C. Jarne

3.9k citations
11 papers · 19 · h-index 3

Impact in

Papers in

    • Neural dynamics and brain function 5
    • EEG and Brain-Computer Interfaces 2
    • Functional Brain Connectivity Studies 2
    • Neural Networks and Applications 4
    • Neural Networks and Reservoir Computing 4

C. Jarne

8 papers receiving 19 citations

Peers

C. Jarne
Comparison fields: 5 of 18
  • Cognitive Neuroscience 9
  • Artificial Intelligence 8
  • History and Philosophy of Science 1
  • Statistical and Nonlinear Physics 2
  • Media Technology 1
Replace D. Terhorst with:
D. Terhorst Germany
Abulhair Saparov United States
Pablo Fernández-González Spain
Wouter Klijn Germany
R. Keidel Germany
Vita V. Kogan United Kingdom
Giorgio Paulon United States
Mila Desi Anasanti Indonesia
Jianghong Shi United States
Charvi Jain India
C. Jarne relative to D. Terhorst Germany D. Terhorst's profile →
Citations per field
00.5×
D. Terhorst · 1×
Citations per year

Countries citing papers authored by C. Jarne

Since Specialization
Citations

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

Fields of papers citing papers by C. Jarne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside C. Jarne, 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 C. Jarne Line = papers co-authored together C. Jarne links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 20215
2
Simple empirical algorithm to obtain signal envelope in three steps.
20174
3 20223
4 20232
5 20142
6 20241
7 20231
8 20241
9 20150
10 20250
11 20180

About C. Jarne

C. Jarne is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Genetics, Sociology and Political Science and Electrical and Electronic Engineering, having authored 11 papers that have together received 19 indexed citations. Recurring topics across this work include Neural dynamics and brain function (5 papers), Neural Networks and Applications (4 papers), Neural Networks and Reservoir Computing (4 papers), Genetic diversity and population structure (2 papers), EEG and Brain-Computer Interfaces (2 papers), Functional Brain Connectivity Studies (2 papers), Evolutionary Game Theory and Cooperation (2 papers) and Advanced Memory and Neural Computing (2 papers). The work is most often cited by research in Cognitive Neuroscience (9 citations), Artificial Intelligence (8 citations), History and Philosophy of Science (1 citation), Statistical and Nonlinear Physics (2 citations) and Media Technology (1 citation). C. Jarne has collaborated with scholars based in Argentina, Denmark and Spain. Frequent co-authors include Rodrigo Laje, Emmanuel Carrera, Diego Vidaurre and Elisabeth Dirren. Their work appears in journals such as Frontiers in Systems Neuroscience, Brain Communications, Journal of Computational Neuroscience, Human Brain Mapping and Communications in Nonlinear Science and Numerical Simulation.

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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