Countries citing papers authored by Liliana Cabral
Since
Specialization
Citations
This map shows the geographic impact of Liliana Cabral'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 Liliana Cabral with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liliana Cabral more than expected).
This network shows the impact of papers produced by Liliana Cabral. 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 Liliana Cabral. The network helps show where Liliana Cabral may publish in the future.
Co-authorship network of co-authors of Liliana Cabral
This figure shows the co-authorship network connecting the top 25 collaborators of Liliana Cabral.
A scholar is included among the top collaborators of Liliana Cabral 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 Liliana Cabral. Liliana Cabral is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Müller, Heiko, Liliana Cabral, Ahsan Morshed, & Yanfeng Shu. (2013). From RESTful to SPARQL: a case study on generating semantic sensor data. 51–66.15 indexed citations
Cabral, Liliana, Ning Li, & Jacek Kopecký. (2012). Building the WSMO-Lite test collection on the SEALS Platform. Open Research Online (The Open University).3 indexed citations
5.
Cabral, Liliana & Ioan Toma. (2010). Evaluating Semantic Web Service tools using the SEALS platform. Open Research Online (The Open University).2 indexed citations
Gugliotta, Alessio, Liliana Cabral, & John Domingue. (2006). Knowledge modelling for integrating e-government applications and Semantic Web Services. Open Research Online (The Open University). 21–32.7 indexed citations
13.
Stollberg, Michael, et al.. (2006). Experiences from semantic web service tutorials. Open Research Online (The Open University).1 indexed citations
14.
Gugliotta, Alessio, Liliana Cabral, & John Domingue. (2005). Knowledge modelling for integrating semantic web services in e-government applications. Open Research Online (The Open University).2 indexed citations
15.
Gugliotta, Alessio, Liliana Cabral, John Domingue, & Vito Roberto. (2005). A conceptual model for semantically-based e-government portals. Open Research Online (The Open University).3 indexed citations
16.
Domingue, John, Liliana Cabral, Stefania Galizia, & Enrico Motta. (2005). A position statement on IRS-III: a comprehensive approach to creating and using semantic web services. Open Research Online (The Open University).1 indexed citations
17.
Cabral, Liliana & John Domingue. (2005). Mediation of semantic web services in IRS-III. Open Research Online (The Open University).10 indexed citations
18.
Hakimpour, Farshad, John Domingue, Enrico Motta, Liliana Cabral, & Yuangui Lei. (2004). Integration of OWL-S into IRS-III. Open Research Online (The Open University).9 indexed citations
19.
Domingue, John, Liliana Cabral, Farshad Hakimpour, Denílson Sell, & Enrico Motta. (2004). IRS III: a platform and infrastructure for creating WSMO based semantic web services. Open Research Online (The Open University).61 indexed citations
20.
Tanasescu, Vlad, John Domingue, & Liliana Cabral. (2004). OCML ontologies to XML schema lowering. Open Research Online (The Open University).2 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.