Julia Schiemann

892 citations
13 papers · 602 indexed · h-index 9
Topics
Neural dynamics and brain function (8 papers)Neuroscience and Neuropharmacology Research (7 papers)Neuroscience and Neural Engineering (5 papers)

In The Last Decade

Julia Schiemann

11 papers receiving 599 citations

Peers

Julia Schiemann
Comparison fields: 5 of 85
  • Cellular and Molecular Neuroscience 372
  • Molecular Biology 226
  • Cognitive Neuroscience 194
  • Neurology 136
  • Neurology 55
Replace Christine Huchzermeyer with:
Christine Huchzermeyer Germany
Vincent Paillé France
Dagoberto Tapia Mexico
Jan M. Schulz Switzerland
Mohamed Bouzrou Germany
SukJae Joshua Kang South Korea
Laurence Decorte France
Elise Gondard Canada
Sabrina Boulet France
Walter Zieglgänsberger Germany
Julia Schiemann relative to Christine Huchzermeyer Germany Christine Huchzermeyer's profile →
Citations per field
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Christine Huchzermeyer · 1×
Citations per year

Countries citing papers authored by Julia Schiemann

Since Specialization
Citations

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

Fields of papers citing papers by Julia Schiemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Schiemann

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 1
2 0
3 15
4 70
5 2
6 53
7 50
8 92
9 24
10 110
11
A multiple filter test for change point detection in renewal processes with varying variance
3
12 160
13 22

About Julia Schiemann

Julia Schiemann is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Statistical and Nonlinear Physics, having authored 13 papers that have together received 602 indexed citations. Recurring topics across this work include Neural dynamics and brain function (8 papers), Neuroscience and Neuropharmacology Research (7 papers) and Neuroscience and Neural Engineering (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (372 citations), Cognitive Neuroscience (194 citations) and Neurology (136 citations). Julia Schiemann has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Birgit Liss, Gaby Schneider, Jochen Roeper, Falk Schlaudraff, Kareem A. Zaghloul, V. Klose, Susumu Seino, Peter J. Magill, Ian Duguid and Johanna Duda. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron and Nature Neuroscience.

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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