J. Arnhold

1.1k citations
12 papers · 653 · h-index 8

Impact in

Papers in

J. Arnhold

12 papers receiving 635 citations

Peers

J. Arnhold
Comparison fields: 5 of 67
  • Cognitive Neuroscience 488
  • Statistical and Nonlinear Physics 184
  • Signal Processing 115
  • Economics and Econometrics 134
  • Cellular and Molecular Neuroscience 83
Replace Matthäus Staniek with:
Matthäus Staniek Germany
Andreas Galka Germany
Daniel Chicharro Italy
Stephan Bialonski Germany
Zbigniew J. Kowalik Germany
Anna Krakovská Slovakia
Wolfram Hesse Germany
Kevin Dolan Germany
Katalin Štěrbová Czechia
Leonardo Angelini Italy
J. Arnhold relative to Matthäus Staniek Germany Matthäus Staniek's profile →
Citations per field
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Citations per year

Countries citing papers authored by J. Arnhold

Since Specialization
Citations

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

Fields of papers citing papers by J. Arnhold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside J. Arnhold, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J. Arnhold Line = papers co-authored together J. Arnhold links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2000198
2 2001137
3
A Robust Method for Detecting Interdependences: Application to Intracranially Recorded EEG
2013103
4 200076
5 200071
6
Is it possible to anticipate seizure onset by non-linear analysis of intracerebral EEG in human partial epilepsies?
199923
7
Value of nonlinear time series analysis of the EEG in neocortical epilepsies.
200019
8 200019
9
Driver-Response Relationships cannot be Learned from Synchronization Patterns
19993
10 20022
11
Nichtlineare Analyse raum-zeitlicher Aspekte der hirnelektrischen Aktivität von Epilepsiepatienten
20001
12 20001

About J. Arnhold

J. Arnhold is a scholar working on Cognitive Neuroscience, Computer Networks and Communications, Statistical and Nonlinear Physics, Economics and Econometrics and Molecular Biology, having authored 12 papers that have together received 653 indexed citations. Recurring topics across this work include Neural dynamics and brain function (6 papers), EEG and Brain-Computer Interfaces (5 papers), Complex Systems and Time Series Analysis (3 papers), Nonlinear Dynamics and Pattern Formation (3 papers), Chaos control and synchronization (2 papers), Fractal and DNA sequence analysis (2 papers), Blind Source Separation Techniques (1 paper) and Epilepsy research and treatment (1 paper). The work is most often cited by research in Cognitive Neuroscience (488 citations), Statistical and Nonlinear Physics (184 citations), Signal Processing (115 citations), Economics and Econometrics (134 citations) and Cellular and Molecular Neuroscience (83 citations). J. Arnhold has collaborated with scholars based in Germany and United States. Frequent co-authors include Peter Grassberger, Rodrigo Quian Quiroga, Klaus Lehnertz, Christian E. Elger, Ralph G. Andrzejak, Guido Widman, Christoph Rieke, Thomas Kreuz, Florian Mormann and P. David. Their work appears in journals such as Journal of Clinical Neurophysiology, Epilepsia, PubMed, JuSER (Forschungszentrum Jülich) and Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

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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