Daniel Seebacher

18 papers and 255 indexed citations i.

About

Daniel Seebacher is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Economics and Econometrics. According to data from OpenAlex, Daniel Seebacher has authored 18 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 5 papers in Signal Processing and 5 papers in Economics and Econometrics. Recurrent topics in Daniel Seebacher’s work include Data Visualization and Analytics (12 papers), Video Analysis and Summarization (5 papers) and Sports Analytics and Performance (5 papers). Daniel Seebacher is often cited by papers focused on Data Visualization and Analytics (12 papers), Video Analysis and Summarization (5 papers) and Sports Analytics and Performance (5 papers). Daniel Seebacher collaborates with scholars based in Germany, Austria and Switzerland. Daniel Seebacher's co-authors include Daniel A. Keim, Tobias Schreck, Manuel Stein, Michael Grossniklaus, Halldór Janetzko, Hanspeter Pfister, Michael Behrisch, Johannes Fuchs, Ulrik Brandes and Liwei Shao and has published in prestigious journals such as Sensors, Journal of Sports Sciences and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Co-authorship network of co-authors of Daniel Seebacher i

Fields of papers citing papers by Daniel Seebacher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Seebacher. 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 Daniel Seebacher. The network helps show where Daniel Seebacher may publish in the future.

Countries citing papers authored by Daniel Seebacher

Since Specialization
Citations

This map shows the geographic impact of Daniel Seebacher'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 Daniel Seebacher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Seebacher more than expected).

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025