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.
Omni-Scale Feature Learning for Person Re-Identification
Countries citing papers authored by Andrea Cavallaro
Since
Specialization
Citations
This map shows the geographic impact of Andrea Cavallaro'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 Andrea Cavallaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Cavallaro more than expected).
Fields of papers citing papers by Andrea Cavallaro
This network shows the impact of papers produced by Andrea Cavallaro. 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 Andrea Cavallaro. The network helps show where Andrea Cavallaro may publish in the future.
Co-authorship network of co-authors of Andrea Cavallaro
This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Cavallaro.
A scholar is included among the top collaborators of Andrea Cavallaro 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 Andrea Cavallaro. Andrea Cavallaro is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Taj, Murtaza, et al.. (2008). Event analysis on TRECVid 2008 LondonGatwick dataset.. TRECVID.2 indexed citations
17.
Taj, Murtaza, Emilio Maggio, & Andrea Cavallaro. (2007). Objective Evaluation of Pedestrian and Vehicle Tracking on the CLEAR Surveillance Dataset.. 160–173.1 indexed citations
18.
Steiger, Olivier, Andrea Cavallaro, & Touradj Ebrahimi. (2005). Real-Time Generation of Annotated Video for Surveillance. Infoscience (Ecole Polytechnique Fédérale de Lausanne).3 indexed citations
19.
Cavallaro, Andrea, E. Salvador, & Touradj Ebrahimi. (2004). Detecting shadows in image sequences. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 165–174.30 indexed citations
20.
Cavallaro, Andrea, E. Salvador, & Touradj Ebrahimi. (2004). Shadow detection in image sequences. Infoscience (Ecole Polytechnique Fédérale de Lausanne).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.