Robert Trappl

1.6k citations
59 papers · 802 indexed · h-index 14

Impact in

Papers in

Robert Trappl

55 papers receiving 710 citations

Peers

Robert Trappl
Comparison fields: 5 of 130
  • Management Science and Operations Research 122
  • Artificial Intelligence 271
  • Cognitive Neuroscience 161
  • Human-Computer Interaction 27
  • Statistics and Probability 37
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Daniel Polani United Kingdom
Kenneth M. Ford United States
James Shaw United States
Varol Akman Türkiye
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Citations per field
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Citations per year

Countries citing papers authored by Robert Trappl

Since Specialization
Citations

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

Fields of papers citing papers by Robert Trappl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994140
2 1990103
3 199758
4 198657
5 201549
6 199240
7
Creating Personalities for Synthetic Actors: Towards Autonomous Personality Agents
199737
8
Progress in Cybernetics and Systems Research
197531
9 200424
10 201418
11 197017
12 200116
13 198414
14
Cybernetics: Theory and Applications
198313
15 199713
16 201612
17 201512
18
Cybernetics and Systems '98 : Proceedings of the Fourteenth European Meeting on Cybernetics and Systems Research, organized by the Austrian Society for Cybernetic Studies, held at the University of Vienna, Austria, 14-17 April 1998
199811
19 201611
20 201610

About Robert Trappl

Robert Trappl is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Safety Research, Ophthalmology and Cellular and Molecular Neuroscience, having authored 59 papers that have together received 802 indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (5 papers), Artificial Intelligence in Games (4 papers), AI-based Problem Solving and Planning (4 papers), Cognitive Science and Mapping (4 papers), Child and Animal Learning Development (2 papers), Psychotherapy Techniques and Applications (2 papers), Ethics and Social Impacts of AI (2 papers) and Social Robot Interaction and HRI (2 papers). The work is most often cited by research in Management Science and Operations Research (122 citations), Artificial Intelligence (271 citations), Cognitive Neuroscience (161 citations), Human-Computer Interaction (27 citations) and Statistics and Probability (37 citations). Robert Trappl has collaborated with scholars based in Austria, United Kingdom and United States. Frequent co-authors include Paolo Petta, Tobias Madl, Ke Chen, Daniela Montaldi, Gordon Pask, Stan Franklin, Johannes Fürnkranz, Johann Petrak, Peter Rappelsberger and H. Petsche. Their work appears in journals such as Applied Artificial Intelligence, PLoS ONE, Neural Networks, Psychopathology and Electroencephalography and Clinical Neurophysiology.

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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