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 survey of design techniques for system-level dynamic power management
2000838 citationsLuca Benini, Alessandro Bogliolo 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 Alessandro Bogliolo
Since
Specialization
Citations
This map shows the geographic impact of Alessandro Bogliolo'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 Alessandro Bogliolo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandro Bogliolo more than expected).
Fields of papers citing papers by Alessandro Bogliolo
This network shows the impact of papers produced by Alessandro Bogliolo. 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 Alessandro Bogliolo. The network helps show where Alessandro Bogliolo may publish in the future.
Co-authorship network of co-authors of Alessandro Bogliolo
This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Bogliolo.
A scholar is included among the top collaborators of Alessandro Bogliolo 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 Alessandro Bogliolo. Alessandro Bogliolo is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bogliolo, Alessandro, et al.. (2011). A Service-Based Model for the Internet Value Chain. CINECA IRIS Institutional Research information system (University of Urbino). 13–18.2 indexed citations
10.
Torrisi, Giovanni Luca, et al.. (2008). LoL Classroom: A Virtual University Classroom Based on Enhanced Chats. CINECA IRIS Institutional Research information system (University of Urbino). 11(2).4 indexed citations
Vendrame, L., et al.. (2005). New Applications of Cross-Talk-Based Capacitance Measurements. CINECA IRIS Institutional Research information system (University of Urbino).1 indexed citations
Bogliolo, Alessandro, et al.. (2001). An RTL Power Estimation Tool with On-Line Model Building Capabilities. CINECA IRIS Institutional Research information system (University of Urbino).5 indexed citations
Bogliolo, Alessandro, et al.. (1999). RTL Macromodels for Non-Stationary Workloads. PORTO Publications Open Repository TOrino (Politecnico di Torino). 313–322.1 indexed citations
17.
Bogliolo, Alessandro, et al.. (1999). Combinational Characterization-Based Power Macro-Models for Sequential Macros. CINECA IRIS Institutional Research information system (University of Urbino). 14(11). 293–301.1 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.