Daniel Laxar
- Surgery
- Computer Vision and Pattern Recognition top 10%
- Human-Computer Interaction top 5%
- Biomedical Engineering
- Public Health, Environmental and Occupational Health
- Co-authors
- Oliver KimbergerSebastian ZeinerStefan Tino KulnikFabian EibensteinerJivko StoyanovAtanas G. AtanasovElisabeth KlagerAndy Wai Kan Yeung
- Topics
- Intensive Care Unit Cognitive Disorders (4 papers)COVID-19 Clinical Research Studies (3 papers)Respiratory Support and Mechanisms (3 papers)
- Partner nations
- AustriaPolandNetherlands
In The Last Decade
Daniel Laxar
15 papers receiving 304 citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Surgery 99
- Computer Vision and Pattern Recognition 67
- Human-Computer Interaction 65
- Biomedical Engineering 60
- Public Health, Environmental and Occupational Health 31
Countries citing papers authored by Daniel Laxar
This map shows the geographic impact of Daniel Laxar'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 Daniel Laxar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Laxar more than expected).
Fields of papers citing papers by Daniel Laxar
This network shows the impact of papers produced by Daniel Laxar. 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 Daniel Laxar. The network helps show where Daniel Laxar may publish in the future.
Co-authorship network of co-authors of Daniel Laxar
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Laxar. A scholar is included among the top collaborators of Daniel Laxar 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 Daniel Laxar. Daniel Laxar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 13 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 14 | |
| 12 | 5 | |
| 13 | 1 | |
| 14 | 10 | |
| 15 | 16 | |
| 16 | 3 | |
| 17 | 4 | |
| 18 | 11 | |
| 19 | Virtual and Augmented Reality Applications in Medicine: Analysis of the Scientific Literaturebreakdown → | 232 |
| 20 | 1 |
About Daniel Laxar
Daniel Laxar is a scholar working on Critical Care and Intensive Care Medicine, Health Informatics and Family Practice, having authored 20 papers that have together received 317 indexed citations. Recurring topics across this work include Intensive Care Unit Cognitive Disorders (4 papers), COVID-19 Clinical Research Studies (3 papers) and Respiratory Support and Mechanisms (3 papers). The work is most often cited by research in Health Informatics (22 citations), Human-Computer Interaction (65 citations) and Computer Vision and Pattern Recognition (67 citations). Daniel Laxar has collaborated with scholars based in Austria, Poland and Netherlands. Frequent co-authors include Oliver Kimberger, Sebastian Zeiner, Stefan Tino Kulnik, Fabian Eibensteiner, Jivko Stoyanov, Atanas G. Atanasov, Elisabeth Klager, Andy Wai Kan Yeung, Anela Tosevska and Harald Willschke. Their work appears in journals such as PLoS ONE, Scientific Reports and Anesthesiology.
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.