Gero Szepannek

14 papers and 200 indexed citations i.

About

Gero Szepannek is a scholar working on Artificial Intelligence, Signal Processing and Accounting. According to data from OpenAlex, Gero Szepannek has authored 14 papers receiving a total of 200 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 3 papers in Signal Processing and 2 papers in Accounting. Recurrent topics in Gero Szepannek’s work include Explainable Artificial Intelligence (XAI) (5 papers), Bayesian Methods and Mixture Models (3 papers) and Advanced Clustering Algorithms Research (3 papers). Gero Szepannek is often cited by papers focused on Explainable Artificial Intelligence (XAI) (5 papers), Bayesian Methods and Mixture Models (3 papers) and Advanced Clustering Algorithms Research (3 papers). Gero Szepannek collaborates with scholars based in Germany, Poland and The Netherlands. Gero Szepannek's co-authors include Michael Bücker, Przemysław Biecek, Matthias Gehrke, Claus Weihs, Adalbert Wilhelm, Bernd Bischl, Werner Gronau and Frank Klefenz and has published in prestigious journals such as Journal of the Operational Research Society, Engineering Applications of Artificial Intelligence and Journal of Classification.

In The Last Decade

Co-authorship network of co-authors of Gero Szepannek i

Fields of papers citing papers by Gero Szepannek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gero Szepannek

Since Specialization
Citations

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