Katja Schladitz

94 papers and 1.2k indexed citations i.

About

Katja Schladitz is a scholar working on Computer Vision and Pattern Recognition, Mechanics of Materials and Computational Mechanics. According to data from OpenAlex, Katja Schladitz has authored 94 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 17 papers in Mechanics of Materials and 15 papers in Computational Mechanics. Recurrent topics in Katja Schladitz’s work include Medical Image Segmentation Techniques (14 papers), 3D Shape Modeling and Analysis (10 papers) and Digital Image Processing Techniques (10 papers). Katja Schladitz is often cited by papers focused on Medical Image Segmentation Techniques (14 papers), 3D Shape Modeling and Analysis (10 papers) and Digital Image Processing Techniques (10 papers). Katja Schladitz collaborates with scholars based in Germany, France and United States. Katja Schladitz's co-authors include Joachim Ohser, Claudia Redenbach, Andreas Wiegmann, Stefanie Peters, Oliver Wirjadi, Christian Wieser, Adrian Baddeley, Werner Nagel, Aila Särkkä and Alexander Rack and has published in prestigious journals such as Applied Physics Letters, Langmuir and Acta Materialia.

In The Last Decade

Co-authorship network of co-authors of Katja Schladitz i

Fields of papers citing papers by Katja Schladitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Katja Schladitz

Since Specialization
Citations

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

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