Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Knowledge Graphs: Opportunities and Challenges
2023219 citationsFrancesco Osborne et al.profile →
Artificial intelligence for literature reviews: opportunities and challenges
202462 citationsAngelo A. Salatino, Francesco Osborne et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Francesco Osborne
Since
Specialization
Citations
This map shows the geographic impact of Francesco Osborne'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 Francesco Osborne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Osborne more than expected).
Fields of papers citing papers by Francesco Osborne
This network shows the impact of papers produced by Francesco Osborne. 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 Francesco Osborne. The network helps show where Francesco Osborne may publish in the future.
Co-authorship network of co-authors of Francesco Osborne
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Osborne.
A scholar is included among the top collaborators of Francesco Osborne 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 Francesco Osborne. Francesco Osborne is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Salatino, Angelo A., et al.. (2018). Classifying Research Papers with the Computer Science Ontology. Open Research Online (The Open University).9 indexed citations
Osborne, Francesco, et al.. (2017). Supporting Springer Nature Editors by means of Semantic Technologies. Open Research Online (The Open University).1 indexed citations
15.
Osborne, Francesco, et al.. (2017). Smart Book Recommender: A Semantic Recommendation Engine for Editorial Products. Open Research Online (The Open University).1 indexed citations
16.
Iorio, Angelo Di, Andrea Giovanni Nuzzolese, Francesco Osborne, et al.. (2015). The RASH Framework: enabling HTML+RDF submissions in scholarly venues. Open Research Online (The Open University). 1486.6 indexed citations
Osborne, Francesco, Silvio Peroni, & Enrico Motta. (2014). Clustering citation distributions for semantic categorization and citation prediction. Open Research Online (The Open University). 1282. 24–35.2 indexed citations
19.
Cena, Federica, et al.. (2013). A Proposal for an Open Local Movie Recommender.. Institutional Research Information System University of Turin (University of Turin). 1–6.
20.
Motta, Enrico & Francesco Osborne. (2012). Making sense of research with rexplore. Open Research Online (The Open University). 49–52.4 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.