Andreas Rauber
Impact in
- Signal Processing top 0.2%
- Music and Audio Processing
- Speech and Audio Processing
- Conservation top 0.2%
- Digital and Traditional Archives Management
Papers in
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- Neural Networks and Applications 45
- Semantic Web and Ontologies 32
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- Research Data Management Practices 50
- Co-authors
- Dieter Merkl (41 shared papers)Michael Dittenbach (22 shared papers)Elias Pampalk (9 shared papers)Rudolf Mayer (45 shared papers)Thomas Lidy (22 shared papers)Robert Neumayer (14 shared papers)Shariq Bashir (8 shared papers)Christoph Becker (19 shared papers)
In The Last Decade
Andreas Rauber
307 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 147
- Signal Processing 1.7k
- Conservation 345
- Computer Vision and Pattern Recognition 2.0k
- Artificial Intelligence 2.2k
- Information Systems and Management 411
Countries citing papers authored by Andreas Rauber
This map shows the geographic impact of Andreas Rauber'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 Andreas Rauber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Rauber more than expected).
Fields of papers citing papers by Andreas Rauber
This network shows the impact of papers produced by Andreas Rauber. 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 Andreas Rauber. The network helps show where Andreas Rauber may publish in the future.
Co-authors
The 25 scholars most cited alongside Andreas Rauber, 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 338 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 392 | |
| 2 | 2002 | 227 | |
| 3 | 2000 | 211 | |
| 4 | 2005 | 174 | |
| 5 | 2002 | 105 | |
| 6 | Using smoothed data histograms for cluster visualization in Self-Organizing Maps | 2002 | 93 |
| 7 | 2015 | 86 | |
| 8 | 2009 | 84 | |
| 9 | 2014 | 84 | |
| 10 | 2020 | 81 | |
| 11 | 2002 | 80 | |
| 12 | 2015 | 76 | |
| 13 | 2008 | 73 | |
| 14 | 2007 | 73 | |
| 15 | 2023 | 65 | |
| 16 | 2002 | 63 | |
| 17 | 2010 | 62 | |
| 18 | 2014 | 62 | |
| 19 | 2001 | 57 | |
| 20 | 2007 | 56 |
About Andreas Rauber
Andreas Rauber is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications, having authored 338 papers that have together received 5.1k indexed citations. Recurring topics across this work include Music and Audio Processing (61 papers), Research Data Management Practices (50 papers), Neural Networks and Applications (45 papers), Music Technology and Sound Studies (42 papers), Digital and Traditional Archives Management (40 papers), Scientific Computing and Data Management (39 papers), Semantic Web and Ontologies (32 papers) and Data Quality and Management (28 papers). The work is most often cited by research in Signal Processing (1.7k citations), Conservation (345 citations), Computer Vision and Pattern Recognition (2.0k citations), Artificial Intelligence (2.2k citations) and Information Systems and Management (411 citations). Andreas Rauber has collaborated with scholars based in Austria, Germany and Italy. Frequent co-authors include Dieter Merkl, Michael Dittenbach, Elias Pampalk, Rudolf Mayer, Thomas Lidy, Robert Neumayer, Shariq Bashir, Christoph Becker, Alexander Schindler and Norbert Fuhr. Their work appears in journals such as Lecture notes in computer science, International Journal on Digital Libraries, D-Lib Magazine, Journal of Data and Information Quality and ACM Transactions on Management Information Systems.
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.