Jürgen Lehn

18 papers and 310 indexed citations i.

About

Jürgen Lehn is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistics and Probability. According to data from OpenAlex, Jürgen Lehn has authored 18 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Statistics and Probability. Recurrent topics in Jürgen Lehn’s work include Chaos-based Image/Signal Encryption (4 papers), Probabilistic and Robust Engineering Design (4 papers) and High Temperature Alloys and Creep (3 papers). Jürgen Lehn is often cited by papers focused on Chaos-based Image/Signal Encryption (4 papers), Probabilistic and Robust Engineering Design (4 papers) and High Temperature Alloys and Creep (3 papers). Jürgen Lehn collaborates with scholars based in Germany, Türkiye and China. Jürgen Lehn's co-authors include Alev Topuzoğlu, Franz Gustav Kollmann, Stefan Schwan, Andreas Rößler, Tyler M. Seibert and Jürgen Eichenauer‐Herrmann and has published in prestigious journals such as Mathematics of Computation, International Journal of Plasticity and Journal of Computational and Applied Mathematics.

In The Last Decade

Co-authorship network of co-authors of Jürgen Lehn i

Fields of papers citing papers by Jürgen Lehn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jürgen Lehn

Since Specialization
Citations

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