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.
Energy Efficiency in the Future Internet: A Survey of Existing Approaches and Trends in Energy-Aware Fixed Network Infrastructures
2010483 citationsRaffaele Bolla, Roberto Bruschi 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 Franco Davoli'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 Franco Davoli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Franco Davoli more than expected).
This network shows the impact of papers produced by Franco Davoli. 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 Franco Davoli. The network helps show where Franco Davoli may publish in the future.
Co-authorship network of co-authors of Franco Davoli
This figure shows the co-authorship network connecting the top 25 collaborators of Franco Davoli.
A scholar is included among the top collaborators of Franco Davoli 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 Franco Davoli. Franco Davoli is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kim, Haesik, et al.. (2013). ENVIRAN: Energy efficient virtual radio access networks. TECNALIA Publications (Fundación TECNALIA Research & Innovation). 1–5.2 indexed citations
Caviglione, Luca, Franco Davoli, P. Molini, & Sandro Zappatore. (2006). Design and preliminary analysis of a framework for integrating real and virtual instrumentation within a grid infrastructure. CINECA IRIS Institutial Research Information System (University of Genoa). 5–11.2 indexed citations
Bolla, Raffaele, Franco Davoli, & Matteo Repetto. (2001). ON-LINE ESTIMATION OF ROAD TRAFFIC CONDITIONS BY USING MOBILE CELLULAR NETWORKS.2 indexed citations
14.
Bolla, Raffaele, et al.. (2000). ESTIMATING ROAD TRAFFIC PARAMETERS FROM MOBILE COMMUNICATIONS.11 indexed citations
15.
Bolla, Raffaele, et al.. (1996). A MOBILE NETWORK ARCHITECTURE FOR VEHICLE-TO VEHICLE COMMUNICATIONS.1 indexed citations
16.
Davoli, Franco, et al.. (1996). Interactive distance learning over isdn in electronic engineering education. International journal of engineering education. 12(2). 92–99.1 indexed citations
17.
Davoli, Franco, et al.. (1993). Design and experimental monitoring of an ISDN-based multi-media distance learning service. 157–166.2 indexed citations
18.
Aicardi, M., Franco Davoli, & R. Minciardi. (1989). On team strategies for dynamic routing in packet-switched communication networks. CINECA IRIS Institutial Research Information System (University of Genoa).2 indexed citations
19.
Aicardi, M., Giuseppe Casalino, Franco Davoli, & R. Minciardi. (1986). A multiaccess scheme for the maximization of one-step throughput. CINECA IRIS Institutial Research Information System (University of Genoa).6 indexed citations
20.
Davoli, Franco. (1984). Team decision theory and the control of a communication channel. CINECA IRIS Institutial Research Information System (University of Genoa).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.