This map shows the geographic impact of Luigi Iannone'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 Luigi Iannone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luigi Iannone more than expected).
This network shows the impact of papers produced by Luigi Iannone. 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 Luigi Iannone. The network helps show where Luigi Iannone may publish in the future.
Co-authorship network of co-authors of Luigi Iannone
This figure shows the co-authorship network connecting the top 25 collaborators of Luigi Iannone.
A scholar is included among the top collaborators of Luigi Iannone 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 Luigi Iannone. Luigi Iannone is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Linguaglossa, Leonardo, et al.. (2019). Comparing the Performance of State-of-the-Art Software Switches for NFV. SPIRE - Sciences Po Institutional REpository.2 indexed citations
4.
Iannone, Luigi, et al.. (2019). Enchaînement de vos Virtual Private Clouds avec Segment Routing. SPIRE - Sciences Po Institutional REpository.1 indexed citations
5.
Saucez, Damien, Luigi Iannone, & Olivier Bonaventure. (2019). Evaluating the artifacts of SIGCOMM papers. ACM SIGCOMM Computer Communication Review. 49(2). 44–47.8 indexed citations
Stevens, Robert, et al.. (2013). Tradeoffs in Measuring Entity Similarity for Pattern Detection in {OWL} Ontologies. Research Explorer (The University of Manchester).1 indexed citations
8.
Iannone, Luigi, et al.. (2012). Analysing syntactic regularities in ontologies. Research Explorer (The University of Manchester).1 indexed citations
Iannone, Luigi & Alan Rector. (2008). Calculations in OWL..1 indexed citations
13.
Iannone, Luigi, Mikel Egaña Aranguren, Robert Stevens, et al.. (2008). Augmenting the Expressivity of the Ontology Pre-Processor Language. Research Explorer (The University of Manchester).10 indexed citations
14.
Palmisano, Ignazio, et al.. (2008). Dynamic ontology evolution in open environments. ePrints Soton (University of Southampton). 54–55.1 indexed citations
15.
Redavid, Domenico, Luigi Iannone, & Terry R. Payne. (2007). OWL-S Atomic Services Composition with SWRL Rules.. ePrints Soton (University of Southampton).6 indexed citations
Palmisano, Ignazio, Domenico Redavid, Luigi Iannone, et al.. (2005). A RDF-based Framework for User Profile Creation and Management.. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro).1 indexed citations
18.
Fanizzi, Nicola, Stefano Ferilli, Luigi Iannone, Ignazio Palmisano, & Giovanni Semeraro. (2005). Downward Refinement in the ALN Description Logic. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 1866. 68–73.7 indexed citations
19.
Esposito, Floriana, Nicola Fanizzi, Luigi Iannone, Ignazio Palmisano, & Giovanni Semeraro. (2004). Induction and revision of terminologies. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 1007–1008.1 indexed citations
20.
Esposito, Floriana, Luigi Iannone, Ignazio Palmisano, & Giovanni Semeraro. (2003). RDF core: a component for effective management of RDF models. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 158–176.
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.