Franz J. Király

34 papers and 1.0k indexed citations i.

About

Franz J. Király is a scholar working on Artificial Intelligence, Signal Processing and Computational Mechanics. According to data from OpenAlex, Franz J. Király has authored 34 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Signal Processing and 4 papers in Computational Mechanics. Recurrent topics in Franz J. Király’s work include Blind Source Separation Techniques (5 papers), Sparse and Compressive Sensing Techniques (4 papers) and Explainable Artificial Intelligence (XAI) (4 papers). Franz J. Király is often cited by papers focused on Blind Source Separation Techniques (5 papers), Sparse and Compressive Sensing Techniques (4 papers) and Explainable Artificial Intelligence (XAI) (4 papers). Franz J. Király collaborates with scholars based in United Kingdom, Germany and United States. Franz J. Király's co-authors include Klaus‐Robert Müller, Frank C. Meinecke, Paul von Bünau, Matthias S. Treder, Sarah A. Redden, Jon E. Grant, Dan J. Stein, Sebastian J. Vollmer, Konstantinos Ioannidis and Samuel R. Chamberlain and has published in prestigious journals such as Physical Review Letters, Journal of Clinical Oncology and Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Franz J. Király i

Fields of papers citing papers by Franz J. Király

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Franz J. Király. 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 Franz J. Király. The network helps show where Franz J. Király may publish in the future.

Countries citing papers authored by Franz J. Király

Since Specialization
Citations

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