Birgit Ertl‐Wagner

892 total citations
32 papers, 349 citations indexed

About

Birgit Ertl‐Wagner is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Neurology. According to data from OpenAlex, Birgit Ertl‐Wagner has authored 32 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Genetics and 6 papers in Neurology. Recurrent topics in Birgit Ertl‐Wagner's work include Glioma Diagnosis and Treatment (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Hearing, Cochlea, Tinnitus, Genetics (4 papers). Birgit Ertl‐Wagner is often cited by papers focused on Glioma Diagnosis and Treatment (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Hearing, Cochlea, Tinnitus, Genetics (4 papers). Birgit Ertl‐Wagner collaborates with scholars based in Canada, Germany and United Kingdom. Birgit Ertl‐Wagner's co-authors include Matthias Wagner, Farzad Khalvati, Asthik Biswas, Khashayar Namdar, Dafna Sussman, Uri Tabori, Anne Hilgendorff, Min Sheng, Wolfgang A. Wall and Michael N. Patlas and has published in prestigious journals such as Stroke, Scientific Reports and Radiology.

In The Last Decade

Birgit Ertl‐Wagner

31 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Birgit Ertl‐Wagner Canada 9 152 108 64 47 42 32 349
Manudeep Kalra United States 11 208 1.4× 45 0.4× 87 1.4× 25 0.5× 96 2.3× 14 380
Nariman Noorbakhsh-Sabet United States 7 75 0.5× 141 1.3× 80 1.3× 71 1.5× 25 0.6× 8 388
Takahiro Nakao Japan 10 219 1.4× 76 0.7× 107 1.7× 40 0.9× 44 1.0× 34 460
Gino Mongelluzzo United States 6 124 0.8× 78 0.7× 85 1.3× 116 2.5× 59 1.4× 15 358
Alexander Bilbily Canada 6 313 2.1× 127 1.2× 96 1.5× 31 0.7× 104 2.5× 14 527
Diana V. Vera-Garcia United States 7 106 0.7× 97 0.9× 57 0.9× 11 0.2× 61 1.5× 12 252
Yongsik Sim South Korea 8 181 1.2× 49 0.5× 79 1.2× 25 0.5× 32 0.8× 18 274
Comeron W. Ghobadi United States 8 227 1.5× 78 0.7× 85 1.3× 17 0.4× 98 2.3× 14 516
Daniel Ferraz Brazil 11 450 3.0× 40 0.4× 53 0.8× 32 0.7× 29 0.7× 38 647
Daniel Ranti United States 10 54 0.4× 22 0.2× 44 0.7× 39 0.8× 66 1.6× 29 374

Countries citing papers authored by Birgit Ertl‐Wagner

Since Specialization
Citations

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

Fields of papers citing papers by Birgit Ertl‐Wagner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Birgit Ertl‐Wagner. 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 Birgit Ertl‐Wagner. The network helps show where Birgit Ertl‐Wagner may publish in the future.

