Michael Bajka

61 papers receiving 1.3k citations

Peers

Michael Bajka
Comparison fields: 5 of 112
  • Obstetrics and Gynecology 150
  • Computer Graphics and Computer-Aided Design 49
  • Public Health, Environmental and Occupational Health 374
  • Epidemiology 419
  • Biomedical Engineering 518
Replace Erich Sorantin with:
Erich Sorantin Austria
Teresa Mascarenhas Portugal
William M. Thompson United States
Martin C. Freund Austria
Michael T. Walsh Ireland
Ralf Schmitz Germany
Bruce E. Hirsch United States
Barry J. Doyle Australia
Nabil Maklad United States
Alessandro Nava Switzerland
Michael Bajka relative to Erich Sorantin Austria Erich Sorantin's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael Bajka

Since Specialization
Citations

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

Fields of papers citing papers by Michael Bajka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Bajka, 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 Michael Bajka Line = papers co-authored together Michael Bajka links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015175
2 2002171
3 2005109
4 200779
5 200578
6 201363
7 200055
8 200949
9 200847
10 201346
11 200442
12 201236
13 200935
14 200226
15 201522
16
Highly-realistic, immersive training environment for hysteroscopy.
200621
17
Virtual reality based surgery simulation for endoscopic gynaecology.
199921
18 200420
19 201220
20 200720

About Michael Bajka

Michael Bajka is a scholar working on Surgery, Biomedical Engineering, Epidemiology, Computational Mechanics and Public Health, Environmental and Occupational Health, having authored 62 papers that have together received 1.4k indexed citations. Recurring topics across this work include Surgical Simulation and Training (13 papers), Elasticity and Material Modeling (11 papers), 3D Shape Modeling and Analysis (10 papers), Preterm Birth and Chorioamnionitis (10 papers), Pregnancy-related medical research (8 papers), Augmented Reality Applications (8 papers), Pelvic floor disorders treatments (7 papers) and Computer Graphics and Visualization Techniques (7 papers). The work is most often cited by research in Obstetrics and Gynecology (150 citations), Computer Graphics and Computer-Aided Design (49 citations), Public Health, Environmental and Occupational Health (374 citations), Epidemiology (419 citations) and Biomedical Engineering (518 citations). Michael Bajka has collaborated with scholars based in Switzerland, Germany and Austria. Frequent co-authors include Edoardo Mazza, Gábor Székely, Alessandro Nava, M. Kauer, V. Vuskovic, Jürg Dual, Matthias Harders, Peter F. Niederer, Roland Zimmermann and Michael House. Their work appears in journals such as Medical Image Analysis, Ultraschall in der Medizin - European Journal of Ultrasound, Surgical Endoscopy, Journal of Biomechanics and International Journal of Computer Assisted Radiology and Surgery.

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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