGET CATEGORIZATION. DergiPark (Istanbul University). 6(1). 97–105.1 indexed citations
Avcı, Engin & İbrahim Türkoğlu. (2005). AN INTELLIGENT TARGET RECOGNITION SYSTEM BASED ON PERIODOGRAM FOR PULSED RADAR SYSTEMS. Gazi Üniversitesi Fen Bilimleri Dergisi Part C Tasarım ve Teknoloji. 18(2). 259–272.2 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.