Ralph Krieger

About

Ralph Krieger is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ralph Krieger has authored 5 papers receiving a total of 77 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Signal Processing and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ralph Krieger’s work include Time Series Analysis and Forecasting (3 papers), Anomaly Detection Techniques and Applications (2 papers) and Video Analysis and Summarization (1 paper). Ralph Krieger is often cited by papers focused on Time Series Analysis and Forecasting (3 papers), Anomaly Detection Techniques and Applications (2 papers) and Video Analysis and Summarization (1 paper). Ralph Krieger collaborates with scholars based in Germany and Denmark. Ralph Krieger's co-authors include Ira Assent, Thomas Seidl, Hardy Kremer, Emmanuel Müller, Boris Glavic, David Ruau, Martin Hofmann‐Apitius, Heinz‐Theodor Mevissen and Martin Zenke and has published in prestigious journals such as BMC Bioinformatics, Proceedings of the VLDB Endowment and Knowledge and Information Systems.

In The Last Decade

Co-authorship network of co-authors of Ralph Krieger i

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Fields of papers citing papers by Ralph Krieger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ralph Krieger

Since Specialization

Citations

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