Christina Gsaxner

1.7k citations
49 papers · 825 indexed · h-index 17
Topics
Anatomy and Medical Technology (15 papers)Surgical Simulation and Training (12 papers)Augmented Reality Applications (12 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
Partner nations
AustriaGermanyChina

In The Last Decade

Christina Gsaxner

47 papers receiving 815 citations

Peers

Christina Gsaxner
Comparison fields: 5 of 112
  • Biomedical Engineering 291
  • Surgery 238
  • Computer Vision and Pattern Recognition 235
  • Radiology, Nuclear Medicine and Imaging 215
  • Artificial Intelligence 137
Replace João L. Vilaça with:
João L. Vilaça Portugal
Antonio Pepe Austria
Yongwon Cho South Korea
Ching‐Wei Wang Taiwan
Ewa Piętka Poland
Jérôme Thevenot Finland
Reza A. Zoroofi Iran
Darko Štern Austria
Zhijian Song China
David Bouget Norway
Christina Gsaxner relative to João L. Vilaça Portugal João L. Vilaça's profile →
Citations per field
00.5×1.5×
João L. Vilaça · 1×
Citations per year

Countries citing papers authored by Christina Gsaxner

Since Specialization
Citations

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

Fields of papers citing papers by Christina Gsaxner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christina Gsaxner

This figure shows the co-authorship network connecting the top 25 collaborators of Christina Gsaxner. A scholar is included among the top collaborators of Christina Gsaxner 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 Christina Gsaxner. Christina Gsaxner 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
#WorkIndexed citations
1 2
2 0
3 1
4 1
5 0
6 2
7 6
8 35
9 6
10 6
11 153
12 20
13 15
14 27
15 22
16 36
17 52
18 15
19 17
20 56

About Christina Gsaxner

Christina Gsaxner is a scholar working on Health Informatics, Computer Vision and Pattern Recognition and Oral Surgery, having authored 49 papers that have together received 825 indexed citations. Recurring topics across this work include Anatomy and Medical Technology (15 papers), Surgical Simulation and Training (12 papers) and Augmented Reality Applications (12 papers). The work is most often cited by research in Health Informatics (83 citations), Oral Surgery (118 citations) and Computer Vision and Pattern Recognition (235 citations). Christina Gsaxner has collaborated with scholars based in Austria, Germany and China. Frequent co-authors include Jan Egger, Antonio Pepe, Jianning Li, Jens Kleesiek, Jürgen Wallner, Dieter Schmalstieg, Yuan Jin, Kelsey L. Pomykala, Xiaojun Chen and Vitoantonio Bevilacqua. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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