Patrick Schäfer

441 citations
12 papers · 180 indexed · 1 hit paper · h-index 6
Topics
Time Series Analysis and Forecasting (4 papers)Retinal Development and Disorders (3 papers)Neurogenesis and neuroplasticity mechanisms (3 papers)

In The Last Decade

Patrick Schäfer

12 papers receiving 176 citations

Hit Papers

Bake off redux: a review and experimental evaluation of r...20242026202520241020304050

Peers

Patrick Schäfer
Comparison fields: 5 of 66
  • Molecular Biology 82
  • Signal Processing 53
  • Artificial Intelligence 49
  • Cellular and Molecular Neuroscience 36
  • Ophthalmology 21
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Fangzhou Mu United States
Tiffany M. Tang United States
Chaohong Wu United States
Florent Autrusseau France
Xuedong Yuan China
Yuxiao Xu United States
Jin S. Seo South Korea
Jiawei Su China
Alexander Dreweke Germany
Amelio Vázquez-Reina United States
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Citations per field
00.5×4.8×
Fangzhou Mu · 1×
Citations per year

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

12 of 12 papers shown
#WorkIndexed citations
1 1
2
Bake off redux: a review and experimental evaluation of recent time series classification algorithmsbreakdown →
58
3 6
4 2
5 4
6 4
7 27
8 7
9 60
10 1
11 8
12 2

About Patrick Schäfer

Patrick Schäfer is a scholar working on Developmental Neuroscience, Applied Microbiology and Biotechnology and Signal Processing, having authored 12 papers that have together received 180 indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (4 papers), Retinal Development and Disorders (3 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). The work is most often cited by research in Signal Processing (53 citations), Developmental Neuroscience (16 citations) and Ophthalmology (21 citations). Patrick Schäfer has collaborated with scholars based in Germany, United Kingdom and China. Frequent co-authors include Anthony Bagnall, Matthew Middlehurst, Michael Karl, Manuela Völkner, Peter Oertel, Sheik Pran Babu Sardar Pasha, Yiqing Zhu, Alex M. Sykes, Jörg Seewig and Ulf Leser. Their work appears in journals such as Scientific Reports, Glia and Proceedings of the VLDB Endowment.

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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