Patrick Schäfer
Impact in
- Signal Processing top 1%
- Time Series Analysis and Forecasting
- Music and Audio Processing
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications
- Advanced Text Analysis Techniques
Papers in
-
- Time Series Analysis and Forecasting 16
- Music and Audio Processing 8
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- Distributed and Parallel Computing Systems 8
- Advanced Database Systems and Queries 3
- Co-authors
- Ulf Leser (11 shared papers)Sebastian Breuers (9 shared papers)Thomas Steinke (10 shared papers)Jens Krüger (10 shared papers)Richard Grunzke (10 shared papers)Sandra Gesing (10 shared papers)R. Müller-Pfefferkorn (9 shared papers)Sonja Herres‐Pawlis (10 shared papers)
- Journals
- Journal of Cheminformatics (4 papers)Data Mining and Knowledge Discovery (4 papers)Proceedings of the VLDB Endowment (2 papers)Archives of Biochemistry and Biophysics (1 paper)Machine Learning (1 paper)
- Partner nations
- GermanyBelgiumUnited States
In The Last Decade
Patrick Schäfer
28 papers receiving 948 citations
Patrick Schäfer's Hit Papers
Peers
Comparison fields: 5 of 122
- Signal Processing 663
- Artificial Intelligence 555
- Information Systems and Management 70
- Aging 12
- Economics and Econometrics 151
Countries citing papers authored by Patrick Schäfer
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
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-authors
The 25 scholars most cited alongside Patrick Schäfer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The BOSS is concerned with time series classification in the presence of noise Hit paper breakdown → | 2014 | 392 |
| 2 | 2012 | 120 | |
| 3 | 2015 | 105 | |
| 4 | 2014 | 51 | |
| 5 | 2020 | 41 | |
| 6 | 2013 | 29 | |
| 7 | 2023 | 28 | |
| 8 | 2009 | 28 | |
| 9 | 2018 | 24 | |
| 10 | 2013 | 20 | |
| 11 | 2021 | 19 | |
| 12 | 2023 | 18 | |
| 13 | Classifying Land Cover from Satellite Images Using Time Series Analytics. | 2018 | 13 |
| 14 | 2022 | 12 | |
| 15 | 2019 | 11 | |
| 16 | 2014 | 10 | |
| 17 | 2023 | 9 | |
| 18 | 2011 | 7 | |
| 19 | A Data Driven Science Gateway for Computational Workflows | 2012 | 7 |
| 20 | 2019 | 5 |
About Patrick Schäfer
Patrick Schäfer is a scholar working on Signal Processing, Computer Networks and Communications, Artificial Intelligence, Information Systems and Management and Economics and Econometrics, having authored 31 papers that have together received 970 indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (16 papers), Scientific Computing and Data Management (10 papers), Music and Audio Processing (8 papers), Distributed and Parallel Computing Systems (8 papers), Anomaly Detection Techniques and Applications (7 papers), Complex Systems and Time Series Analysis (5 papers), Advanced Text Analysis Techniques (4 papers) and Advanced Database Systems and Queries (3 papers). The work is most often cited by research in Signal Processing (663 citations), Artificial Intelligence (555 citations), Information Systems and Management (70 citations), Aging (12 citations) and Economics and Econometrics (151 citations). Patrick Schäfer has collaborated with scholars based in Germany, Belgium and United States. Frequent co-authors include Ulf Leser, Sebastian Breuers, Thomas Steinke, Jens Krüger, Richard Grunzke, Sandra Gesing, R. Müller-Pfefferkorn, Sonja Herres‐Pawlis, Martin Müller and Christian E. W. Steinberg. Their work appears in journals such as Journal of Cheminformatics, Data Mining and Knowledge Discovery, Proceedings of the VLDB Endowment, Archives of Biochemistry and Biophysics and Machine Learning.
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.