Mert Karabacak

1.1k total citations
74 papers, 445 citations indexed

About

Mert Karabacak is a scholar working on Epidemiology, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mert Karabacak has authored 74 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Epidemiology, 18 papers in Biomedical Engineering and 17 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mert Karabacak's work include Radiomics and Machine Learning in Medical Imaging (16 papers), Glioma Diagnosis and Treatment (15 papers) and Medical Imaging and Analysis (15 papers). Mert Karabacak is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (16 papers), Glioma Diagnosis and Treatment (15 papers) and Medical Imaging and Analysis (15 papers). Mert Karabacak collaborates with scholars based in United States, Türkiye and United Kingdom. Mert Karabacak's co-authors include Konstantinos Margetis, Burak Berksu Ozkara, Max Wintermark, Sotirios Bisdas, Serhat Aydın, Vivek Yedavalli, Isabelle M. Germano, Melissa Chen, Alexander J. Schüpper and Abhiraj D. Bhimani and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Mert Karabacak

61 papers receiving 439 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mert Karabacak United States 10 156 126 64 63 63 74 445
Konstantinos Margetis United States 13 152 1.0× 85 0.7× 62 1.0× 57 0.9× 145 2.3× 113 685
Rohaid Ali United States 12 371 2.4× 210 1.7× 49 0.8× 121 1.9× 100 1.6× 34 727
Birgit Ertl‐Wagner Canada 9 108 0.7× 152 1.2× 42 0.7× 64 1.0× 22 0.3× 32 349
Behrus Puladi Germany 11 154 1.0× 92 0.7× 57 0.9× 99 1.6× 86 1.4× 53 544
Lisa Schneider United States 16 75 0.5× 74 0.6× 51 0.8× 61 1.0× 130 2.1× 44 711
Abhishta Bhandari Australia 12 38 0.2× 158 1.3× 54 0.8× 33 0.5× 22 0.3× 13 449
Hannah Weiss United States 10 42 0.3× 81 0.6× 57 0.9× 60 1.0× 151 2.4× 29 403
Hirotaka Takita Japan 14 259 1.7× 252 2.0× 35 0.5× 121 1.9× 46 0.7× 33 480
Ricardo A. Torres‐Guzman United States 14 45 0.3× 42 0.3× 68 1.1× 27 0.4× 248 3.9× 100 629
K. Elizabeth Hawk United States 10 139 0.9× 329 2.6× 101 1.6× 107 1.7× 42 0.7× 18 569

Countries citing papers authored by Mert Karabacak

Since Specialization
Citations

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

Fields of papers citing papers by Mert Karabacak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mert Karabacak

This figure shows the co-authorship network connecting the top 25 collaborators of Mert Karabacak. A scholar is included among the top collaborators of Mert Karabacak 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 Mert Karabacak. Mert Karabacak 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.
Aydın, Serhat, et al.. (2025). Navigating the potential and pitfalls of large language models in patient-centered medication guidance and self-decision support. Frontiers in Medicine. 12. 1527864–1527864. 3 indexed citations
2.
Karabacak, Mert, Sibel Zehra Aydın, Andrea Soddu, et al.. (2025). Diffusion Tensor Imaging in Acute, Chronic, and Remote Mild Traumatic Brain Injury: A Systematic Review of Cross-Sectional and Longitudinal Studies. Journal of Neurotrauma. 42(19-20). 1671–1694.
3.
4.
Seah, Carina, Mert Karabacak, & Konstantinos Margetis. (2024). Transcriptomic imputation identifies tissue-specific genes associated with cervical myelopathy. The Spine Journal. 25(3). 588–596.
5.
Ozkara, Burak Berksu, et al.. (2024). Artificial intelligence/machine learning for neuroimaging to predict hemorrhagic transformation: Systematic review/meta‐analysis. Journal of Neuroimaging. 34(5). 505–514. 1 indexed citations
6.
Karabacak, Mert, Burak Berksu Ozkara, Trevor Hardigan, et al.. (2024). Data-Driven Prognostication in Distal Medium Vessel Occlusions Using Explainable Machine Learning. American Journal of Neuroradiology. 46(4). 725–732. 5 indexed citations
7.
Karabacak, Mert, et al.. (2024). Factors associated with substance use among preclinical medical students in Turkey: a cross-sectional study. SHILAP Revista de lepidopterología. 15(3). 37–44. 2 indexed citations
8.
9.
Durmaz, Emine Şebnem, et al.. (2024). Machine learning and radiomics for ventricular tachyarrhythmia prediction in hypertrophic cardiomyopathy: insights from an MRI-based analysis. Acta Radiologica. 65(12). 1473–1481. 3 indexed citations
10.
Ozkara, Burak Berksu, Mert Karabacak, Konstantinos Margetis, et al.. (2023). Assessment of Computed Tomography Perfusion Research Landscape: A Topic Modeling Study. Tomography. 9(6). 2016–2028. 1 indexed citations
11.
Karabacak, Mert & Konstantinos Margetis. (2023). Machine Learning-Based Prediction of Short-Term Adverse Postoperative Outcomes in Cervical Disc Arthroplasty Patients. World Neurosurgery. 177. e226–e238. 3 indexed citations
12.
13.
Karabacak, Mert & Konstantinos Margetis. (2023). Prognosis at Your Fingertips: A Machine Learning-Based Web Application for Outcome Prediction in Acute Traumatic Epidural Hematoma. Journal of Neurotrauma. 41(1-2). 147–160. 3 indexed citations
14.
Karabacak, Mert & Konstantinos Margetis. (2023). Machine Learning and Statistics in Clinical Research—Bridging the Gap. JAMA Pediatrics. 177(10). 1111–1111. 1 indexed citations
15.
Karabacak, Mert, et al.. (2023). Cervical laminoplasty versus laminectomy and fusion: An umbrella review of postoperative outcomes. Neurosurgical Review. 47(1). 5–5. 3 indexed citations
16.
Ozkara, Burak Berksu, et al.. (2023). Prediction of Poor Outcome after Successful Thrombectomy in Patients with Severe Acute Ischemic Stroke: A Pilot Retrospective Study. Neurology International. 15(1). 225–237. 3 indexed citations
17.
Durmaz, Emine Şebnem, et al.. (2023). Radiomics-based machine learning models in STEMI: a promising tool for the prediction of major adverse cardiac events. European Radiology. 33(7). 4611–4620. 15 indexed citations
18.
19.
Ozkara, Burak Berksu, et al.. (2022). Student-Run Online Journal Club Initiative During a Time of Crisis: Survey Study. JMIR Medical Education. 8(1). e33612–e33612. 10 indexed citations
20.
Karabacak, Mert, et al.. (2022). What you need to know about: arterial cerebrovascular syndromes caused by static or dynamic musculoskeletal compression. British Journal of Hospital Medicine. 83(3). 1–9. 1 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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