Lea Schönherr

About

Lea Schönherr is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Lea Schönherr has authored 13 papers receiving a total of 187 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Information Systems and 5 papers in Signal Processing. Recurrent topics in Lea Schönherr’s work include Adversarial Robustness in Machine Learning (4 papers), Speech and Audio Processing (3 papers) and Music and Audio Processing (3 papers). Lea Schönherr is often cited by papers focused on Adversarial Robustness in Machine Learning (4 papers), Speech and Audio Processing (3 papers) and Music and Audio Processing (3 papers). Lea Schönherr collaborates with scholars based in Germany, Italy and United States. Lea Schönherr's co-authors include Dorothea Kolossa, Thorsten Holz, Steffen Zeiler, Katharina Kohls, Asja Fischer, J. Howard Frank, Martin Heckmann, Mario Fritz, Markus Dürmuth and Maximilian Golla and has published in prestigious journals such as Computer Speech & Language, INDIGO (University of Illinois at Chicago) and OPAL (Open@LaTrobe) (La Trobe University).

In The Last Decade

Co-authorship network of co-authors of Lea Schönherr i

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Fields of papers citing papers by Lea Schönherr

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lea Schönherr

Since Specialization

Citations

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