Markus Schedl
- Signal Processing top 0.2%
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 1%
- Information Systems top 0.5%
- Cognitive Neuroscience top 5%
- Co-authors
- Peter KneesGerhard WidmerBruce FerwerdaTim PohleMarko TkalčičJulián UrbanoSebastian BöckYashar Deldjoo
- Topics
- Music and Audio Processing (153 papers)Music Technology and Sound Studies (88 papers)Recommender Systems and Techniques (42 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
In The Last Decade
Markus Schedl
222 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 130
- Signal Processing 2.1k
- Computer Vision and Pattern Recognition 2.0k
- Artificial Intelligence 1.1k
- Information Systems 998
- Cognitive Neuroscience 651
Countries citing papers authored by Markus Schedl
This map shows the geographic impact of Markus Schedl'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 Markus Schedl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Schedl more than expected).
Fields of papers citing papers by Markus Schedl
This network shows the impact of papers produced by Markus Schedl. 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 Markus Schedl. The network helps show where Markus Schedl may publish in the future.
Co-authorship network of co-authors of Markus Schedl
This figure shows the co-authorship network connecting the top 25 collaborators of Markus Schedl. A scholar is included among the top collaborators of Markus Schedl based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Markus Schedl. Markus Schedl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 26 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 17 | |
| 11 | The 2019 Multimedia for Recommender System Task: MovieREC and NewsREEL at MediaEval. | 0 |
| 12 | 49 | |
| 13 | The MediaEval 2018 Movie Recommendation Task: Recommending Movies Using Content. | 1 |
| 14 | Personality Traits and Music Genre Preferences : How Music Taste Varies Over Age Groups | 16 |
| 15 | The Influence of Users' Personality Traits on Satisfaction and Attractiveness of Diversified Recommendation Lists | 12 |
| 16 | The MediaEval 2014 Affect Task: Violent Scenes Detection | 7 |
| 17 | FAR at MediaEval 2013 Violent Scenes Detection: Concept-based Violent Scenes Detection in Movies | 9 |
| 18 | Local and global scaling reduce hubs in space | 51 |
| 19 | ARF @ MediaEval 2012: An Uninformed Approach to Violence Detection in Hollywood Movies | 5 |
| 20 | DLR's ROBOTICS LAB - RECENT DEVELOPMENTS IN SPACE ROBOTICS | 10 |
About Markus Schedl
Markus Schedl is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Music, having authored 235 papers that have together received 4.0k indexed citations. Recurring topics across this work include Music and Audio Processing (153 papers), Music Technology and Sound Studies (88 papers) and Recommender Systems and Techniques (42 papers). The work is most often cited by research in Signal Processing (2.1k citations), Computer Vision and Pattern Recognition (2.0k citations) and Music (248 citations). Markus Schedl has collaborated with scholars based in Austria, Italy and Spain. Frequent co-authors include Peter Knees, Gerhard Widmer, Bruce Ferwerda, Tim Pohle, Marko Tkalčič, Julián Urbano, Sebastian Böck, Yashar Deldjoo, Emília Gómez and Paolo Cremonesi. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.