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.
A systematic review of open government data initiatives
2015555 citationsJudie Attard, Fabrizio Orlandi et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Simon Scerri'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 Simon Scerri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Scerri more than expected).
This network shows the impact of papers produced by Simon Scerri. 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 Simon Scerri. The network helps show where Simon Scerri may publish in the future.
Co-authorship network of co-authors of Simon Scerri
This figure shows the co-authorship network connecting the top 25 collaborators of Simon Scerri.
A scholar is included among the top collaborators of Simon Scerri 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 Simon Scerri. Simon Scerri 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.
Curry, Edward, Simon Scerri, & Tuomo Tuikka. (2022). Data Spaces. Universidade Nova de Lisboa's Repository (Universidade Nova de Lisboa).26 indexed citations
Graux, Damien, et al.. (2019). Querying Data Lakes using Spark and Presto. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 3574–3578.7 indexed citations
Scerri, Simon, et al.. (2012). DCON: Interoperable Context Representation for Pervasive Environments. National Conference on Artificial Intelligence.5 indexed citations
13.
Scerri, Simon, et al.. (2012). Knowledge Discovery in Distributed Social Web Sharing Activities.. 26–33.9 indexed citations
Scerri, Simon, et al.. (2008). The State of the Art in Tag Ontologies: A Semantic Model for Tagging and Folksonomies. International Conference on Dublin Core and Metadata Applications. 128–137.29 indexed citations
18.
Scerri, Simon, et al.. (2008). Evaluating the Ontology underlying sMail - the Conceptual Framework for Semantic Email Communication. Language Resources and Evaluation.3 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.