Konstantin Eckle

About

Konstantin Eckle is a scholar working on Artificial Intelligence, Statistics and Probability and Computer Vision and Pattern Recognition. According to data from OpenAlex, Konstantin Eckle has authored 4 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Statistics and Probability and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Konstantin Eckle’s work include Bayesian Methods and Mixture Models (3 papers), Statistical Methods and Inference (2 papers) and Neural Networks and Applications (1 paper). Konstantin Eckle is often cited by papers focused on Bayesian Methods and Mixture Models (3 papers), Statistical Methods and Inference (2 papers) and Neural Networks and Applications (1 paper). Konstantin Eckle collaborates with scholars based in The Netherlands, Germany and New Zealand. Konstantin Eckle's co-authors include Johannes Schmidt-Hieber, Holger Dette, Nicolai Bissantz and S. Einecke and has published in prestigious journals such as Neural Networks, Annals of the Institute of Statistical Mathematics and Electronic Journal of Statistics.

In The Last Decade

Co-authorship network of co-authors of Konstantin Eckle i

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Fields of papers citing papers by Konstantin Eckle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Konstantin Eckle

Since Specialization

Citations

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