Countries citing papers authored by Giorgio Terracina
Since
Specialization
Citations
This map shows the geographic impact of Giorgio Terracina'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 Giorgio Terracina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giorgio Terracina more than expected).
Fields of papers citing papers by Giorgio Terracina
This network shows the impact of papers produced by Giorgio Terracina. 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 Giorgio Terracina. The network helps show where Giorgio Terracina may publish in the future.
Co-authorship network of co-authors of Giorgio Terracina
This figure shows the co-authorship network connecting the top 25 collaborators of Giorgio Terracina.
A scholar is included among the top collaborators of Giorgio Terracina 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 Giorgio Terracina. Giorgio Terracina is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Cauteruccio, Francesco, et al.. (2019). Investigating the Scope of a Thing in a Multiple Internet of Things Scenario.. Università Politecnica delle Marche (Università Politecnica delle Marche).1 indexed citations
Calimeri, Francesco, Aldo Marzullo, Claudio Stamile, & Giorgio Terracina. (2018). Graph based neural networks for automatic classification of multiple sclerosis clinical courses.. The European Symposium on Artificial Neural Networks.11 indexed citations
10.
Leone, Nicola, et al.. (2012). Efficiently Computable Datalog ∃ programs. Principles of Knowledge Representation and Reasoning. 13–23.27 indexed citations
11.
Manna, Marco, Francesco Ricca, & Giorgio Terracina. (2010). Optimized encodings for Consistent Query Answering via ASP from different perspectives.
Meo, Pasquale De, et al.. (2004). XICOMAS Q : an XML-based information content oriented multi-agent system for QoS management in telecommunications networks. Università Politecnica delle Marche (Università Politecnica delle Marche). 2(1). 55–70.2 indexed citations
Pontieri, Luigi, et al.. (2002). A Model and a Framework for Defining Networks of Multidimensional Data Marts.. SEBD. 119–126.2 indexed citations
17.
Calvanese, Diego, Silvana Castano, Francesco Guerra, et al.. (2001). Towards a Comprehensive Methodological Framework for Integration.. IRIS UNIMORE (University of Modena and Reggio Emilia).1 indexed citations
18.
Palopoli, Luigi, Domenico Rosaci, Giorgio Terracina, & Domenico Ursino. (2001). Un modello concettuale per rappresentare e derivare la semantica associata a sorgenti informative strutturate e semi-strutturate.. Università Politecnica delle Marche (Università Politecnica delle Marche). 131–145.6 indexed citations
19.
Palopoli, Luigi, Domenico Rosaci, Giorgio Terracina, & Domenico Ursino. (2001). Modeling Web-search scenarios exploiting user and source profiles. AI Communications. 14(4). 215–230.3 indexed citations
20.
Terracina, Giorgio, et al.. (2000). Deriving synonymies and homonymies of object classes in semi-structured information sources. Università Politecnica delle Marche (Università Politecnica delle Marche).6 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.