Fabian Mörchen

1.0k total citations
19 papers, 595 citations indexed

About

Fabian Mörchen is a scholar working on Signal Processing, Information Systems and Artificial Intelligence. According to data from OpenAlex, Fabian Mörchen has authored 19 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Signal Processing, 10 papers in Information Systems and 7 papers in Artificial Intelligence. Recurrent topics in Fabian Mörchen's work include Data Mining Algorithms and Applications (10 papers), Time Series Analysis and Forecasting (7 papers) and Data Management and Algorithms (5 papers). Fabian Mörchen is often cited by papers focused on Data Mining Algorithms and Applications (10 papers), Time Series Analysis and Forecasting (7 papers) and Data Management and Algorithms (5 papers). Fabian Mörchen collaborates with scholars based in Germany, United States and Netherlands. Fabian Mörchen's co-authors include Alfred Ultsch, Dmitriy Fradkin, Toon Calders, Hoang Thanh Lam, Christian Stamm, Michael Thies, Olaf Hoos, Steffen Renner, Sebastian Radestock and Julien Étienne and has published in prestigious journals such as Journal of Chemical Information and Modeling, IEEE Transactions on Audio Speech and Language Processing and Data Mining and Knowledge Discovery.

In The Last Decade

Fabian Mörchen

19 papers receiving 546 citations

Peers

Fabian Mörchen
Fabian Mörchen
Citations per year, relative to Fabian Mörchen Fabian Mörchen (= 1×) peers Brijnesh J. Jain

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).

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.

Co-authorship network of co-authors of Fabian Mörchen

This figure shows the co-authorship network connecting the top 25 collaborators of Fabian Mörchen. A scholar is included among the top collaborators of Fabian Mörchen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fabian Mörchen. Fabian Mörchen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Fradkin, Dmitriy & Fabian Mörchen. (2015). Mining sequential patterns for classification. Knowledge and Information Systems. 45(3). 731–749. 49 indexed citations
2.
Lam, Hoang Thanh, Fabian Mörchen, Dmitriy Fradkin, & Toon Calders. (2013). Mining Compressing Sequential Patterns. Statistical Analysis and Data Mining The ASA Data Science Journal. 7(1). 34–52. 67 indexed citations
3.
Lam, Hoang Thanh, Toon Calders, Jie Yang, Fabian Mörchen, & Dmitriy Fradkin. (2013). Zips. TU/e Research Portal. 54–62. 2 indexed citations
4.
Mörchen, Fabian, et al.. (2012). Mining compressing sequential problems. TU/e Research Portal (Eindhoven University of Technology). 1 indexed citations
5.
Lam, Hoang Thanh, Fabian Mörchen, Dmitriy Fradkin, & Toon Calders. (2012). Mining Compressing Sequential Patterns. 319–330. 16 indexed citations
6.
Mörchen, Fabian, et al.. (2008). Anticipating annotations and emerging trends in biomedical literature. 954–962. 36 indexed citations
7.
Renner, Steffen, et al.. (2008). Maximum Common Binding Modes (MCBM):  Consensus Docking Scoring Using Multiple Ligand Information and Interaction Fingerprints. Journal of Chemical Information and Modeling. 48(2). 319–332. 36 indexed citations
8.
Mörchen, Fabian & Alfred Ultsch. (2007). Efficient mining of understandable patterns from multivariate interval time series. Data Mining and Knowledge Discovery. 15(2). 181–215. 60 indexed citations
9.
Weihs, Claus, Uwe Ligges, Fabian Mörchen, & Daniel Müllensiefen. (2007). Classification in music research. Advances in Data Analysis and Classification. 1(3). 255–291. 21 indexed citations
10.
Mörchen, Fabian. (2007). Unsupervised pattern mining from symbolic temporal data. ACM SIGKDD Explorations Newsletter. 9(1). 41–55. 43 indexed citations
11.
Mörchen, Fabian. (2006). Algorithms for time series knowledge mining.. Knowledge Discovery and Data Mining. 668–673. 7 indexed citations
12.
Mörchen, Fabian, et al.. (2006). An algorithm for fast and reliable ESOM learning. The European Symposium on Artificial Neural Networks. 131–136. 8 indexed citations
13.
Mörchen, Fabian. (2006). A better tool than Allen's relations for expressing temporal knowledge in interval data. 23 indexed citations
14.
Mörchen, Fabian. (2006). Time Series Knowledge Mining. 38 indexed citations
15.
Mörchen, Fabian & Alfred Ultsch. (2005). Optimizing time series discretization for knowledge discovery. 660–665. 69 indexed citations
16.
Mörchen, Fabian, et al.. (2005). Modeling timbre distance with temporal statistics from polyphonic music. IEEE Transactions on Audio Speech and Language Processing. 14(1). 81–90. 41 indexed citations
17.
Mörchen, Fabian, et al.. (2005). Databionic Visualization Of Music Collections According To Perceptual Distance.. Zenodo (CERN European Organization for Nuclear Research). 396–403. 46 indexed citations
18.
Mörchen, Fabian, Alfred Ultsch, & Olaf Hoos. (2005). Extracting interpretable muscle activation patterns with time series knowledge mining. International Journal of Knowledge-based and Intelligent Engineering Systems. 9(3). 197–208. 28 indexed citations
19.
Mörchen, Fabian. (2004). Analysis of Speedup as Function of Block Size and Cluster Size for Parallel Feed-Forward Neural Networks on a Beowulf Cluster. IEEE Transactions on Neural Networks. 15(2). 515–527. 4 indexed citations

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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