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.
Robust and fast similarity search for moving object trajectories
2005901 citationsLei Chen, M. TAMER ÖZSU 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 Vincent Oria'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 Vincent Oria with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vincent Oria more than expected).
This network shows the impact of papers produced by Vincent Oria. 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 Vincent Oria. The network helps show where Vincent Oria may publish in the future.
Co-authorship network of co-authors of Vincent Oria
This figure shows the co-authorship network connecting the top 25 collaborators of Vincent Oria.
A scholar is included among the top collaborators of Vincent Oria 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 Vincent Oria. Vincent Oria is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bartolini, Ilaria, Paolo Ciaccia, Lei Chen, & Vincent Oria. (2006). A meta-index to integrate specific indexes: Application to multimedia. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 29–35.
Bartolini, Ilaria, Paolo Ciaccia, Vincent Oria, & M. TAMER ÖZSU. (2004). Integrating the Results of Multimedia Sub-Queries Using Qualitative Preferences.. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 66–75.4 indexed citations
Oria, Vincent, Nicolas D. Georganas, Radu Popescu-Zeletin, et al.. (2001). Proceedings of the 2001 international workshop on Multimedia middleware.2 indexed citations
15.
Lin, Shu, M. TAMER ÖZSU, Vincent Oria, & Raymond T. Ng. (2001). An Extendible Hash for Multi-Precision Similarity Querying of Image Databases. Very Large Data Bases. 221–230.32 indexed citations
16.
Li, Zheng, et al.. (2001). A New Architecture for Web Meta-Search Engines. Journal of the Association for Information Systems.5 indexed citations
Oria, Vincent, et al.. (2000). DISIMA. 600–600.4 indexed citations
19.
Oria, Vincent, et al.. (1999). Modeling and Querying Shapes in an Image Database System.. 34–40.1 indexed citations
20.
Oria, Vincent, et al.. (1995). Spatial Database Querying with Logic Languages. 342–349.2 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.