Daniel Laxar

18 papers receiving 378 citations

Daniel Laxar's Hit Papers

Virtual and Augmented Reality Applications in Medicine: Analysis of the Scientific Literature 2021 · 284 citations
2840+1+3Years since publication50100150200250

Peers

Daniel Laxar
Comparison fields: 5 of 100
  • Health Informatics 28
  • Human-Computer Interaction 67
  • General Dentistry 7
  • Rehabilitation 18
  • Computer Vision and Pattern Recognition 65
Replace Sebastian Zeiner with:
Sebastian Zeiner Austria
Justin Sutherland Canada
Karim A. Qayumi Canada
Yu-fei Leng China
Ioannis Skalidis Switzerland
Andrew Smith Canada
Kartik Logishetty United Kingdom
Jang Won Yoon United States
Ryan Lohre United States
Christian Alexander Pean United States
Daniel Laxar relative to Sebastian Zeiner Austria Sebastian Zeiner's profile →
Citations per field
00.5×1.7×
Sebastian Zeiner · 1×
Citations per year

Countries citing papers authored by Daniel Laxar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniel Laxar Line = papers co-authored together Daniel Laxar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Virtual and Augmented Reality Applications in Medicine: Analysis of the Scientific Literature
Hit paper breakdown →
2021284
2 202317
3 202216
4 202315
5 202314
6 202111
7 20227
8 20225
9 20235
10 20233
11 20233
12 20243
13 20252
14 20231
15 20241
16 20241
17 20211
18 20241
19 20240
20 20240

About Daniel Laxar

Daniel Laxar is a scholar working on Critical Care and Intensive Care Medicine, Emergency Medicine, Cardiology and Cardiovascular Medicine, Modeling and Simulation and Anesthesiology and Pain Medicine, having authored 21 papers that have together received 390 indexed citations. Recurring topics across this work include Intensive Care Unit Cognitive Disorders (2 papers), Mechanical Circulatory Support Devices (2 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), Respiratory Support and Mechanisms (2 papers), Adrenal Hormones and Disorders (1 paper), COVID-19 Clinical Research Studies (1 paper), COVID-19 epidemiological studies (1 paper) and Airway Management and Intubation Techniques (1 paper). The work is most often cited by research in Health Informatics (28 citations), Human-Computer Interaction (67 citations), General Dentistry (7 citations), Rehabilitation (18 citations) and Computer Vision and Pattern Recognition (65 citations). Daniel Laxar has collaborated with scholars based in Austria, Bulgaria and Netherlands. Frequent co-authors include Oliver Kimberger, Sebastian Zeiner, Harald Willschke, Anela Tosevska, Stefan Tino Kulnik, Jivko V. Stoyanov, Fabian Eibensteiner, Rik Crutzen, Elisabeth Klager and Marija Glišić. Their work appears in journals such as Journal of Clinical Medicine, Nutrients, Scientific Reports, Journal of Medical Internet Research and Liver International.

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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