Daniel Laxar
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
- Human-Computer Interaction top 5%
- Virtual Reality Applications and Impacts
Papers in
- Surgery 3
- Nausea and vomiting management 1
- Healthcare Technology and Patient Monitoring 1
- Hemodynamic Monitoring and Therapy 1
-
- Intensive Care Unit Cognitive Disorders 2
- Co-authors
- Oliver Kimberger (14 shared papers)Sebastian Zeiner (4 shared papers)Harald Willschke (5 shared papers)Atanas G. Atanasov (2 shared papers)Jivko Stoyanov (1 shared paper)Marija Glišić (1 shared paper)Anela Tosevska (1 shared paper)Fabian Eibensteiner (1 shared paper)
In The Last Decade
Daniel Laxar
17 papers receiving 322 citations
Daniel Laxar's Hit Papers
Peers
Comparison fields: 5 of 94
- Health Informatics 20
- Human-Computer Interaction 56
- General Dentistry 6
- Computer Vision and Pattern Recognition 58
- Rehabilitation 15
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-authors
The 25 scholars most cited alongside Daniel Laxar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Virtual and Augmented Reality Applications in Medicine: Analysis of the Scientific Literature Hit paper breakdown → | 2021 | 240 |
| 2 | 2022 | 16 | |
| 3 | 2023 | 15 | |
| 4 | 2023 | 14 | |
| 5 | 2023 | 12 | |
| 6 | 2021 | 11 | |
| 7 | 2022 | 5 | |
| 8 | 2022 | 5 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 2 | |
| 12 | 2024 | 2 | |
| 13 | 2023 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2021 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2024 | 0 | |
| 19 | 2024 | 0 | |
| 20 | 2024 | 0 |
About Daniel Laxar
Daniel Laxar is a scholar working on Surgery, Critical Care and Intensive Care Medicine, Cardiology and Cardiovascular Medicine, Infectious Diseases and Pulmonary and Respiratory Medicine, having authored 20 papers that have together received 335 indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (2 papers), Intensive Care Unit Cognitive Disorders (2 papers), Nausea and vomiting management (1 paper), Medical Education and Admissions (1 paper), Healthcare Technology and Patient Monitoring (1 paper), Hemodynamic Monitoring and Therapy (1 paper), Respiratory Support and Mechanisms (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Health Informatics (20 citations), Human-Computer Interaction (56 citations), General Dentistry (6 citations), Computer Vision and Pattern Recognition (58 citations) and Rehabilitation (15 citations). Daniel Laxar has collaborated with scholars based in Austria, Bulgaria and Poland. Frequent co-authors include Oliver Kimberger, Sebastian Zeiner, Harald Willschke, Atanas G. Atanasov, Jivko Stoyanov, Marija Glišić, Anela Tosevska, Fabian Eibensteiner, Maria Kletečka-Pulker and Stefan Tino Kulnik. Their work appears in journals such as Journal of Clinical Medicine, Nutrients, Journal of Medical Internet Research, BMC Emergency Medicine and Aging and Disease.
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.