Michael Giretzlehner

1.0k total citations
30 papers, 558 citations indexed

About

Michael Giretzlehner is a scholar working on Epidemiology, Artificial Intelligence and Rehabilitation. According to data from OpenAlex, Michael Giretzlehner has authored 30 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 8 papers in Artificial Intelligence and 7 papers in Rehabilitation. Recurrent topics in Michael Giretzlehner's work include Burn Injury Management and Outcomes (10 papers), Wound Healing and Treatments (7 papers) and Pressure Ulcer Prevention and Management (5 papers). Michael Giretzlehner is often cited by papers focused on Burn Injury Management and Outcomes (10 papers), Wound Healing and Treatments (7 papers) and Pressure Ulcer Prevention and Management (5 papers). Michael Giretzlehner collaborates with scholars based in Austria, United States and Germany. Michael Giretzlehner's co-authors include Lars‐Peter Kamolz, David B. Lumenta, H. Haller, Harald Selig, Johannes Dirnberger, Dominic Upton, Marc G. Jeschke, Robert Owen, Daryousch Parvizi and Paul Wurzer and has published in prestigious journals such as PLoS ONE, Scientific Reports and Forensic Science International.

In The Last Decade

Michael Giretzlehner

27 papers receiving 545 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Giretzlehner Austria 14 278 246 127 109 77 30 558
Christian Smolle Austria 11 490 1.8× 346 1.4× 229 1.8× 68 0.6× 93 1.2× 30 783
Mohammadreza Mobayen Iran 13 317 1.1× 150 0.6× 119 0.9× 86 0.8× 84 1.1× 67 544
Baljit Dheansa United Kingdom 15 342 1.2× 272 1.1× 101 0.8× 47 0.4× 174 2.3× 64 693
Rytis Rimdeika Lithuania 15 224 0.8× 417 1.7× 60 0.5× 166 1.5× 284 3.7× 68 767
Abigail A. Forbes United States 6 431 1.6× 259 1.1× 219 1.7× 46 0.4× 93 1.2× 8 578
Harald Selig Austria 10 141 0.5× 203 0.8× 78 0.6× 41 0.4× 157 2.0× 20 526
Janos Cambiaso‐Daniel Austria 14 682 2.5× 398 1.6× 294 2.3× 88 0.8× 176 2.3× 40 1.0k
Peter A. Brigham United States 8 256 0.9× 181 0.7× 145 1.1× 29 0.3× 41 0.5× 8 398
Reza Vaghardoost Iran 12 154 0.6× 122 0.5× 57 0.4× 22 0.2× 48 0.6× 25 356
Jeffrey R. Saffle United States 10 355 1.3× 221 0.9× 159 1.3× 31 0.3× 50 0.6× 11 470

Countries citing papers authored by Michael Giretzlehner

Since Specialization
Citations

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

Fields of papers citing papers by Michael Giretzlehner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Giretzlehner

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Giretzlehner. A scholar is included among the top collaborators of Michael Giretzlehner 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 Michael Giretzlehner. Michael Giretzlehner 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.
Nagy, József, Zoltán Major, Harald Stefanits, et al.. (2025). Fluid structure Interaction analysis for rupture risk assessment in patients with middle cerebral artery aneurysms. Scientific Reports. 15(1). 1965–1965. 4 indexed citations
2.
Nagy, József, Zoltán Major, Harald Stefanits, et al.. (2025). Rupture risk assessment for AComA aneurysms with morphological, hemodynamic and structural mechanical analysis. PLoS ONE. 20(9). e0331297–e0331297.
3.
Nagy, József, et al.. (2025). Comparative analysis of morphological and hemodynamic parameters in stable anterior communicating and middle cerebral artery aneurysms. Journal of Stroke and Cerebrovascular Diseases. 34(7). 108335–108335. 1 indexed citations
4.
Tschoellitsch, Thomas, Philipp Moser, Philipp Seidl, et al.. (2024). Machine learning prediction of unexpected readmission or death after discharge from intensive care: A retrospective cohort study. Journal of Clinical Anesthesia. 99. 111654–111654. 2 indexed citations
5.
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7.
Moser, Philipp, et al.. (2023). Modeling of 3D Blood Flows with Physics-Informed Neural Networks: Comparison of Network Architectures. Fluids. 8(2). 46–46. 23 indexed citations
8.
Stefanits, Harald, Michael Giretzlehner, Richard Drexler, et al.. (2023). Machine learning based outcome prediction of microsurgically treated unruptured intracranial aneurysms. Scientific Reports. 13(1). 22641–22641. 8 indexed citations
9.
Winter, Raimund, Robert Hartmann, Michael Giretzlehner, et al.. (2023). Workflow assessment of an augmented reality application for planning of perforator flaps in plastic reconstructive surgery: Game or game changer?. Digital Health. 9. 589817266–589817266. 6 indexed citations
10.
Luze, Hanna, et al.. (2022). Epidemiology of burn injury and the ideal dressing in global burn care – Regional differences explored. Burns. 49(1). 1–14. 39 indexed citations
11.
Böck, Carl, et al.. (2022). Lifting Hospital Electronic Health Record Data Treasures: Challenges and Opportunities. JMIR Medical Informatics. 10(10). e38557–e38557. 6 indexed citations
12.
Nischwitz, Sebastian P., Hanna Luze, Daniel Popp, et al.. (2021). Global burn care and the ideal burn dressing reloaded — A survey of global experts. Burns. 47(7). 1665–1674. 18 indexed citations
13.
Giretzlehner, Michael, et al.. (2021). Technical and Medical Aspects of Burn Size Assessment and Documentation. Medicina. 57(3). 242–242. 20 indexed citations
14.
Parvizi, Daryousch, Michael Giretzlehner, Paul Wurzer, et al.. (2016). BurnCase 3D software validation study: Burn size measurement accuracy and inter-rater reliability. Burns. 42(2). 329–335. 28 indexed citations
15.
Wurzer, Paul, Daryousch Parvizi, David B. Lumenta, et al.. (2015). Smartphone applications in burns. Burns. 41(5). 977–989. 42 indexed citations
16.
Urschler, Martin, Alexander Bornik, Michael Giretzlehner, et al.. (2014). Intuitive presentation of clinical forensic data using anonymous and person-specific 3D reference manikins. Forensic Science International. 241. 155–166. 17 indexed citations
17.
Kamolz, Lars‐Peter, et al.. (2014). Smartphones and burn size estimation: "Rapid Burn Assessor".. PubMed. 27(2). 101–4. 14 indexed citations
18.
Giretzlehner, Michael, Johannes Dirnberger, Robert Owen, et al.. (2013). The determination of total burn surface area: How much difference?. Burns. 39(6). 1107–1113. 69 indexed citations
19.
Selig, Harald, David B. Lumenta, Michael Giretzlehner, et al.. (2012). The properties of an “ideal” burn wound dressing – What do we need in daily clinical practice? Results of a worldwide online survey among burn care specialists. Burns. 38(7). 960–966. 117 indexed citations
20.
Dirnberger, Johannes, et al.. (2003). Modelling Human Burn Injuries in a Three-Dimensional Virtual Environment. Studies in health technology and informatics. 94. 52–8. 13 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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