Karsten Verbeurgt

515 total citations
3 papers, 205 citations indexed

About

Karsten Verbeurgt is a scholar working on Computer Networks and Communications, History and Philosophy of Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Karsten Verbeurgt has authored 3 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Computer Networks and Communications, 1 paper in History and Philosophy of Science and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Karsten Verbeurgt's work include Imbalanced Data Classification Techniques (1 paper), Music Technology and Sound Studies (1 paper) and Epistemology, Ethics, and Metaphysics (1 paper). Karsten Verbeurgt is often cited by papers focused on Imbalanced Data Classification Techniques (1 paper), Music Technology and Sound Studies (1 paper) and Epistemology, Ethics, and Metaphysics (1 paper). Karsten Verbeurgt collaborates with scholars based in Canada and United States. Karsten Verbeurgt's co-authors include Paul Thagard and has published in prestigious journals such as Cognitive Science, Lecture notes in computer science and Conference on Learning Theory.

In The Last Decade

Karsten Verbeurgt

3 papers receiving 181 citations

Peers

Karsten Verbeurgt

AI

CN

CTM

DEP

SP

Jesús M. Larrazabal Spain

Joseph Corneli United Kingdom

Achille C. Varzi

Patrick Langley United States

Yingrui Yang United States

Rüdi Lutz United Kingdom

Graham White United Kingdom

Thomas Icard United States

Donald W. Dearholt United States

Justine Kao United States

Jesús M. Larrazabal Spain

Karsten Verbeurgt

174 ×1.7

AI

28 ×0.6

CN

54 ×1.6

CTM

13 ×0.6

DEP

15 ×0.8

SP

Citations per year, relative to Karsten Verbeurgt Karsten Verbeurgt (= 1×) peers Jesús M. Larrazabal

Countries citing papers authored by Karsten Verbeurgt

Since Specialization

Citations

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

Fields of papers citing papers by Karsten Verbeurgt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karsten Verbeurgt

This figure shows the co-authorship network connecting the top 25 collaborators of Karsten Verbeurgt. A scholar is included among the top collaborators of Karsten Verbeurgt 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 Karsten Verbeurgt. Karsten Verbeurgt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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3 of 3 papers shown

1.

Verbeurgt, Karsten, et al.. (2004). Extracting Patterns in Music for Composition via Markov Chains. Lecture notes in computer science. 1123–1132. 12 indexed citations

2.

Thagard, Paul & Karsten Verbeurgt. (1998). Coherence as Constraint Satisfaction. Cognitive Science. 22(1). 1–24. 148 indexed citations

3.

Verbeurgt, Karsten. (1990). Learning DNF under the uniform distribution in quasi-polynomial time. Conference on Learning Theory. 314–326. 45 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.

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