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 14
- Music and Audio Processing 6
- Data Management and Algorithms 3
-
- Distributed and Parallel Computing Systems 8
- Co-authors
- Ulf Leser (11 shared papers)Sonja Herres‐Pawlis (10 shared papers)Sandra Gesing (10 shared papers)R. Müller-Pfefferkorn (10 shared papers)Thomas Steinke (10 shared papers)Jens Krüger (10 shared papers)Richard Grunzke (10 shared papers)Sebastian Breuers (9 shared papers)
- Journals
- Data Mining and Knowledge Discovery (4 papers)Journal of Cheminformatics (4 papers)Proceedings of the VLDB Endowment (2 papers)Machine Learning (1 paper)Archives of Biochemistry and Biophysics (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Patrick Schäfer
26 papers receiving 769 citations
Patrick Schäfer's Hit Papers
Peers
Comparison fields: 5 of 119
- Signal Processing 533
- Artificial Intelligence 451
- Information Systems and Management 67
- Aging 11
- Economics and Econometrics 119
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 27 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 | 323 |
| 2 | 2012 | 96 | |
| 3 | 2015 | 84 | |
| 4 | 2014 | 49 | |
| 5 | 2020 | 35 | |
| 6 | 2013 | 28 | |
| 7 | 2009 | 27 | |
| 8 | 2023 | 19 | |
| 9 | 2013 | 17 | |
| 10 | 2021 | 16 | |
| 11 | 2023 | 14 | |
| 12 | Classifying Land Cover from Satellite Images Using Time Series Analytics. | 2018 | 12 |
| 13 | 2022 | 11 | |
| 14 | 2019 | 10 | |
| 15 | 2023 | 8 | |
| 16 | 2011 | 7 | |
| 17 | A Data Driven Science Gateway for Computational Workflows | 2012 | 7 |
| 18 | 2019 | 5 | |
| 19 | 2012 | 4 | |
| 20 | 2011 | 3 |
About Patrick Schäfer
Patrick Schäfer is a scholar working on Signal Processing, Computer Networks and Communications, Information Systems and Management, Artificial Intelligence and Economics and Econometrics, having authored 27 papers that have together received 785 indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (14 papers), Scientific Computing and Data Management (10 papers), Distributed and Parallel Computing Systems (8 papers), Anomaly Detection Techniques and Applications (7 papers), Music and Audio Processing (6 papers), Complex Systems and Time Series Analysis (5 papers), Advanced Text Analysis Techniques (3 papers) and Data Management and Algorithms (3 papers). The work is most often cited by research in Signal Processing (533 citations), Artificial Intelligence (451 citations), Information Systems and Management (67 citations), Aging (11 citations) and Economics and Econometrics (119 citations). Patrick Schäfer has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Ulf Leser, Sonja Herres‐Pawlis, Sandra Gesing, R. Müller-Pfefferkorn, Thomas Steinke, Jens Krüger, Richard Grunzke, Sebastian Breuers, Lars Packschies and Ralph Menzel. Their work appears in journals such as Data Mining and Knowledge Discovery, Journal of Cheminformatics, Proceedings of the VLDB Endowment, Machine Learning and Archives of Biochemistry and Biophysics.
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.