G. Hofer
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
- Inorganic Chemistry top 10%
- Metal-Organic Frameworks: Synthesis and Applications
Papers in
-
- Speech and Audio Processing 12
-
- Covalent Organic Framework Applications 9
- Graphene research and applications 4
- Luminescence and Fluorescent Materials 4
- Co-authors
- A. Dieter Schlüter (10 shared papers)Thomas Weber (4 shared papers)Hiroshi Shimodaira (9 shared papers)Korin Richmond (2 shared papers)Michael Pucher (6 shared papers)Junichi Yamagishi (3 shared papers)Martin Kröger (3 shared papers)Michael Berger (3 shared papers)
- Journals
- Angewandte Chemie International Edition (2 papers)Journal of the American Chemical Society (2 papers)Language Resources and Evaluation (2 papers)IEEE Journal of Selected Topics in Signal Processing (1 paper)Journal of Applied Crystallography (1 paper)
- Partner nations
- United KingdomSwitzerlandAustria
In The Last Decade
G. Hofer
35 papers receiving 584 citations
Peers
Comparison fields: 5 of 57
- Signal Processing 163
- Inorganic Chemistry 132
- Experimental and Cognitive Psychology 107
- Materials Chemistry 313
- Artificial Intelligence 134
Countries citing papers authored by G. Hofer
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).
Fields of papers citing papers by G. Hofer
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.
Co-authors
The 25 scholars most cited alongside G. Hofer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 150 | |
| 2 | 2018 | 67 | |
| 3 | 2019 | 65 | |
| 4 | 2020 | 38 | |
| 5 | 2019 | 33 | |
| 6 | 2008 | 31 | |
| 7 | 2005 | 29 | |
| 8 | 2013 | 25 | |
| 9 | 2018 | 24 | |
| 10 | 2007 | 24 | |
| 11 | 2016 | 18 | |
| 12 | 2010 | 18 | |
| 13 | 2007 | 13 | |
| 14 | 2014 | 12 | |
| 15 | 2017 | 10 | |
| 16 | 2019 | 9 | |
| 17 | 2011 | 9 | |
| 18 | 2018 | 8 | |
| 19 | 2015 | 8 | |
| 20 | 2012 | 7 |
About G. Hofer
G. Hofer is a scholar working on Signal Processing, Materials Chemistry, Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering, having authored 35 papers that have together received 634 indexed citations. Recurring topics across this work include Speech and Audio Processing (12 papers), Face recognition and analysis (9 papers), Speech Recognition and Synthesis (9 papers), Covalent Organic Framework Applications (9 papers), Human Motion and Animation (4 papers), Graphene research and applications (4 papers), Luminescence and Fluorescent Materials (4 papers) and Infant Health and Development (3 papers). The work is most often cited by research in Signal Processing (163 citations), Inorganic Chemistry (132 citations), Experimental and Cognitive Psychology (107 citations), Materials Chemistry (313 citations) and Artificial Intelligence (134 citations). G. Hofer has collaborated with scholars based in United Kingdom, Switzerland and Austria. Frequent co-authors include A. Dieter Schlüter, Thomas Weber, Hiroshi Shimodaira, Korin Richmond, Michael Pucher, Junichi Yamagishi, Martin Kröger, Michael Berger, Robert A. Clark and Pauline Lecomte‐Grosbras. Their work appears in journals such as Angewandte Chemie International Edition, Journal of the American Chemical Society, Language Resources and Evaluation, IEEE Journal of Selected Topics in Signal Processing and Journal of Applied Crystallography.
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.