C. Jarne

4.0k citations
11 papers · 19 · h-index 3

Impact in

Papers in

    • Neural dynamics and brain function 3
    • EEG and Brain-Computer Interfaces 2
    • Functional Brain Connectivity Studies 2
    • Neural Networks and Applications 3
    • Neural Networks and Reservoir Computing 3

C. Jarne

8 papers receiving 19 citations

Peers

C. Jarne
Comparison fields: 5 of 17
  • Cognitive Neuroscience 6
  • History and Philosophy of Science 1
  • Artificial Intelligence 7
  • Media Technology 1
  • Signal Processing 1
Replace Pablo Fernández-González with:
Pablo Fernández-González Spain
Wouter Klijn Germany
Mila Desi Anasanti Indonesia
D. Terhorst Germany
X. R. Chen United States
Kelvin Sarink Germany
Vivek Natarajan United States
Vita V. Kogan United Kingdom
Eva Portelance Canada
Nicole Bardett United States
C. Jarne relative to Pablo Fernández-González Spain Pablo Fernández-González's profile →
Citations per field
00.5×1.5×2.3×
Pablo Fernández-González · 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 20231
7 20241
8 20241
9 20250
10 20150
11 20180

About C. Jarne

C. Jarne is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Genetics, Sociology and Political Science and Nature and Landscape Conservation, having authored 11 papers that have together received 19 indexed citations. Recurring topics across this work include Neural dynamics and brain function (3 papers), Neural Networks and Applications (3 papers), Neural Networks and Reservoir Computing (3 papers), Evolution and Genetic Dynamics (2 papers), EEG and Brain-Computer Interfaces (2 papers), Functional Brain Connectivity Studies (2 papers), Evolutionary Game Theory and Cooperation (2 papers) and Genetic diversity and population structure (2 papers). The work is most often cited by research in Cognitive Neuroscience (6 citations), History and Philosophy of Science (1 citation), Artificial Intelligence (7 citations), Media Technology (1 citation) and Signal Processing (1 citation). C. Jarne has collaborated with scholars based in Argentina, Denmark and Spain. Frequent co-authors include Rodrigo Laje, Diego Vidaurre, Elisabeth Dirren and Emmanuel Carrera. Their work appears in journals such as Communications in Nonlinear Science and Numerical Simulation, Brain Communications, Human Brain Mapping, Journal of Computational Neuroscience and Frontiers in Systems 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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