Co-authorship network of co-authors of Birgit Ertl‐Wagner

This figure shows the co-authorship network connecting the top 25 collaborators of Birgit Ertl‐Wagner. A scholar is included among the top collaborators of Birgit Ertl‐Wagner 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 Birgit Ertl‐Wagner. Birgit Ertl‐Wagner 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.
Wagner, Matthias, et al.. (2025). Multimodal contrastive learning for enhanced explainability in pediatric brain tumor molecular diagnosis. Scientific Reports. 15(1). 10943–10943. 1 indexed citations
2.
Gong, Bo, Farzad Khalvati, Birgit Ertl‐Wagner, & Michael N. Patlas. (2024). Artificial intelligence in emergency neuroradiology: Current applications and perspectives. Diagnostic and Interventional Imaging. 106(4). 135–142. 5 indexed citations
3.
Hanneman, Kate, Anish Kirpalani, Birgit Ertl‐Wagner, et al.. (2024). Increased Emergency Department Medical Imaging: Association with Short-Term Exposures to Ambient Heat and Particulate Air Pollution. Radiology. 313(2). e241624–e241624. 11 indexed citations
4.
Kirsch, V., Rainer Boegle, Birgit Ertl‐Wagner, et al.. (2024). Imaging endolymphatic space of the inner ear in vestibular migraine. Journal of Neurology Neurosurgery & Psychiatry. 96(5). 415–423. 7 indexed citations
5.
Namdar, Khashayar, Matthias Wagner, Cynthia Hawkins, et al.. (2024). Improving Deep Learning Models for Pediatric Low-Grade Glioma Tumours Molecular Subtype Identification Using MRI-based 3D Probability Distributions of Tumour Location. Canadian Association of Radiologists Journal. 76(2). 313–323. 4 indexed citations
6.
Wagner, Matthias, Pejman Maralani, Liana Nobre, et al.. (2024). Brain Tumor Imaging in Adolescents and Young Adults: 2021 WHO Updates for Molecular-based Tumor Types. Radiology. 310(2). e230777–e230777. 9 indexed citations
7.
To, Teresa, Gabrielle deVeber, Daniel Nichol, et al.. (2024). Health Inequity and Time From Pediatric Stroke Onset to Arrival. Stroke. 55(5). 1299–1307. 1 indexed citations
8.
Wagner, Matthias, et al.. (2023). Fet-Net Algorithm for Automatic Detection of Fetal Orientation in Fetal MRI. Bioengineering. 10(2). 140–140. 1 indexed citations
9.
Ertl‐Wagner, Birgit, et al.. (2023). AFNet Algorithm for Automatic Amniotic Fluid Segmentation from Fetal MRI. Bioengineering. 10(7). 783–783. 1 indexed citations
10.
Kindt, Alida, Kai Förster, E. González González, et al.. (2023). MRI pulmonary artery flow detects lung vascular pathology in preterms with lung disease. European Respiratory Journal. 62(6). 2202445–2202445. 6 indexed citations
11.
Wagner, Matthias & Birgit Ertl‐Wagner. (2023). Accuracy of Information and References Using ChatGPT-3 for Retrieval of Clinical Radiological Information. Canadian Association of Radiologists Journal. 75(1). 69–73. 89 indexed citations
12.
Biswas, Asthik, et al.. (2023). Cochlear Implantation: Systematic Approach to Preoperative Radiologic Evaluation. Radiographics. 43(4). e220102–e220102. 5 indexed citations
13.
Maurus, Isabel, Daniel Keeser, Irina Papazova, et al.. (2022). Fitness is positively associated with hippocampal formation subfield volumes in schizophrenia: a multiparametric magnetic resonance imaging study. Translational Psychiatry. 12(1). 388–388. 8 indexed citations
14.
Wagner, Matthias, Asthik Biswas, Farzad Khalvati, et al.. (2022). Data governance functions to support responsible data stewardship in pediatric radiology research studies using artificial intelligence. Pediatric Radiology. 52(11). 2111–2119. 7 indexed citations
15.
Wagner, Matthias, et al.. (2022). Volumetric Analysis of Hearing-Related Structures of Brain in Children with GJB2-Related Congenital Deafness. Children. 9(6). 800–800. 1 indexed citations
16.
Mittermeier, Andreas, Paul Reidler, Matthias P. Fabritius, et al.. (2022). End-to-End Deep Learning Approach for Perfusion Data: A Proof-of-Concept Study to Classify Core Volume in Stroke CT. Diagnostics. 12(5). 1142–1142. 5 indexed citations
17.
Wagner, Matthias, et al.. (2022). Motion artifact correction in fetal MRI based on a Generative Adversarial network method. Biomedical Signal Processing and Control. 81. 104484–104484. 10 indexed citations
18.
Beller, Ebba, Roberto Lorbeer, Daniel Keeser, et al.. (2021). Significant Impact of Coffee Consumption on MR-Based Measures of Cardiac Function in a Population-Based Cohort Study without Manifest Cardiovascular Disease. Nutrients. 13(4). 1275–1275. 3 indexed citations
19.
Lorbeer, Roberto, Felix J. Hartmann, Susanne Rospleszcz, et al.. (2021). White matter hyperintensity volume in pre-diabetes, diabetes and normoglycemia. BMJ Open Diabetes Research & Care. 9(1). e002050–e002050. 19 indexed citations
20.
Wagner, Matthias, et al.. (2021). Radiomics, machine learning, and artificial intelligence—what the neuroradiologist needs to know. Neuroradiology. 63(12). 1957–1967. 104 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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