Mario Hlawitschka
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Computer Graphics and Computer-Aided Design top 5%
- Cognitive Neuroscience
- Biomedical Engineering
- Co-authors
- Gerik ScheuermannAlexander WiebelHamish CarrKenneth I. JoyRoxana BujackW. PompeNico ScherfDana H. Brooks
- Topics
- Advanced Neuroimaging Techniques and Applications (11 papers)Computer Graphics and Visualization Techniques (10 papers)Advanced MRI Techniques and Applications (8 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Mario Hlawitschka
41 papers receiving 390 citations
Peers
Comparison fields: 5 of 105
- Computer Vision and Pattern Recognition 117
- Radiology, Nuclear Medicine and Imaging 77
- Computer Graphics and Computer-Aided Design 71
- Cognitive Neuroscience 50
- Biomedical Engineering 49
Countries citing papers authored by Mario Hlawitschka
This map shows the geographic impact of Mario Hlawitschka'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 Mario Hlawitschka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Hlawitschka more than expected).
Fields of papers citing papers by Mario Hlawitschka
This network shows the impact of papers produced by Mario Hlawitschka. 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 Mario Hlawitschka. The network helps show where Mario Hlawitschka may publish in the future.
Co-authorship network of co-authors of Mario Hlawitschka
This figure shows the co-authorship network connecting the top 25 collaborators of Mario Hlawitschka. A scholar is included among the top collaborators of Mario Hlawitschka 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 Mario Hlawitschka. Mario Hlawitschka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 15 | |
| 4 | 9 | |
| 5 | 8 | |
| 6 | 34 | |
| 7 | 22 | |
| 8 | 16 | |
| 9 | 9 | |
| 10 | 24 | |
| 11 | 6 | |
| 12 | 15 | |
| 13 | 3 | |
| 14 | 30 | |
| 15 | 2 | |
| 16 | 8 | |
| 17 | 9 | |
| 18 | 1 | |
| 19 | 5 | |
| 20 | 51 |
About Mario Hlawitschka
Mario Hlawitschka is a scholar working on Computational Mathematics, Computer Graphics and Computer-Aided Design and Radiology, Nuclear Medicine and Imaging, having authored 41 papers that have together received 404 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (11 papers), Computer Graphics and Visualization Techniques (10 papers) and Advanced MRI Techniques and Applications (8 papers). The work is most often cited by research in Computational Mathematics (15 citations), Computer Graphics and Computer-Aided Design (71 citations) and Biophysics (35 citations). Mario Hlawitschka has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Gerik Scheuermann, Alexander Wiebel, Hamish Carr, Kenneth I. Joy, Roxana Bujack, W. Pompe, Nico Scherf, Dana H. Brooks, Benjamin Schmid and Gopi Shah. Their work appears in journals such as Nature Communications, PLoS ONE and NeuroImage.
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.