This map shows the geographic impact of Paulo Costa'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 Paulo Costa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paulo Costa more than expected).
This network shows the impact of papers produced by Paulo Costa. 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 Paulo Costa. The network helps show where Paulo Costa may publish in the future.
Co-authorship network of co-authors of Paulo Costa
This figure shows the co-authorship network connecting the top 25 collaborators of Paulo Costa.
A scholar is included among the top collaborators of Paulo Costa 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 Paulo Costa. Paulo Costa is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Park, Cheol Young, et al.. (2016). A process for human-aided Multi-Entity Bayesian Networks learning in Predictive Situation Awareness. International Conference on Information Fusion. 2116–2124.6 indexed citations
5.
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
Kacem, Thabet, et al.. (2015). Detecting malicious ADS-B transmitters using a low-bandwidth sensor network. International Conference on Information Fusion. 1696–1701.7 indexed citations
9.
Park, Cheol Young, et al.. (2014). Predictive situation awareness reference model using Multi-Entity Bayesian Networks. International Conference on Information Fusion. 1–8.7 indexed citations
10.
Carvalho, Rommel N., et al.. (2013). There’s No More Need to be a Night OWL: on the PR-OWL for a MEBN Tool Before Nightfall.4 indexed citations
11.
Jøsang, Audun, Paulo Costa, & Erik Blasch. (2013). Determining model correctness for situations of belief fusion. International Conference on Information Fusion. 1886–1893.15 indexed citations
12.
Park, Cheol Young, et al.. (2013). Multi-Entity Bayesian Networks learning for hybrid variables in situation awareness. International Conference on Information Fusion. 1894–1901.11 indexed citations
13.
Pavlin, Gregor, et al.. (2013). Evaluating complex fusion systems based on causal probabilistic models. UvA-DARE (University of Amsterdam). 1590–1599.1 indexed citations
14.
Costa, Paulo, Kathryn Blackmond Laskey, Erik Blasch, & Anne-Laure Jousselme. (2012). Towards unbiased evaluation of uncertainty reasoning: The URREF ontology. International Conference on Information Fusion. 2301–2308.107 indexed citations
15.
Carvalho, Rommel N., et al.. (2011). Modeling a probabilistic ontology for Maritime Domain Awareness. International Conference on Information Fusion. 1–8.27 indexed citations
16.
Costa, Paulo, Rommel N. Carvalho, Kathryn Blackmond Laskey, & Cheol Young Park. (2011). Evaluating uncertainty representation and reasoning in HLF systems. International Conference on Information Fusion. 1–8.18 indexed citations
17.
Costa, Paulo, Kuo‐Chu Chang, Kathryn Blackmond Laskey, & Rommel N. Carvalho. (2009). A multi-disciplinary approach to high level fusion in predictive situational awareness. International Conference on Information Fusion. 248–255.10 indexed citations
18.
Laskey, Kathryn Blackmond, et al.. (2008). Probabilistic ontologies for knowledge fusion. International Conference on Information Fusion. 1–8.32 indexed citations
19.
Costa, Paulo, et al.. (2008). A First-Order Bayesian Tool for Probabilistic Ontologies. The Florida AI Research Society. 631–636.19 indexed citations
20.
Costa, Paulo & Kathryn Blackmond Laskey. (2006). PR-OWL: A Framework for Probabilistic Ontologies. 237–249.77 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.