David Hauger
Impact in
- Signal Processing top 10%
- Music and Audio Processing
- Computer Science Applications top 10%
- Online Learning and Analytics
Papers in
-
- Music and Audio Processing 8
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- Music Technology and Sound Studies 6
- Video Analysis and Summarization 3
- Co-authors
- Markus Schedl (8 shared papers)Marko Tkalčič (3 shared papers)Andrej Košir (1 shared paper)Dominik Schnitzer (1 shared paper)Alexandros Paramythis (1 shared paper)Stephan Weibelzahl (1 shared paper)Lex van Velsen (1 shared paper)Julián Urbano (1 shared paper)
- Journals
- Multimedia Systems (1 paper)LWA (2 papers)Open Research Online (The Open University) (1 paper)University of Twente Research Information (1 paper)Goldsmiths (University of London) (1 paper)
- Partner nations
- AustriaItalyNetherlands
In The Last Decade
David Hauger
14 papers receiving 185 citations
Peers
Comparison fields: 5 of 39
- Signal Processing 90
- Computer Science Applications 40
- Music 15
- Information Systems 75
- Computer Vision and Pattern Recognition 68
Countries citing papers authored by David Hauger
This map shows the geographic impact of David Hauger'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 David Hauger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Hauger more than expected).
Fields of papers citing papers by David Hauger
This network shows the impact of papers produced by David Hauger. 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 David Hauger. The network helps show where David Hauger may publish in the future.
Co-authors
The 13 scholars most cited alongside David Hauger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | State of the Art of Adaptivity in E-Learning Platforms | 2007 | 47 |
| 2 | 2015 | 37 | |
| 3 | 2013 | 28 | |
| 4 | 2011 | 16 | |
| 5 | 2012 | 15 | |
| 6 | 2012 | 11 | |
| 7 | 2014 | 11 | |
| 8 | 2013 | 10 | |
| 9 | The use and effectiveness of synchronous audiographic conferencing in modern language teaching and learning (online language tuition): A systematic review of available research | 2005 | 8 |
| 10 | Analyzing Client-side Interactions to Determine Reading Behaviour | 2009 | 5 |
| 11 | Fine-grained user models by means of asynchronous web technologies. | 2008 | 4 |
| 12 | 2016 | 4 | |
| 13 | Using Asynchronous Client-Side User Monitoring to Enhance User Modeling in Adaptive E-Learning Systems | 2009 | 4 |
| 14 | 2016 | 3 |
About David Hauger
David Hauger is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Information Systems, Artificial Intelligence and Music, having authored 14 papers that have together received 203 indexed citations. Recurring topics across this work include Music and Audio Processing (8 papers), Music Technology and Sound Studies (6 papers), Recommender Systems and Techniques (5 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers), Video Analysis and Summarization (3 papers), Advanced Text Analysis Techniques (2 papers), Online Learning and Analytics (2 papers) and Neuroscience and Music Perception (2 papers). The work is most often cited by research in Signal Processing (90 citations), Computer Science Applications (40 citations), Music (15 citations), Information Systems (75 citations) and Computer Vision and Pattern Recognition (68 citations). David Hauger has collaborated with scholars based in Austria, Italy and Netherlands. Frequent co-authors include Markus Schedl, Marko Tkalčič, Andrej Košir, Dominik Schnitzer, Alexandros Paramythis, Stephan Weibelzahl, Lex van Velsen, Julián Urbano, Paul F. Smith and Andreu Vall. Their work appears in journals such as Multimedia Systems, LWA, Open Research Online (The Open University), University of Twente Research Information and Goldsmiths (University of London).
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.