Countries citing papers authored by Gianluca Correndo
Since
Specialization
Citations
This map shows the geographic impact of Gianluca Correndo'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 Gianluca Correndo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gianluca Correndo more than expected).
Fields of papers citing papers by Gianluca Correndo
This network shows the impact of papers produced by Gianluca Correndo. 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 Gianluca Correndo. The network helps show where Gianluca Correndo may publish in the future.
Co-authorship network of co-authors of Gianluca Correndo
This figure shows the co-authorship network connecting the top 25 collaborators of Gianluca Correndo.
A scholar is included among the top collaborators of Gianluca Correndo 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 Gianluca Correndo. Gianluca Correndo is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Correndo, Gianluca, et al.. (2017). EO4WILDLIFE: a cloud platform to exploit satellite data for animal protection. ePrints Soton (University of Southampton).1 indexed citations
2.
Sabeur, Zoheir, et al.. (2017). EO big data analytics for the discovery of new trends of marine species habitats in a changing global climate. ePrints Soton (University of Southampton).1 indexed citations
3.
Попов, И. О., m.c. schraefel, Gianluca Correndo, Wendy Hall, & Nigel Shadbolt. (2012). Interacting with the Web of Data through a Web of Inter-connected Lenses. ePrints Soton (University of Southampton).2 indexed citations
4.
Correndo, Gianluca & Nigel Shadbolt. (2011). Translating expressive ontology mappings into rewriting rules to implement query rewriting. ePrints Soton (University of Southampton). 248–249.2 indexed citations
5.
Salvadores, Manuel, et al.. (2010). 4s-reasoner: RDFS Backward Chained Reasoning Support in 4store. ePrints Soton (University of Southampton).
Попов, И. О., Yang Yang, Manuel Salvadores, et al.. (2010). Integrating public datasets using linked data: challenges and design principles. ePrints Soton (University of Southampton).3 indexed citations
10.
Correndo, Gianluca, Alberto Granzotto, Manuel Salvadores, Wendy Hall, & Nigel Shadbolt. (2010). A Linked Data representation of the Nomenclature of Territorial Units for Statistics. ePrints Soton (University of Southampton).2 indexed citations
11.
Leenheer, Pieter De, Christophe Debruyne, Hans Peeters, et al.. (2009). Towards Social Performance Indicators for Community-based Ontology Evolution. Open Repository and Bibliography (University of Liège). 514.5 indexed citations
Correndo, Gianluca, Harith Alani, & Paul R. Smart. (2008). A community based approach for managing ontology alignments. Open Research Online (The Open University). 61–72.1 indexed citations
Terenziani, Paolo, Stefania Montani, Alessio Bottrighi, et al.. (2004). A Context-Adaptable Approach to Clinical Guidelines. Studies in health technology and informatics. 107(Pt 1). 169–73.20 indexed citations
Portinale, Luigi, Pietro Torasso, & Gianluca Correndo. (1999). Knowledge Representation and Reasoning for Fault Identification in a Space Robot Arm. ePrints Soton (University of Southampton). 440. 539–546.4 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.