Mario Fleischer

18 papers and 253 indexed citations i.

About

Mario Fleischer is a scholar working on Artificial Intelligence, Physiology and Signal Processing. According to data from OpenAlex, Mario Fleischer has authored 18 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 7 papers in Physiology and 6 papers in Signal Processing. Recurrent topics in Mario Fleischer’s work include Speech Recognition and Synthesis (7 papers), Voice and Speech Disorders (7 papers) and Speech and Audio Processing (4 papers). Mario Fleischer is often cited by papers focused on Speech Recognition and Synthesis (7 papers), Voice and Speech Disorders (7 papers) and Speech and Audio Processing (4 papers). Mario Fleischer collaborates with scholars based in Germany. Mario Fleischer's co-authors include Dirk Mürbe, Martin Kriegel, A. Hartmann, Peter Birkholz, Ivan Platzek, Anthony W. Gummer, Rolf Schmidt, Johan Sundberg, Thomas Zahnert and Yury M. Yarin and has published in prestigious journals such as PLoS ONE, Scientific Reports and The Journal of the Acoustical Society of America.

In The Last Decade

Co-authorship network of co-authors of Mario Fleischer i

Fields of papers citing papers by Mario Fleischer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mario Fleischer

Since Specialization
Citations

This map shows the geographic impact of Mario Fleischer'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 Mario Fleischer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Fleischer 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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2025