Kai Diethelm

59 papers and 10.0k indexed citations i.

About

Kai Diethelm is a scholar working on Modeling and Simulation, Numerical Analysis and Applied Mathematics. According to data from OpenAlex, Kai Diethelm has authored 59 papers receiving a total of 10.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Modeling and Simulation, 37 papers in Numerical Analysis and 33 papers in Applied Mathematics. Recurrent topics in Kai Diethelm’s work include Fractional Differential Equations Solutions (39 papers), Iterative Methods for Nonlinear Equations (23 papers) and Mathematical functions and polynomials (20 papers). Kai Diethelm is often cited by papers focused on Fractional Differential Equations Solutions (39 papers), Iterative Methods for Nonlinear Equations (23 papers) and Mathematical functions and polynomials (20 papers). Kai Diethelm collaborates with scholars based in Germany, United Kingdom and United States. Kai Diethelm's co-authors include Neville J. Ford, Alan D. Freed, Yu. Luchko, Guido Walz, Roberto Garrappa, Martin Stynes, Judith M. Ford, Andrea Giusti, Hoang The Tuan and Vasily E. Tarasov and has published in prestigious journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and Lecture notes in mathematics.

In The Last Decade

Co-authorship network of co-authors of Kai Diethelm i

Fields of papers citing papers by Kai Diethelm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kai Diethelm

Since Specialization
Citations

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