Magdalena K. Chmarra

27 papers and 990 indexed citations i.

About

Magdalena K. Chmarra is a scholar working on Surgery, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Magdalena K. Chmarra has authored 27 papers receiving a total of 990 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Surgery, 19 papers in Biomedical Engineering and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Magdalena K. Chmarra’s work include Surgical Simulation and Training (23 papers), Anatomy and Medical Technology (17 papers) and Augmented Reality Applications (9 papers). Magdalena K. Chmarra is often cited by papers focused on Surgical Simulation and Training (23 papers), Anatomy and Medical Technology (17 papers) and Augmented Reality Applications (9 papers). Magdalena K. Chmarra collaborates with scholars based in The Netherlands, Norway and Spain. Magdalena K. Chmarra's co-authors include Jenny Dankelman, Frank Willem Jansen, C.A. Grimbergen, Thomas Langø, Ronald Mårvik, Erlend Fagertun Hofstad, Cecilie Våpenstad, Pablo Lamata, Ignacio Oropesa García and Enrique J. Gómez Aguilera and has published in prestigious journals such as PLoS ONE, Surgical Endoscopy and Sensors and Actuators A Physical.

In The Last Decade

Co-authorship network of co-authors of Magdalena K. Chmarra i

Fields of papers citing papers by Magdalena K. Chmarra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Magdalena K. Chmarra. 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 Magdalena K. Chmarra. The network helps show where Magdalena K. Chmarra may publish in the future.

Countries citing papers authored by Magdalena K. Chmarra

Since Specialization
Citations

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

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025