Fabian Mörchen

About

Fabian Mörchen is a scholar working on Signal Processing, Artificial Intelligence and Information Systems. According to data from OpenAlex, Fabian Mörchen has authored 13 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Signal Processing, 5 papers in Artificial Intelligence and 5 papers in Information Systems. Recurrent topics in Fabian Mörchen’s work include Time Series Analysis and Forecasting (5 papers), Data Mining Algorithms and Applications (5 papers) and Music and Audio Processing (4 papers). Fabian Mörchen is often cited by papers focused on Time Series Analysis and Forecasting (5 papers), Data Mining Algorithms and Applications (5 papers) and Music and Audio Processing (4 papers). Fabian Mörchen collaborates with scholars based in Germany, United States and United Kingdom. Fabian Mörchen's co-authors include Alfred Ultsch, Dmitriy Fradkin, Toon Calders, Hoang Thanh Lam, Steffen Renner, Sebastian Radestock, Michael Thies, Olaf Hoos, Christian Stamm and Claus Weihs and has published in prestigious journals such as Journal of Chemical Information and Modeling, Data Mining and Knowledge Discovery and IEEE Transactions on Audio Speech and Language Processing.

In The Last Decade

Co-authorship network of co-authors of Fabian Mörchen i

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Fields of papers citing papers by Fabian Mörchen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fabian Mörchen

Since Specialization

Citations

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