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).
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.
Deldjoo, Yashar, et al.. (2019). The 2019 Multimedia for Recommender System Task: MovieREC and NewsREEL at MediaEval.. Research Portal (Queen's University Belfast).
Deldjoo, Yashar, Mihai Gabriel Constantin, Athanasios Dritsas, Bogdan Ionescu, & Markus Schedl. (2018). The MediaEval 2018 Movie Recommendation Task: Recommending Movies Using Content.. MediaEval.1 indexed citations
14.
Ferwerda, Bruce, Marko Tkalčič, & Markus Schedl. (2017). Personality Traits and Music Genre Preferences : How Music Taste Varies Over Age Groups. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1922. 16–20.16 indexed citations
15.
Ferwerda, Bruce, Mark P. Graus, Andreu Vall, Marko Tkalčič, & Markus Schedl. (2016). The Influence of Users' Personality Traits on Satisfaction and Attractiveness of Diversified Recommendation Lists. TU/e Research Portal. 1680. 43–47.12 indexed citations
16.
Sjöberg, Mats, et al.. (2014). The MediaEval 2014 Affect Task: Violent Scenes Detection. Aaltodoc (Aalto University).7 indexed citations
17.
Sjöberg, Mats, Jan Schlüter, Bogdan Ionescu, & Markus Schedl. (2013). FAR at MediaEval 2013 Violent Scenes Detection: Concept-based Violent Scenes Detection in Movies. MediaEval.9 indexed citations
18.
Schnitzer, Dominik, Arthur Flexer, Markus Schedl, & Gerhard Widmer. (2012). Local and global scaling reduce hubs in space. Journal of Machine Learning Research. 13(1). 2871–2902.51 indexed citations
19.
Schlüter, Jan, et al.. (2012). ARF @ MediaEval 2012: An Uninformed Approach to Violence Detection in Hollywood Movies. MediaEval.5 indexed citations
20.
Hirzinger, G., K. Landzettel, B. Brunner, et al.. (1999). DLR's ROBOTICS LAB - RECENT DEVELOPMENTS IN SPACE ROBOTICS. International Conference on Robotics and Automation. 440. 25.10 indexed citations
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.