Maria Schuster

102 papers and 1.7k indexed citations i.

About

Maria Schuster is a scholar working on Physiology, Artificial Intelligence and Genetics. According to data from OpenAlex, Maria Schuster has authored 102 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Physiology, 28 papers in Artificial Intelligence and 20 papers in Genetics. Recurrent topics in Maria Schuster’s work include Voice and Speech Disorders (45 papers), Speech Recognition and Synthesis (26 papers) and Cleft Lip and Palate Research (18 papers). Maria Schuster is often cited by papers focused on Voice and Speech Disorders (45 papers), Speech Recognition and Synthesis (26 papers) and Cleft Lip and Palate Research (18 papers). Maria Schuster collaborates with scholars based in Germany, Austria and United States. Maria Schuster's co-authors include Ulrich Eysholdt, Elmar Nöth, Emeka Nkenke, Jörg Lohscheller, F. Rosanowski, Andreas Maier, Tino Haderlein, Florian Stelzle, Ulrich Hoppe and Michael Döllinger and has published in prestigious journals such as Blood, PLoS ONE and Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Maria Schuster i

Fields of papers citing papers by Maria Schuster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maria Schuster

Since Specialization
Citations

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