This map shows the geographic impact of Gregor Pavlin'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 Gregor Pavlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregor Pavlin more than expected).
This network shows the impact of papers produced by Gregor Pavlin. 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 Gregor Pavlin. The network helps show where Gregor Pavlin may publish in the future.
Co-authorship network of co-authors of Gregor Pavlin
This figure shows the co-authorship network connecting the top 25 collaborators of Gregor Pavlin.
A scholar is included among the top collaborators of Gregor Pavlin 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 Gregor Pavlin. Gregor Pavlin is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Pavlin, Gregor, et al.. (2016). Evaluation of a canonical model approach to probabilistic data association in tracking with particle filters. International Conference on Information Fusion. 464–471.2 indexed citations
8.
Pavlin, Gregor, et al.. (2016). Attractor-directed particle filtering with potential fields. International Conference on Information Fusion. 1079–1086.3 indexed citations
9.
Pavlin, Gregor, et al.. (2015). Context driven tracking using particle filters. International Conference on Information Fusion. 1128–1135.4 indexed citations
10.
Villiers, J. P. de, Kathryn Blackmond Laskey, Anne-Laure Jousselme, et al.. (2015). Uncertainty representation, quantification and evaluation for data and information fusion. 50–57.21 indexed citations
11.
Villiers, J. P. de, et al.. (2014). A framework for inferring predictive distributions of rhino poaching events through causal modelling. International Conference on Information Fusion. 1–7.12 indexed citations
12.
Pavlin, Gregor, et al.. (2013). Evaluating complex fusion systems based on causal probabilistic models. UvA-DARE (University of Amsterdam). 1590–1599.1 indexed citations
13.
Pavlin, Gregor, et al.. (2011). Dynamic process integration framework: A novel approach to efficient implementation of robust distributed information fusion systems. UvA-DARE (University of Amsterdam). 1–8.1 indexed citations
14.
Comes, Tina, et al.. (2010). An intelligent decision support system for decision making under uncertainty in distributed reasoning frameworks.. ISCRAM.13 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.