Derya Yakar

4.2k total citations · 1 hit paper
111 papers, 2.6k citations indexed

About

Derya Yakar is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Derya Yakar has authored 111 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Radiology, Nuclear Medicine and Imaging, 51 papers in Pulmonary and Respiratory Medicine and 16 papers in Biomedical Engineering. Recurrent topics in Derya Yakar's work include Prostate Cancer Diagnosis and Treatment (35 papers), Radiomics and Machine Learning in Medical Imaging (33 papers) and Radiology practices and education (27 papers). Derya Yakar is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (35 papers), Radiomics and Machine Learning in Medical Imaging (33 papers) and Radiology practices and education (27 papers). Derya Yakar collaborates with scholars based in Netherlands, United States and Norway. Derya Yakar's co-authors include Thomas C. Kwee, Jurgen J. Fütterer, Jelle O. Barentsz, Henkjan Huisman, Thomas Hambrock, Caroline Hoeks, J. Alfred Witjes, Yfke Ongena, Marieke Haan and Inge M. van Oort and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Radiology.

In The Last Decade

Derya Yakar

101 papers receiving 2.6k citations

Hit Papers

align trajectories

What are hit papers?

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.

Prostate Cancer: Multiparametric MR Imaging for Detection, Localization, and Staging

2011 542 citations Caroline Hoeks, Jelle O. Barentsz et al. profile →

Peers

Countries citing papers authored by Derya Yakar

Since Specialization

Citations

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

Fields of papers citing papers by Derya Yakar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Derya Yakar

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Deep learning reconstruction for prostate MRI: Impact of field-of-view selection on global and regional image quality 2025 ·(unknown), (unknown), (unknown), (unknown), Frank F.J. Simonis, Thomas C. Kwee, Derya Yakar, Henkjan Huisman	1
2	Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study 2025 ·Radiology Artificial Intelligence ·(unknown), Fadila Zerka, (unknown), (unknown), (unknown), Derya Yakar, (unknown), Henkjan Huisman, Tone F. Bathen, Mattijs Elschot	1
3	The scientific evidence of commercial AI products for MRI acceleration: a systematic review 2025 ·European Radiology ·(unknown), (unknown), Frank F.J. Simonis, Derya Yakar, Thomas C. Kwee	3
4	A framework to integrate artificial intelligence training into radiology residency programs: preparing the future radiologist 2024 ·Insights into Imaging ·(unknown), Can Ozan Tan, (unknown), Peter M. A. van Ooijen, Walter Noordzij, (unknown), Thomas C. Kwee, Rozemarijn Vliegenthart, Derya Yakar	17
5	Prostate MRI and artificial intelligence during active surveillance: should we jump on the bandwagon? 2024 ·European Radiology ·(unknown), (unknown), Inge M. van Oort, Derya Yakar, Henkjan Huisman, Maarten de Rooij	5
6	Retrospective Radiology Research: Do We Need Informed Patient Consent? 2024 ·Journal of Bioethical Inquiry ·Yfke Ongena, Thomas C. Kwee, Derya Yakar, Marieke Haan	1
7	Patient perspectives on the use of artificial intelligence in prostate cancer diagnosis on MRI 2024 ·European Radiology ·(unknown), Thomas C. Kwee, (unknown), (unknown), (unknown), Frank F.J. Simonis, Pim J. van Leeuwen, Stijn W. T. P. J. Heijmink, Yfke Ongena, Michiel W. de Haan, Derya Yakar	8
8	Federated learning for prostate cancer detection in biparametric MRI: optimization of rounds, epochs, and aggregation strategy 2024 ·University of Groningen research database (University of Groningen / Centre for Information Technology) ·(unknown), Fadila Zerka, (unknown), Derya Yakar, (unknown), Henkjan Huisman, Tone F. Bathen, Mattijs Elschot	1
9	The Value of Deep Learning in Gallbladder Lesion Characterization 2023 ·Diagnostics ·(unknown), Derya Yakar, Jules J.G. Slangen, Frederik J.H. Hoogwater, Thomas C. Kwee, Robbert J. de Haas	9
10	Complexities of deep learning-based undersampled MR image reconstruction 2023 ·European Radiology Experimental ·(unknown), Derya Yakar, (unknown), (unknown), Henkjan Huisman	6
11	Prostate MRI for Improving Personalized Risk Prediction of Incontinence and Surgical Planning: The Role of Membranous Urethral Length Measurements and the Use of 3D Models 2023 ·Life ·Thierry N. Boellaard, (unknown), (unknown), Derya Yakar, Laura S. Mertens, Stijn W. T. P. J. Heijmink, Henk G. van der Poel, Pim J. van Leeuwen, Ivo G. Schoots, (unknown)	3
12	Combining Hepatic and Splenic CT Radiomic Features Improves Radiomic Analysis Performance for Liver Fibrosis Staging 2022 ·Diagnostics ·(unknown), Derya Yakar, Rudi Dierckx, Kim Mouridsen, Thomas C. Kwee, Robbert J. de Haas	16
13	Incidental imaging findings referred to a specialized sarcoma center: Frequency, determinants, and downstream healthcare costs 2022 ·Clinical Imaging ·(unknown), Derya Yakar, Paul C. Jutte, Thomas C. Kwee	1
14	Did medical doctors who order abdominal CT scans during on-call hours truly become worse at clinical reasoning? Yes, they did 2022 ·European Radiology ·(unknown), Derya Yakar, (unknown), Thomas C. Kwee	5
15	Single-center versus multi-center biparametric MRI radiomics approach for clinically significant peripheral zone prostate cancer 2021 ·Insights into Imaging ·(unknown), Derya Yakar, (unknown), (unknown), Igle J. de Jong, Rudi Dierckx, Thomas C. Kwee, Henkjan Huisman	21
16	MRI after Whoops procedure: diagnostic value for residual sarcoma and predictive value for an incomplete second resection 2021 ·Skeletal Radiology ·(unknown), (unknown), Lukas B. Been, Albert J.H. Suurmeijer, Derya Yakar, Thomas C. Kwee	7
17	Machine learning in the differentiation of follicular lymphoma from diffuse large B-cell lymphoma with radiomic [18F]FDG PET/CT features 2021 ·European Journal of Nuclear Medicine and Molecular Imaging ·(unknown), (unknown), (unknown), (unknown), Robbert J. de Haas, Derya Yakar, Andor W.J.M. Glaudemans, Walter Noordzij, Thomas C. Kwee, Marcel Nijland	27
18	Which patients are prone to undergo disproportionate recurrent CT imaging and should we worry? 2020 ·European Journal of Radiology ·Thomas C. Kwee, Hildebrand Dijkstra, (unknown), Elisabeth G.E. de Vries, Derya Yakar	15
19	Patients’ views on the implementation of artificial intelligence in radiology: development and validation of a standardized questionnaire 2019 ·European Radiology ·Yfke Ongena, Marieke Haan, Derya Yakar, Thomas C. Kwee	112
20	Feasibility of 3T Dynamic Contrast-Enhanced Magnetic Resonance-Guided Biopsy in Localizing Local Recurrence of Prostate Cancer After External Beam Radiation Therapy 2010 ·Investigative Radiology ·Derya Yakar, Thomas Hambrock, Henkjan Huisman, Christina A. Hulsbergen‐van de Kaa, (unknown), H. Vergunst, Caroline Hoeks, Inge M. van Oort, J. Alfred Witjes, Jelle O. Barentsz, Jurgen J. Fütterer	50

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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