Aysen Degerli

537 total citations
12 papers, 237 citations indexed

About

Aysen Degerli is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Artificial Intelligence. According to data from OpenAlex, Aysen Degerli has authored 12 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Cardiology and Cardiovascular Medicine and 3 papers in Artificial Intelligence. Recurrent topics in Aysen Degerli's work include Cardiac Imaging and Diagnostics (4 papers), COVID-19 diagnosis using AI (4 papers) and Cardiovascular Function and Risk Factors (3 papers). Aysen Degerli is often cited by papers focused on Cardiac Imaging and Diagnostics (4 papers), COVID-19 diagnosis using AI (4 papers) and Cardiovascular Function and Risk Factors (3 papers). Aysen Degerli collaborates with scholars based in Finland, Qatar and Denmark. Aysen Degerli's co-authors include Moncef Gabbouj, Serkan Kıranyaz, Muhammad E. H. Chowdhury, Mehmet Yamaç, Mete Ahishali, Rashid Mazhar, Tahir Hamid, Morteza Zabihi, Ridha Hamila and Alexandros Iosifidis and has published in prestigious journals such as IEEE Access, Pattern Recognition and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Aysen Degerli

11 papers receiving 230 citations

Peers

Aysen Degerli

RNMI

CVPR

CCM

PRM

Parisa Gifani Iran

Benjamin Hou United Kingdom

Marija Habijan Croatia

Florin C. Ghesu United States

Zhenrong Shen China

Florin‐Cristian Ghesu United States

Jinyu Cong China

Lisa M. Koch United Kingdom

Vijaya Kumar Koppula India

Loïc Le Folgoc United Kingdom

Parisa Gifani Iran

Aysen Degerli

186 ×1.1

RNMI

90 ×1.1

65 ×1.3

CVPR

66 ×1.3

CCM

37 ×1.2

PRM

Citations per year, relative to Aysen Degerli Aysen Degerli (= 1×) peers Parisa Gifani

Countries citing papers authored by Aysen Degerli

Since Specialization

Citations

This map shows the geographic impact of Aysen Degerli'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 Aysen Degerli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aysen Degerli more than expected).

Fields of papers citing papers by Aysen Degerli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aysen Degerli. 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 Aysen Degerli. The network helps show where Aysen Degerli may publish in the future.

Co-authorship network of co-authors of Aysen Degerli

This figure shows the co-authorship network connecting the top 25 collaborators of Aysen Degerli. A scholar is included among the top collaborators of Aysen Degerli 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 Aysen Degerli. Aysen Degerli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

Degerli, Aysen, Pekka Jäkälä, Juha Pajula, Milla Immonen, & Miguel Bordallo López. (2024). MAMAF-Net: Motion-aware and multi-attention fusion network for stroke diagnosis. Biomedical Signal Processing and Control. 95. 106381–106381. 1 indexed citations

Ahishali, Mete, Aysen Degerli, Serkan Kıranyaz, et al.. (2024). R2C-GAN: Restore-to-Classify Generative Adversarial Networks for blind X-ray restoration and COVID-19 classification. Pattern Recognition. 156. 110765–110765. 3 indexed citations

Pahikkala, Tapio, Ileana Montoya Perez, Parisa Movahedi, et al.. (2024). Finnish perspective on using synthetic health data to protect privacy: the PRIVASA project. 4(2). 138–163.

Ahishali, Mete, et al.. (2023). SAF-Net: Self-Attention Fusion Network for Myocardial Infarction Detection Using Multi-View Echocardiography. Computing in cardiology. 50. 3 indexed citations

Degerli, Aysen, Serkan Kıranyaz, Tahir Hamid, Rashid Mazhar, & Moncef Gabbouj. (2023). Early myocardial infarction detection over multi-view echocardiography. Biomedical Signal Processing and Control. 87. 105448–105448. 14 indexed citations

Kıranyaz, Serkan, Aysen Degerli, Tahir Hamid, et al.. (2022). Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection. Qatar University QSpace (Qatar University). 25 indexed citations

Yamaç, Mehmet, Mete Ahishali, Aysen Degerli, et al.. (2022). Convolutional Sparse Support Estimator-Based COVID-19 Recognition from X-Ray Images. PubMed Central. 68 indexed citations

Degerli, Aysen, et al.. (2022). Early Myocardial Infarction Detection with One-Class Classification over Multi-view Echocardiography. Computing in cardiology. 6 indexed citations

Degerli, Aysen, Serkan Kıranyaz, Muhammad E. H. Chowdhury, & Moncef Gabbouj. (2022). Osegnet: Operational Segmentation Network for Covid-19 Detection Using Chest X-Ray Images. 2022 IEEE International Conference on Image Processing (ICIP). 2306–2310. 25 indexed citations

10.

Ahishali, Mete, Aysen Degerli, Mehmet Yamaç, et al.. (2021). Advance Warning Methodologies for COVID-19 Using Chest X-Ray Images. IEEE Access. 9. 41052–41065. 34 indexed citations

11.

Degerli, Aysen, Morteza Zabihi, Serkan Kıranyaz, et al.. (2021). Early Detection of Myocardial Infarction in Low-Quality Echocardiography. IEEE Access. 9. 34442–34453. 42 indexed citations

12.

Tran, Dat Thanh, Mehmet Yamaç, Aysen Degerli, Moncef Gabbouj, & Alexandros Iosifidis. (2020). Multilinear Compressive Learning. IEEE Transactions on Neural Networks and Learning Systems. 32(4). 1512–1524. 16 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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