Georg Dorffner

6.3k citations
139 papers · 4.0k · h-index 33

Impact in

Papers in

Georg Dorffner

125 papers receiving 3.8k citations

Peers

Georg Dorffner
Comparison fields: 5 of 180
  • Cognitive Neuroscience 1.6k
  • Experimental and Cognitive Psychology 686
  • Endocrine and Autonomic Systems 216
  • Signal Processing 353
  • Artificial Intelligence 763
Replace Guo‐Qiang Zhang with:
Guo‐Qiang Zhang United States
Max A. Little United Kingdom
Nicos Maglaveras Greece
Tapio Seppänen Finland
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Oliver Faust Singapore
Chi‐Hua Chen Taiwan
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Citations per field
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Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009305
2 2009262
3
Proceedings of the International Conference on Artificial Neural Networks
2001261
4 2005239
5 2020216
6 2004181
7 2001154
8 1999120
9 2004113
10 2014103
11 201096
12 200184
13 200182
14 200581
15 202174
16 201265
17 201558
18 201956
19 200552
20 201846

About Georg Dorffner

Georg Dorffner is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Experimental and Cognitive Psychology, Economics and Econometrics and Signal Processing, having authored 139 papers that have together received 4.0k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (20 papers), Sleep and Wakefulness Research (19 papers), Complex Systems and Time Series Analysis (18 papers), Sleep and related disorders (16 papers), Neural Networks and Applications (14 papers), Stock Market Forecasting Methods (10 papers), Financial Risk and Volatility Modeling (9 papers) and Obstructive Sleep Apnea Research (7 papers). The work is most often cited by research in Cognitive Neuroscience (1.6k citations), Experimental and Cognitive Psychology (686 citations), Endocrine and Autonomic Systems (216 citations), Signal Processing (353 citations) and Artificial Intelligence (763 citations). Georg Dorffner has collaborated with scholars based in Austria, Germany and United Kingdom. Frequent co-authors include Kurt Hornik, Georg Gruber, P. Anderer, B. Saletu, Horst Bischof, Heidi Danker‐Hopfe, Arthur Flexer, Christian Schittenkopf, Silvia Parapatics and J. Zeitlhofer. Their work appears in journals such as PLoS ONE, Applied Artificial Intelligence, Neuropsychobiology, Computer Methods and Programs in Biomedicine and Artificial Intelligence in Medicine.

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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