Georg Krempl

About

Georg Krempl is a scholar working on Artificial Intelligence, Signal Processing and Education. According to data from OpenAlex, Georg Krempl has authored 11 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Signal Processing and 1 paper in Education. Recurrent topics in Georg Krempl’s work include Adaptation to Concept Drift in Data Streams (5 papers), Machine Learning and Data Classification (5 papers) and Machine Learning and Algorithms (3 papers). Georg Krempl is often cited by papers focused on Adaptation to Concept Drift in Data Streams (5 papers), Machine Learning and Data Classification (5 papers) and Machine Learning and Algorithms (3 papers). Georg Krempl collaborates with scholars based in Germany, The Netherlands and Austria. Georg Krempl's co-authors include Vincent Lemaire, Myra Spiliopoulou, Jerzy Stefanowski, Indrė Žliobaitė, Thilo Noack, Ammar Shaker, Dariusz Brzeziński, Mark Last, Eyke Hüllermeier and Michael R. Berthold and has published in prestigious journals such as Expert Systems with Applications, Machine Learning and Computational Statistics & Data Analysis.

In The Last Decade

Co-authorship network of co-authors of Georg Krempl i

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Fields of papers citing papers by Georg Krempl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Georg Krempl

Since Specialization

Citations

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