Patrick Schäfer

1.5k total citations · 1 hit paper
27 papers, 785 citations indexed

About

Patrick Schäfer is a scholar working on Signal Processing, Computer Networks and Communications and Information Systems and Management. According to data from OpenAlex, Patrick Schäfer has authored 27 papers receiving a total of 785 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Signal Processing, 10 papers in Computer Networks and Communications and 10 papers in Information Systems and Management. Recurrent topics in Patrick Schäfer's work include Time Series Analysis and Forecasting (14 papers), Scientific Computing and Data Management (10 papers) and Distributed and Parallel Computing Systems (8 papers). Patrick Schäfer is often cited by papers focused on Time Series Analysis and Forecasting (14 papers), Scientific Computing and Data Management (10 papers) and Distributed and Parallel Computing Systems (8 papers). Patrick Schäfer collaborates with scholars based in Germany, United Kingdom and United States. Patrick Schäfer's co-authors include Ulf Leser, R. Müller-Pfefferkorn, Sonja Herres‐Pawlis, Thomas Steinke, Jens Krüger, Sandra Gesing, Richard Grunzke, Sebastian Breuers, Lars Packschies and Oliver Kohlbacher and has published in prestigious journals such as Archives of Biochemistry and Biophysics, Journal of Chemical Theory and Computation and Machine Learning.

In The Last Decade

Patrick Schäfer

26 papers receiving 769 citations

Hit Papers

The BOSS is concerned with time series classification in ... 2014 2026 2018 2022 2014 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The BOSS is concerned with time series classification in the presence of noise
    2014 323 citations Patrick Schäfer Data Mining and Knowledge Discovery profile →

Peers

Patrick Schäfer
Martin Wistuba Germany
Nurjahan Begum United States
Răzvan Andonie United States
Surojit Chatterjee United States
Xiaoye Miao China
Mustafa Gökçe Baydoğan Türkiye
Alexander Hall Switzerland
Alexandre Termier France
Songwen Pei China
Ming Dong United States
Martin Wistuba Germany
Patrick Schäfer
Citations per year, relative to Patrick Schäfer Patrick Schäfer (= 1×) peers Martin Wistuba

Countries citing papers authored by Patrick Schäfer

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Schäfer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick Schäfer

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

All Works

20 of 20 papers shown
1.
Schäfer, Patrick & Ulf Leser. (2024). Discovering Leitmotifs in Multidimensional Time Series. Proceedings of the VLDB Endowment. 18(2). 377–389. 2 indexed citations
2.
Schäfer, Patrick, et al.. (2023). Window Size Selection in Unsupervised Time Series Analytics: A Review and Benchmark. Lecture notes in computer science. 83–101. 8 indexed citations
3.
Schäfer, Patrick & Ulf Leser. (2023). WEASEL 2.0: a random dilated dictionary transform for fast, accurate and memory constrained time series classification. Machine Learning. 112(12). 4763–4788. 19 indexed citations
4.
Schäfer, Patrick, et al.. (2023). ClaSP: parameter-free time series segmentation. Data Mining and Knowledge Discovery. 37(3). 1262–1300. 14 indexed citations
5.
Schäfer, Patrick & Ulf Leser. (2022). Motiflets. Proceedings of the VLDB Endowment. 16(4). 725–737. 11 indexed citations
6.
Schäfer, Patrick, et al.. (2021). ClaSP - Time Series Segmentation. 1578–1587. 16 indexed citations
7.
Schäfer, Patrick, et al.. (2019). BB-Tree: A practical and efficient main-memory index structure for multidimensional workloads. Movebank. 5 indexed citations
8.
Schäfer, Patrick, Dirk Pflugmacher, Patrick Hostert, & Ulf Leser. (2018). Classifying Land Cover from Satellite Images Using Time Series Analytics.. EDBT/ICDT Workshops. 10–15. 12 indexed citations
9.
Schäfer, Patrick & Ulf Leser. (2017). Benchmarking Univariate Time Series Classifiers.. BTW. 289–298. 1 indexed citations
10.
Schäfer, Patrick. (2014). Experiencing the Shotgun Distance for Time Series Analysis. 7(1). 3–25.
11.
Krüger, Jens, Richard Grunzke, Sandra Gesing, et al.. (2014). The MoSGrid Science Gateway – A Complete Solution for Molecular Simulations. Journal of Chemical Theory and Computation. 10(6). 2232–2245. 49 indexed citations
12.
Schäfer, Patrick. (2014). The BOSS is concerned with time series classification in the presence of noise. Data Mining and Knowledge Discovery. 29(6). 1505–1530. 323 indexed citations breakdown →
13.
Grunzke, Richard, Sebastian Breuers, Sandra Gesing, et al.. (2013). Standards‐based metadata management for molecular simulations. Concurrency and Computation Practice and Experience. 26(10). 1744–1759. 28 indexed citations
14.
Packschies, Lars, Dirk Blunk, Sebastian Breuers, et al.. (2013). The MoSGrid - e-science gateway: molecular simulations in a distributed computing environment. Journal of Cheminformatics. 5(S1). 17 indexed citations
15.
Grunzke, Richard, Dirk Blunk, Sebastian Breuers, et al.. (2012). A Data Driven Science Gateway for Computational Workflows. JuSER (Forschungszentrum Jülich). 35–49. 7 indexed citations
16.
Gesing, Sandra, Péter Kacsuk, Miklós Kozlovszky, et al.. (2011). A Science Gateway for Molecular Simulations. RWTH Publications (RWTH Aachen). 3 indexed citations
17.
Blunk, Dirk, Sebastian Breuers, André Brinkmann, et al.. (2011). MoSGrid: Progress of Workflow driven Chemical Simulations. 829. 1 indexed citations
18.
Blunk, Dirk, Sebastian Breuers, André Brinkmann, et al.. (2011). MoSGrid – a molecular simulation grid as a new tool in computational chemistry, biology and material science. Journal of Cheminformatics. 3(S1). 2 indexed citations
19.
Krüger, Jens, Dirk Blunk, Sebastian Breuers, et al.. (2011). Molecular simulation grid. Journal of Cheminformatics. 3(S1). 7 indexed citations
20.
Schäfer, Patrick, Martin Müller, Angela Krüger, Christian E. W. Steinberg, & Ralph Menzel. (2009). Cytochrome P450-dependent metabolism of PCB52 in the nematode Caenorhabditis elegans. Archives of Biochemistry and Biophysics. 488(1). 60–68. 27 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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