Ece Ateş Kuş

936 total citations
15 papers, 731 citations indexed

About

Ece Ateş Kuş is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Ece Ateş Kuş has authored 15 papers receiving a total of 731 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Pulmonary and Respiratory Medicine and 5 papers in Biomedical Engineering. Recurrent topics in Ece Ateş Kuş's work include Radiomics and Machine Learning in Medical Imaging (13 papers), Renal cell carcinoma treatment (7 papers) and Advanced X-ray and CT Imaging (5 papers). Ece Ateş Kuş is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (13 papers), Renal cell carcinoma treatment (7 papers) and Advanced X-ray and CT Imaging (5 papers). Ece Ateş Kuş collaborates with scholars based in Türkiye, Antigua and Barbuda and Germany. Ece Ateş Kuş's co-authors include Burak Koçak, Emine Şebnem Durmaz, Özgür Kılıçkesmez, Çağrı Erdim, Burak Koçak, Aytül Hande Yardımcı, Ceyda Turan Bektaş, Tugba Akinci D’Antonoli and İ̇smail Taş and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Roentgenology and European Radiology.

In The Last Decade

Ece Ateş Kuş

15 papers receiving 720 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ece Ateş Kuş Türkiye 11 635 320 186 116 99 15 731
Emine Şebnem Durmaz Türkiye 15 672 1.1× 349 1.1× 182 1.0× 114 1.0× 94 0.9× 26 915
Cristiana Fanciullo Italy 6 726 1.1× 251 0.8× 244 1.3× 140 1.2× 131 1.3× 10 867
Sarah A. Mattonen Canada 13 796 1.3× 457 1.4× 214 1.2× 171 1.5× 138 1.4× 36 963
Shufang Pei China 12 833 1.3× 212 0.7× 137 0.7× 229 2.0× 134 1.4× 23 1.0k
Fusheng Ouyang China 13 836 1.3× 281 0.9× 171 0.9× 125 1.1× 186 1.9× 30 1.1k
Mostafa Nazari Iran 11 498 0.8× 227 0.7× 188 1.0× 103 0.9× 52 0.5× 18 562
Qingtao Qiu China 16 495 0.8× 273 0.9× 118 0.6× 59 0.5× 134 1.4× 51 614
Gretchen Hermann United States 6 551 0.9× 371 1.2× 204 1.1× 105 0.9× 143 1.4× 10 696
Simon Keek Netherlands 8 390 0.6× 138 0.4× 115 0.6× 102 0.9× 70 0.7× 12 497

Countries citing papers authored by Ece Ateş Kuş

Since Specialization
Citations

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

Fields of papers citing papers by Ece Ateş Kuş

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ece Ateş Kuş. 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 Ece Ateş Kuş. The network helps show where Ece Ateş Kuş may publish in the future.

Co-authorship network of co-authors of Ece Ateş Kuş

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

All Works

15 of 15 papers shown
1.
2.
Koçak, Burak, et al.. (2024). Self-reported checklists and quality scoring tools in radiomics: a meta-research. European Radiology. 34(8). 5028–5040. 14 indexed citations
3.
Taş, İ̇smail, et al.. (2022). USE OF ACTIVE MICROORGANISM IN IMPROVING POND WATER QUALITY: CASE STUDY OF BEYTEPE POND. CURRENT TRENDS IN NATURAL SCIENCES. 11(21). 399–407. 2 indexed citations
4.
Koçak, Burak, et al.. (2021). Machine Learning-Based Computed Tomography Texture Analysis of Lytic Bone Lesions Needing Biopsy: A Preliminary Study. SHILAP Revista de lepidopterología. 22(3). 223–231. 2 indexed citations
5.
Koçak, Burak, Ece Ateş Kuş, & Özgür Kılıçkesmez. (2020). How to read and review papers on machine learning and artificial intelligence in radiology: a survival guide to key methodological concepts. European Radiology. 31(4). 1819–1830. 40 indexed citations
6.
Koçak, Burak, Ece Ateş Kuş, Aytül Hande Yardımcı, Ceyda Turan Bektaş, & Özgür Kılıçkesmez. (2020). Machine Learning in Radiomic Renal Mass Characterization: Fundamentals, Applications, Challenges, and Future Directions. American Journal of Roentgenology. 215(4). 920–928. 16 indexed citations
7.
8.
Koçak, Burak, et al.. (2019). Radiogenomics of lower-grade gliomas: machine learning–based MRI texture analysis for predicting 1p/19q codeletion status. European Radiology. 30(2). 877–886. 50 indexed citations
9.
10.
Koçak, Burak, Emine Şebnem Durmaz, Ece Ateş Kuş, & Özgür Kılıçkesmez. (2019). Radiomics with artificial intelligence: a practical guide for beginners. Diagnostic and Interventional Radiology. 25(6). 485–495. 255 indexed citations
11.
Koçak, Burak, et al.. (2019). Unenhanced CT Texture Analysis of Clear Cell Renal Cell Carcinomas: A Machine Learning–Based Study for Predicting Histopathologic Nuclear Grade. American Journal of Roentgenology. 212(6). W132–W139. 69 indexed citations
12.
Koçak, Burak, et al.. (2019). Radiogenomics in Clear Cell Renal Cell Carcinoma: Machine Learning–Based High-Dimensional Quantitative CT Texture Analysis in Predicting PBRM1 Mutation Status. American Journal of Roentgenology. 212(3). W55–W63. 91 indexed citations
13.
Koçak, Burak, et al.. (2019). Radiomics of Renal Masses: Systematic Review of Reproducibility and Validation Strategies. American Journal of Roentgenology. 214(1). 129–136. 39 indexed citations
14.
15.
Kuş, Ece Ateş, et al.. (2016). Ready-to-Eat Breakfast Cereal Consumption Habits of University Students in Manisa Province of Turkey. Journal of food and nutrition research. 4(4). 237–242. 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.

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