G. Hofer

29 papers and 527 indexed citations i.

About

G. Hofer is a scholar working on Materials Chemistry, Signal Processing and Artificial Intelligence. According to data from OpenAlex, G. Hofer has authored 29 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Materials Chemistry, 10 papers in Signal Processing and 9 papers in Artificial Intelligence. Recurrent topics in G. Hofer’s work include Speech and Audio Processing (9 papers), Covalent Organic Framework Applications (9 papers) and Speech Recognition and Synthesis (8 papers). G. Hofer is often cited by papers focused on Speech and Audio Processing (9 papers), Covalent Organic Framework Applications (9 papers) and Speech Recognition and Synthesis (8 papers). G. Hofer collaborates with scholars based in Switzerland, United Kingdom and Austria. G. Hofer's co-authors include A. Dieter Schlüter, Thomas Weber, Hiroshi Shimodaira, Korin Richmond, Michael Pucher, Martin Kröger, Junichi Yamagishi, Robert A. Clark, Dimitri Palaz and Pauline Lecomte‐Grosbras and has published in prestigious journals such as Journal of the American Chemical Society, Chemical Society Reviews and Angewandte Chemie International Edition.

In The Last Decade

Co-authorship network of co-authors of G. Hofer i

Fields of papers citing papers by G. Hofer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by G. Hofer

Since Specialization
Citations

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