Gordon Pipa

4.7k citations
91 papers · 3.0k · 1 hit paper · h-index 23

Impact in

    • Neural dynamics and brain function
    • Functional Brain Connectivity Studies
    • EEG and Brain-Computer Interfaces
    • Psychology of Moral and Emotional Judgment
    • Neuroscience and Neural Engineering
    • Neuroscience and Neuropharmacology Research

Papers in

Gordon Pipa

85 papers receiving 2.9k citations

Gordon Pipa's Hit Papers

Transfer entropy—a model-free measure of effective connectivity for the neurosciences 2010 · 683 citations
6830+5+10Years since publication200400600

Peers

Gordon Pipa
Comparison fields: 5 of 156
  • Cognitive Neuroscience 2.1k
  • Cellular and Molecular Neuroscience 534
  • Statistical and Nonlinear Physics 363
  • Safety Research 174
  • Experimental and Cognitive Psychology 161
Replace Murray Shanahan with:
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Gordon Pipa relative to Murray Shanahan United Kingdom Murray Shanahan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Gordon Pipa

Since Specialization
Citations

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

Fields of papers citing papers by Gordon Pipa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gordon Pipa, 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 Gordon Pipa Line = papers co-authored together Gordon Pipa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Transfer entropy—a model-free measure of effective connectivity for the neurosciences
Hit paper breakdown →
2010683
2 2014399
3 2008253
4 2010162
5 201898
6 201492
7 201184
8 201481
9 202168
10 201760
11 200757
12 201852
13 201551
14 200851
15 201949
16 201144
17 202041
18 201040
19 200336
20 202030

About Gordon Pipa

Gordon Pipa is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Artificial Intelligence, Electrical and Electronic Engineering and Statistical and Nonlinear Physics, having authored 91 papers that have together received 3.0k indexed citations. Recurring topics across this work include Neural dynamics and brain function (51 papers), Advanced Memory and Neural Computing (15 papers), Neuroscience and Neural Engineering (15 papers), EEG and Brain-Computer Interfaces (12 papers), Functional Brain Connectivity Studies (12 papers), stochastic dynamics and bifurcation (11 papers), Neural Networks and Applications (10 papers) and Neural Networks and Reservoir Computing (7 papers). The work is most often cited by research in Cognitive Neuroscience (2.1k citations), Cellular and Molecular Neuroscience (534 citations), Statistical and Nonlinear Physics (363 citations), Safety Research (174 citations) and Experimental and Cognitive Psychology (161 citations). Gordon Pipa has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Michael Wibral, Raúl Vicente, Michael Lindner, Raúl Vicente, Wolf Singer, Peter König, Cláudio R. Mirasso, Sergio Neuenschwander, Leonardo L. Gollo and Ingo Fischer. Their work appears in journals such as Neural Computation, PLoS ONE, BMC Neuroscience, Frontiers in Behavioral Neuroscience and Neurocomputing.

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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