Felix Siebenhühner

1.2k total citations
17 papers, 720 citations indexed

About

Felix Siebenhühner is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, Felix Siebenhühner has authored 17 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Felix Siebenhühner's work include Neural dynamics and brain function (15 papers), Functional Brain Connectivity Studies (12 papers) and EEG and Brain-Computer Interfaces (4 papers). Felix Siebenhühner is often cited by papers focused on Neural dynamics and brain function (15 papers), Functional Brain Connectivity Studies (12 papers) and EEG and Brain-Computer Interfaces (4 papers). Felix Siebenhühner collaborates with scholars based in Finland, United Kingdom and Italy. Felix Siebenhühner's co-authors include J. Matias Palva, Satu Palva, Muriel Lobier, Sheng H. Wang, Raúl Vicente, Viola Priesemann, Michael Wibral, Michael Lindner, Joseph T. Lizier and Gabriele Arnulfo and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Felix Siebenhühner

17 papers receiving 714 citations

Peers

Felix Siebenhühner
Comparison fields: 5 of 91
  • Cognitive Neuroscience 566
  • Cellular and Molecular Neuroscience 86
  • Statistical and Nonlinear Physics 68
  • Artificial Intelligence 54
  • Computer Networks and Communications 47
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Citations per field, relative to Felix Siebenhühner
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Citations per year, relative to Felix Siebenhühner
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Countries citing papers authored by Felix Siebenhühner

Since Specialization
Citations

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

Fields of papers citing papers by Felix Siebenhühner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Felix Siebenhühner

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

All Works

17 of 17 papers shown
# Work Indexed citations
1 1
2 9
3 3
4 24
5 11
6 4
7 59
8 15
9 48
10 2
11 81
12 192
13 205
14 3
15 46
16 16
17
Proc. of the 2nd Workshop on Level Density and Gamma Strength, Oslo, May 2009
1

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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