Victor Schmidbauer

546 total citations
36 papers, 321 citations indexed

About

Victor Schmidbauer is a scholar working on Pediatrics, Perinatology and Child Health, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Victor Schmidbauer has authored 36 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pediatrics, Perinatology and Child Health, 14 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Victor Schmidbauer's work include Neonatal and fetal brain pathology (14 papers), Neonatal Respiratory Health Research (7 papers) and Fetal and Pediatric Neurological Disorders (7 papers). Victor Schmidbauer is often cited by papers focused on Neonatal and fetal brain pathology (14 papers), Neonatal Respiratory Health Research (7 papers) and Fetal and Pediatric Neurological Disorders (7 papers). Victor Schmidbauer collaborates with scholars based in Austria, United States and Portugal. Victor Schmidbauer's co-authors include Gregor Kasprian, Daniela Prayer, Katharina Goeral, Katrin Klebermass‐Schrehof, Angelika Berger, Matthias Preusser, Marcus Hacker, Nina Pötsch, László Papp and Wolfgang Wadsak and has published in prestigious journals such as PLoS ONE, NeuroImage and Cerebral Cortex.

In The Last Decade

Victor Schmidbauer

34 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Victor Schmidbauer Austria 11 151 115 67 39 37 36 321
Charbel Habib United States 8 249 1.6× 37 0.3× 28 0.4× 50 1.3× 24 0.6× 11 434
Qihao Zhang United States 13 154 1.0× 22 0.2× 45 0.7× 40 1.0× 11 0.3× 35 374
André Ahlgren Sweden 12 276 1.8× 52 0.5× 16 0.2× 29 0.7× 15 0.4× 24 440
Thomas Noh United States 9 82 0.5× 26 0.2× 55 0.8× 41 1.1× 60 1.6× 20 265
Franziska Galiè Germany 9 106 0.7× 17 0.1× 50 0.7× 19 0.5× 30 0.8× 12 254
Benjamin Y. M. Kwan Canada 13 175 1.2× 21 0.2× 25 0.4× 61 1.6× 10 0.3× 47 460
Yashwanth Katkuri United States 7 212 1.4× 183 1.6× 32 0.5× 38 1.0× 8 0.2× 8 453
Jonathan M. Chia United States 10 160 1.1× 43 0.4× 15 0.2× 62 1.6× 26 0.7× 16 422
Georgia Keramida United Kingdom 11 222 1.5× 23 0.2× 56 0.8× 132 3.4× 6 0.2× 33 433
Anne Kinnala Finland 8 84 0.6× 117 1.0× 44 0.7× 33 0.8× 30 0.8× 10 311

Countries citing papers authored by Victor Schmidbauer

Since Specialization
Citations

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

Fields of papers citing papers by Victor Schmidbauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victor Schmidbauer

