J. Arnhold

1.1k total citations
12 papers, 653 citations indexed

About

J. Arnhold is a scholar working on Cognitive Neuroscience, Computer Networks and Communications and Statistical and Nonlinear Physics. According to data from OpenAlex, J. Arnhold has authored 12 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 3 papers in Computer Networks and Communications and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in J. Arnhold's work include Neural dynamics and brain function (6 papers), EEG and Brain-Computer Interfaces (5 papers) and Nonlinear Dynamics and Pattern Formation (3 papers). J. Arnhold is often cited by papers focused on Neural dynamics and brain function (6 papers), EEG and Brain-Computer Interfaces (5 papers) and Nonlinear Dynamics and Pattern Formation (3 papers). J. Arnhold collaborates with scholars based in Germany and United States. J. Arnhold's co-authors include Peter Grassberger, Rodrigo Quian Quiroga, Klaus Lehnertz, Christian E. Elger, Ralph G. Andrzejak, Guido Widman, Christoph Rieke, Florian Mormann, Thomas Kreuz and P. David and has published in prestigious journals such as Epilepsia, Journal of Clinical Neurophysiology and Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

In The Last Decade

J. Arnhold

12 papers receiving 635 citations

Peers

J. Arnhold
J. Arnhold
Citations per year, relative to J. Arnhold J. Arnhold (= 1×) peers Andreas Galka

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-authorship network of co-authors of J. Arnhold

This figure shows the co-authorship network connecting the top 25 collaborators of J. Arnhold. A scholar is included among the top collaborators of J. Arnhold 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 J. Arnhold. J. Arnhold 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
1.
Arnhold, J., Peter Grassberger, Klaus Lehnertz, & Christian E. Elger. (2013). A Robust Method for Detecting Interdependences: Application to Intracranially Recorded EEG. 103 indexed citations
2.
Quiroga, Rodrigo Quian, J. Arnhold, Klaus Lehnertz, & Peter Grassberger. (2002). Reply to “Comment on ‘Kullback-Leibler and renormalized entropies: Applications to electroencephalograms of epilepsy patients’ ”. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 66(4). 2 indexed citations
3.
Lehnertz, Klaus, Ralph G. Andrzejak, J. Arnhold, et al.. (2001). Its Possible Use for Interictal Focus Localization, Seizure Anticipation, and Prevention. Journal of Clinical Neurophysiology. 18(3). 209–222. 137 indexed citations
4.
Quiroga, Rodrigo Quian, J. Arnhold, Klaus Lehnertz, & Peter Grassberger. (2000). Kulback-Leibler and renormalized entropies: Applications to electroencephalograms of epilepsy patients. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 62(6). 8380–8386. 76 indexed citations
5.
Quiroga, Rodrigo Quian, J. Arnhold, & Peter Grassberger. (2000). Learning driver-response relationships from synchronization patterns. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 61(5). 5142–5148. 198 indexed citations
6.
Elger, Christian E., Guido Widman, Ralph G. Andrzejak, et al.. (2000). Nonlinear EEG Analysis and Its Potential Role in Epileptology. Epilepsia. 41(s3). S34–8. 71 indexed citations
7.
Arnhold, J.. (2000). Nichtlineare Analyse raum-zeitlicher Aspekte der hirnelektrischen Aktivität von Epilepsiepatienten. JuSER (Forschungszentrum Jülich). 1 indexed citations
8.
Elger, Christian E., Guido Widman, Ralph G. Andrzejak, et al.. (2000). Value of nonlinear time series analysis of the EEG in neocortical epilepsies.. PubMed. 84. 317–30. 19 indexed citations
9.
Arnhold, J., Peter Grassberger, Klaus Lehnertz, & Christian E. Elger. (2000). DETECTING INTERDEPENDENCES IN INTRACRANIAL EEG RECORDINGS OF EPILEPSY PATIENTS. 325–328. 1 indexed citations
10.
Lehnertz, Klaus, Ralph G. Andrzejak, J. Arnhold, et al.. (2000). POSSIBLE CLINICAL AND RESEARCH APPLICATIONS OF NONLINEAR EEG ANALYSIS IN HUMANS. 134–155. 19 indexed citations
11.
Quiroga, Rodrigo Quian, J. Arnhold, & Peter Grassberger. (1999). Driver-Response Relationships cannot be Learned from Synchronization Patterns. arXiv (Cornell University). 3 indexed citations
12.
Lehnertz, Klaus, Guido Widman, Ralph G. Andrzejak, J. Arnhold, & Christian E. Elger. (1999). Is it possible to anticipate seizure onset by non-linear analysis of intracerebral EEG in human partial epilepsies?. PubMed. 155(6-7). 454–6. 23 indexed citations

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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