Samuel Gratzl

20 papers and 528 indexed citations i.

About

Samuel Gratzl is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Samuel Gratzl has authored 20 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 4 papers in Molecular Biology. Recurrent topics in Samuel Gratzl’s work include Data Visualization and Analytics (12 papers), Scientific Computing and Data Management (4 papers) and Complex Network Analysis Techniques (3 papers). Samuel Gratzl is often cited by papers focused on Data Visualization and Analytics (12 papers), Scientific Computing and Data Management (4 papers) and Complex Network Analysis Techniques (3 papers). Samuel Gratzl collaborates with scholars based in Austria, United States and Australia. Samuel Gratzl's co-authors include Marc Streit, Alexander Lex, Nils Gehlenborg, Hanspeter Pfister, Harald Piringer, Michael Sedlmair, Nicola Cosgrove, Thomas Zichner, Dieter Schmalstieg and Anne Mai Wassermann and has published in prestigious journals such as Bioinformatics, BMC Bioinformatics and Vaccine.

In The Last Decade

Co-authorship network of co-authors of Samuel Gratzl i

Fields of papers citing papers by Samuel Gratzl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Samuel Gratzl

Since Specialization
Citations

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