Fabian Moerchen

905 total citations
26 papers, 590 citations indexed

About

Fabian Moerchen is a scholar working on Signal Processing, Information Systems and Artificial Intelligence. According to data from OpenAlex, Fabian Moerchen has authored 26 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Signal Processing, 12 papers in Information Systems and 7 papers in Artificial Intelligence. Recurrent topics in Fabian Moerchen's work include Data Mining Algorithms and Applications (11 papers), Time Series Analysis and Forecasting (7 papers) and Rough Sets and Fuzzy Logic (6 papers). Fabian Moerchen is often cited by papers focused on Data Mining Algorithms and Applications (11 papers), Time Series Analysis and Forecasting (7 papers) and Rough Sets and Fuzzy Logic (6 papers). Fabian Moerchen collaborates with scholars based in United States, Germany and Hong Kong. Fabian Moerchen's co-authors include Dmitriy Fradkin, Zhuang Wang, James H. Harrison, Miloš Hauskrecht, Iyad Batal, Liang Lan, Kai Zhang, Alfred Ultsch, Hassan Malik and Ingo Mierswa and has published in prestigious journals such as ACM Transactions on Database Systems, Data Mining and Knowledge Discovery and Knowledge and Information Systems.

In The Last Decade

Fabian Moerchen

25 papers receiving 552 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Fabian Moerchen United States	10	290	222	194	105	101	26	590
Trung Le Australia	16	431 1.5×	172 0.8×	253 1.3×	238 2.3×	134 1.3×	74	820
Tapio Elomaa Finland	12	375 1.3×	73 0.3×	150 0.8×	97 0.9×	42 0.4×	39	564
S. Kanmani India	12	311 1.1×	88 0.4×	392 2.0×	88 0.8×	136 1.3×	62	761
Eddy Mayoraz Switzerland	8	287 1.0×	228 1.0×	138 0.7×	252 2.4×	30 0.3×	24	673
Martin Pfeifle Germany	9	308 1.1×	296 1.3×	148 0.8×	139 1.3×	101 1.0×	29	545
Ning Ruan United States	13	175 0.6×	367 1.7×	77 0.4×	272 2.6×	345 3.4×	28	689
Ali Miri Canada	20	570 2.0×	154 0.7×	540 2.8×	149 1.4×	448 4.4×	113	1.2k
Cungen Cao China	13	378 1.3×	57 0.3×	93 0.5×	47 0.4×	65 0.6×	89	592
A.L.P. Chen Taiwan	16	242 0.8×	277 1.2×	142 0.7×	236 2.2×	211 2.1×	46	807
Rahil Hosseini Iran	11	244 0.8×	243 1.1×	127 0.7×	118 1.1×	220 2.2×	45	661

Countries citing papers authored by Fabian Moerchen

Since Specialization

Citations

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

Fields of papers citing papers by Fabian Moerchen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabian Moerchen

This figure shows the co-authorship network connecting the top 25 collaborators of Fabian Moerchen. A scholar is included among the top collaborators of Fabian Moerchen 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 Moerchen. Fabian Moerchen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Coviello, Emanuele, Katherine Ellis, & Fabian Moerchen. (2021). A scalable model for online contextual music recommendations. 2 indexed citations

Batal, Iyad, Gregory F. Cooper, Dmitriy Fradkin, et al.. (2015). An efficient pattern mining approach for event detection in multivariate temporal data. Knowledge and Information Systems. 46(1). 115–150. 33 indexed citations

Fradkin, Dmitriy, et al.. (2014). Log-based predictive maintenance. 1867–1876. 122 indexed citations

Tatti, Nikolaj, Fabian Moerchen, & Toon Calders. (2014). Finding Robust Itemsets under Subsampling. ACM Transactions on Database Systems. 39(3). 1–27. 9 indexed citations

Zhang, Kai, Liang Lan, Zhuang Wang, & Fabian Moerchen. (2012). Scaling up Kernel SVM on Limited Resources: A Low-rank Linearization Approach. International Conference on Artificial Intelligence and Statistics. 1425–1434. 77 indexed citations

Zhang, Kai, Liang Lan, Jun Liu, Andreas Rauber, & Fabian Moerchen. (2012). Inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method. arXiv (Cornell University). 131–138. 4 indexed citations

Batal, Iyad, Dmitriy Fradkin, James H. Harrison, Fabian Moerchen, & Miloš Hauskrecht. (2012). Mining recent temporal patterns for event detection in multivariate time series data. PubMed. 2012. 280–288. 110 indexed citations

Tatti, Nikolaj & Fabian Moerchen. (2011). Finding Robust Itemsets under Subsampling. 7. 705–714. 3 indexed citations

Moerchen, Fabian, Michael Thies, & Alfred Ultsch. (2010). Efficient mining of all margin-closed itemsets with applications in temporal knowledge discovery and classification by compression. Knowledge and Information Systems. 29(1). 55–80. 14 indexed citations

10.

Malik, Hassan, John R. Kender, Dmitriy Fradkin, & Fabian Moerchen. (2010). Hierarchical document clustering using local patterns. Data Mining and Knowledge Discovery. 21(1). 153–185. 19 indexed citations

11.

Moerchen, Fabian. (2010). Temporal pattern mining in symbolic time point and time interval data. 1–1. 7 indexed citations

12.

Moerchen, Fabian & Dmitriy Fradkin. (2010). Robust mining of time intervals with semi-interval partial order patterns. 315–326. 48 indexed citations

13.

Yu, Yi, et al.. (2009). MULTI-VERSION MUSIC SEARCH USING ACOUSTIC FEATURE UNION AND EXACT SOFT MAPPING. International Journal of Semantic Computing. 3(2). 209–234. 4 indexed citations

14.

Moerchen, Fabian. (2009). Tutorial CIDM-T Temporal pattern mining in symbolic time point and time interval data. xiv–xiv. 4 indexed citations

15.

Moerchen, Fabian, et al.. (2008). Emerging trend prediction in biomedical literature.. PubMed. 485–9. 8 indexed citations

16.

Yu, Yi, et al.. (2008). COSIN. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 987–988.

17.

Keogh, Eamonn, Christian R. Shelton, & Fabian Moerchen. (2007). First International Workshop and Challenge on Time Series Classification. 1–1. 4 indexed citations

18.

Moerchen, Fabian, et al.. (2007). Any-time clustering of high frequency news streams. 8 indexed citations

19.

Moerchen, Fabian, Ingo Mierswa, & Alfred Ultsch. (2006). Understandable models Of music collections based on exhaustive feature generation with temporal statistics. 882–891. 18 indexed citations

20.

Moerchen, Fabian. (2006). Algorithms for time series knowledge mining. 668–673. 63 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.

Explore authors with similar magnitude of impact