Georg Dorffner

6.2k total citations
138 papers, 4.0k citations indexed

About

Georg Dorffner is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Georg Dorffner has authored 138 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Cognitive Neuroscience, 34 papers in Artificial Intelligence and 21 papers in Experimental and Cognitive Psychology. Recurrent topics in Georg Dorffner's work include Sleep and Wakefulness Research (23 papers), EEG and Brain-Computer Interfaces (22 papers) and Complex Systems and Time Series Analysis (18 papers). Georg Dorffner is often cited by papers focused on Sleep and Wakefulness Research (23 papers), EEG and Brain-Computer Interfaces (22 papers) and Complex Systems and Time Series Analysis (18 papers). Georg Dorffner collaborates with scholars based in Austria, Germany and United Kingdom. Georg Dorffner's co-authors include Kurt Hornik, Georg Gruber, P. Anderer, Horst Bischof, B. Saletu, Heidi Danker‐Hopfe, Arthur Flexer, Christian Schittenkopf, Silvia Parapatics and Peter Tiňo and has published in prestigious journals such as Nature Communications, Neuron and PLoS ONE.

In The Last Decade

Georg Dorffner

127 papers receiving 3.8k citations

Peers

Georg Dorffner
Comparison fields: 5 of 184
  • Cognitive Neuroscience 1.8k
  • Experimental and Cognitive Psychology 891
  • Artificial Intelligence 804
  • Physiology 647
  • Biomedical Engineering 408
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M. Brandon Westover United States
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Francesco Carlo Morabito Italy
Théo Gasser Switzerland
Max A. Little United Kingdom
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Citations per field, relative to Georg Dorffner
Georg Dorffner · 1×
Citations per year, relative to Georg Dorffner
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Countries citing papers authored by Georg Dorffner

Since Specialization
Citations

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

Fields of papers citing papers by Georg Dorffner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georg Dorffner

This figure shows the co-authorship network connecting the top 25 collaborators of Georg Dorffner. A scholar is included among the top collaborators of Georg Dorffner 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 Georg Dorffner. Georg Dorffner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 6
4 14
5 6
6 17
7 21
8 6
9 70
10 9
11 19
12 44
13
Using hyperbolic large-margin classifiers for biological link prediction.
1
14 45
15 5
16 0
17
Artificial neural networks -- ICANN 2001 : International Conference, Vienna, Austria, August 21-25, 2001 : proceedings
7
18
Graded Grammaticality in Prediction Fractal Machines
1
19
Building Predictive Models from Fractal Representations of Symbolic Sequences
3
20
Experiences with Bayesian Learning in a Real World Application
0

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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