Patrick Schäfer
Impact in
- Signal Processing top 0.5%
- Time Series Analysis and Forecasting
- Data Management and Algorithms
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- Scientific Computing and Data Management
Papers in
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- Time Series Analysis and Forecasting 16
- Data Management and Algorithms 2
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- Scientific Computing and Data Management 7
- Co-authors
- Ulf Leser (12 shared papers)Richard Grunzke (10 shared papers)Jens Krüger (10 shared papers)Thomas Steinke (10 shared papers)Sandra Gesing (10 shared papers)R. Müller-Pfefferkorn (10 shared papers)Sebastian Breuers (9 shared papers)Sonja Herres‐Pawlis (10 shared papers)
In The Last Decade
Patrick Schäfer
27 papers receiving 1k citations
Patrick Schäfer's Hit Papers
Peers
Comparison fields: 5 of 79
- Signal Processing 605
- Information Systems and Management 62
- Computer Networks and Communications 114
- Medical Laboratory Technology 3
- Artificial Intelligence 104
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 30 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 | 415 |
| 2 | 2012 | 129 | |
| 3 | 2015 | 109 | |
| 4 | 2014 | 52 | |
| 5 | 2020 | 46 | |
| 6 | 2012 | 41 | |
| 7 | 2023 | 30 | |
| 8 | 2013 | 27 | |
| 9 | 2021 | 23 | |
| 10 | 2023 | 22 | |
| 11 | 2013 | 20 | |
| 12 | 2023 | 14 | |
| 13 | Classifying Land Cover from Satellite Images Using Time Series Analytics. | 2018 | 13 |
| 14 | 2022 | 13 | |
| 15 | 2019 | 12 | |
| 16 | 2014 | 10 | |
| 17 | 2018 | 8 | |
| 18 | 2011 | 7 | |
| 19 | A Data Driven Science Gateway for Computational Workflows | 2012 | 6 |
| 20 | 2011 | 4 |
About Patrick Schäfer
Patrick Schäfer is a scholar working on Signal Processing, Information Systems and Management, Computer Networks and Communications, Media Technology and Ecology, having authored 30 papers that have together received 1k indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (16 papers), Distributed and Parallel Computing Systems (10 papers), Scientific Computing and Data Management (7 papers), Data Management and Algorithms (2 papers), Remote-Sensing Image Classification (1 paper) and Remote Sensing in Agriculture (1 paper). The work is most often cited by research in Signal Processing (605 citations), Information Systems and Management (62 citations), Computer Networks and Communications (114 citations), Medical Laboratory Technology (3 citations) and Artificial Intelligence (104 citations). Patrick Schäfer has collaborated with scholars based in Germany, Hungary and Belgium. Frequent co-authors include Ulf Leser, Richard Grunzke, Jens Krüger, Thomas Steinke, Sandra Gesing, R. Müller-Pfefferkorn, Sebastian Breuers, Sonja Herres‐Pawlis, Lars Packschies and Klaus‐Dieter Warzecha. Their work appears in journals such as Data Mining and Knowledge Discovery, Journal of Cheminformatics, Proceedings of the VLDB Endowment, Journal of Grid Computing 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.