Udo Schlegel

15 papers and 267 indexed citations i.

About

Udo Schlegel is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Udo Schlegel has authored 15 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. Recurrent topics in Udo Schlegel’s work include Data Visualization and Analytics (10 papers), Explainable Artificial Intelligence (XAI) (6 papers) and Time Series Analysis and Forecasting (3 papers). Udo Schlegel is often cited by papers focused on Data Visualization and Analytics (10 papers), Explainable Artificial Intelligence (XAI) (6 papers) and Time Series Analysis and Forecasting (3 papers). Udo Schlegel collaborates with scholars based in Germany, Italy and United States. Udo Schlegel's co-authors include Mennatallah El‐Assady, Hanna Schäfer, Daniel A. Keim, Daniela Oelke, Riccardo Guidotti, Andreas Theissler, Min Chen, Dominik Jäckle, B. Schneider and Hansjörg Neth and has published in prestigious journals such as IEEE Access, IEEE Transactions on Visualization and Computer Graphics and Computers & Graphics.

In The Last Decade

Co-authorship network of co-authors of Udo Schlegel i

Fields of papers citing papers by Udo Schlegel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Udo Schlegel

Since Specialization
Citations

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

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2025