This figure shows the co-authorship network connecting the top 25 collaborators of Victor Schmidbauer. A scholar is included among the top collaborators of Victor Schmidbauer 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 Victor Schmidbauer. Victor Schmidbauer 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.
2.
Schmidbauer, Victor, Katharina Goeral, Michael Weber, et al.. (2024). Quantitative Magnetic Resonance Imaging for Neurodevelopmental Outcome Prediction in Neonates Born Extremely Premature—An Exploratory Study. Clinical Neuroradiology. 34(2). 421–429. 1 indexed citations
3.
Schmidbauer, Victor, Heimo Lagler, Stefan Stremitzer, et al.. (2023). Diaphragmatic perforation as a result of cystic echinococcosis in an HIV-positive migrant. Journal of Travel Medicine. 30(6).
4.
Marik, Wolfgang, Pedro Lima Cardoso, Elisabeth Springer, et al.. (2023). Evaluation of Gliomas with Magnetic Resonance Fingerprinting with PET Correlation—A Comparative Study. Cancers. 15(10). 2740–2740. 3 indexed citations
5.
Watzenboeck, Martin L., Benedikt H. Heidinger, Victor Schmidbauer, et al.. (2023). Reproducibility of 2D versus 3D radiomics for quantitative assessment of fetal lung development: a retrospective fetal MRI study. Insights into Imaging. 14(1). 31–31. 11 indexed citations
6.
Stuempflen, Marlene, Ernst Schwartz, M.C. Diogo, et al.. (2023). Fetal MRI based brain atlas analysis detects initial in utero effects of prenatal alcohol exposure. Cerebral Cortex. 33(11). 6852–6861. 4 indexed citations
7.
8.
Schmidbauer, Victor, Michael Weber, M.C. Diogo, et al.. (2022). Synthetic MR Imaging–Based WM Signal Suppression Identifies Neonatal Brainstem Pathways in Vivo. American Journal of Neuroradiology. 43(12). 1817–1823. 3 indexed citations
9.
Schmidbauer, Victor, Michael Weber, Christof Worda, et al.. (2022). Brainstem and cerebellar volumes at magnetic resonance imaging are smaller in fetuses with congenital heart disease. American Journal of Obstetrics and Gynecology. 227(2). 282.e1–282.e15. 8 indexed citations
10.
Schmidbauer, Victor, Karl‐Heinz Nenning, Susanne Pirker, et al.. (2022). Imaging visuospatial memory in temporal lobe epilepsy—Results of an fMRI study. PLoS ONE. 17(2). e0264349–e0264349. 3 indexed citations
11.
Chromy, David, David Bauer, Victor Schmidbauer, et al.. (2022). Prevalence and dynamics of NAFLD-associated fibrosis in people living with HIV in Vienna from first presentation to last follow-up. Wiener klinische Wochenschrift. 135(15-16). 420–428. 2 indexed citations
12.
Schmidbauer, Victor, Michael Weber, M.C. Diogo, et al.. (2021). Impact of Prematurity on the Tissue Properties of the Neonatal Brain Stem: A Quantitative MR Approach. American Journal of Neuroradiology. 42(3). 581–589. 5 indexed citations
13.
Binder, Christoph, Vito Giordano, Victor Schmidbauer, et al.. (2021). Association between Fat-Free Mass and Brain Size in Extremely Preterm Infants. Nutrients. 13(12). 4205–4205. 19 indexed citations
14.
Schmidbauer, Victor, Michael Weber, M.C. Diogo, et al.. (2021). Mapping Human Fetal Brain Maturation In Vivo Using Quantitative MRI. American Journal of Neuroradiology. 42(11). 2086–2093. 8 indexed citations
15.
Nenning, Karl‐Heinz, Victor Schmidbauer, Gudrun Wagner, et al.. (2021). White matter integrity is disrupted in adolescents with acute anorexia nervosa: A diffusion tensor imaging study. Psychiatry Research Neuroimaging. 320. 111427–111427. 5 indexed citations
16.
Nenning, Karl‐Heinz, L. Bartha, Christoph Baumgartner, et al.. (2020). Lesion-Specific Language Network Alterations in Temporal Lobe Epilepsy. American Journal of Neuroradiology. 41(1). 147–154. 6 indexed citations
17.
Schmidbauer, Victor, Peter Brügger, G.M. Gruber, et al.. (2020). Normal human brainstem development in vivo: a quantitative fetal MRI study. Ultrasound in Obstetrics and Gynecology. 58(2). 254–263. 13 indexed citations
18.
Schmidbauer, Victor, M.C. Diogo, Michael Weber, et al.. (2020). Validity of SyMRI for Assessment of the Neonatal Brain. Clinical Neuroradiology. 31(2). 315–323. 10 indexed citations
19.
Schmidbauer, Victor, M.C. Diogo, Michael Weber, et al.. (2019). SyMRI detects delayed myelination in preterm neonates. European Radiology. 29(12). 7063–7072. 27 indexed citations
20.
Papp, László, Nina Pötsch, Marko Grahovac, et al.. (2017). Glioma Survival Prediction with Combined Analysis of In Vivo 11C-MET PET Features, Ex Vivo Features, and Patient Features by Supervised Machine Learning. Journal of Nuclear Medicine. 59(6). 892–899. 82 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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