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).
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-authorship network of co-authors of Robert Trappl
This figure shows the co-authorship network connecting the top 25 collaborators of Robert Trappl.
A scholar is included among the top collaborators of Robert Trappl 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 Robert Trappl. Robert Trappl is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Trapp, Martin, Robert Peharz, Marcin Skowron, et al.. (2016). Structure Inference in Sum-Product Networks using Infinite Sum-Product Trees.1 indexed citations
3.
Trappl, Robert. (2015). A Construction Manual for Robots' Ethical Systems: Requirements, Methods, Implementations. CERN Document Server (European Organization for Nuclear Research).4 indexed citations
Madl, Tobias, Stan Franklin, Ke Chen, & Robert Trappl. (2013). Spatial Working Memory in the LIDA Cognitive Architecture. Research Explorer (The University of Manchester).9 indexed citations
8.
Trappl, Robert. (2006). Programming for Peace: Computer-Aided Methods for International Conflict Resolution and Prevention (Advances in Group Decision and Negotiation). Springer eBooks.3 indexed citations
9.
Trappl, Robert. (2006). Programming for Peace. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)).2 indexed citations
Trappl, Robert, Johannes Fürnkranz, & Johann Petrak. (1996). Digging for Peace: Using Machine Learning Methods for Assessing International Conflict Databases. European Conference on Artificial Intelligence. 453–457.7 indexed citations
13.
Trappl, Robert. (1994). Cybernetics and Systems Research 2000: Proceedings of the 12th European Meeting.
14.
Fürnkranz, Johannes, Johann Petrak, Robert Trappl, & Jacob Bercovitch. (1994). Machine Learning Methods for International Conflict Databases: A Case Study in Predicting Mediation Outcome.2 indexed citations
Trappl, Robert, et al.. (1988). Cybernetics and systems '88 : proceedings of the Ninth European Meeting on Cybernetics and Systems Research. Kluwer Academic Publishers eBooks.1 indexed citations
17.
Arbib, Michael A. & Robert Trappl. (1986). Impacts of Artificial Intelligence: Scientific, Technological, Military, Economic, Societal, Cultural and Political. Elsevier eBooks.1 indexed citations
18.
Trappl, Robert, et al.. (1986). Cybernetics and systems '86 : proceedings of the Eighth European Meeting on Cybernetics and Systems Research.1 indexed citations
Berner, P., et al.. (1971). [Objectivation and prediction of clinical groups by statistical manipulation of experimental psychological dates].. PubMed. 179(3). 368–80.1 indexed citations
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.