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.
Understanding code mobility
1998647 citationsGian Pietro Picco, Giovanni Vigna et al.profile →
Socially-aware routing for publish-subscribe in delay-tolerant mobile ad hoc networks
2008342 citationsPaolo Costa, Gian Pietro Picco 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 Gian Pietro Picco
Since
Specialization
Citations
This map shows the geographic impact of Gian Pietro Picco'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 Gian Pietro Picco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gian Pietro Picco more than expected).
Fields of papers citing papers by Gian Pietro Picco
This network shows the impact of papers produced by Gian Pietro Picco. 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 Gian Pietro Picco. The network helps show where Gian Pietro Picco may publish in the future.
Co-authorship network of co-authors of Gian Pietro Picco
This figure shows the co-authorship network connecting the top 25 collaborators of Gian Pietro Picco.
A scholar is included among the top collaborators of Gian Pietro Picco 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 Gian Pietro Picco. Gian Pietro Picco is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Picco, Gian Pietro, et al.. (2020). Ultra-wideband concurrent ranging. Institutional Research Information System (Università degli Studi di Trento).27 indexed citations
Casati, Fabio, Florian Daniel, Joakim Eriksson, et al.. (2012). Demo Abstract: From Business Process Specifications to Sensor Network Deployments. KTH Publication Database DiVA (KTH Royal Institute of Technology).1 indexed citations
11.
Ceriotti, Matteo, Michele Corrà, Renato Lo Cigno, et al.. (2011). Is there light at the ends of the tunnel? Wireless sensor networks for adaptive lighting in road tunnels. KTH Publication Database DiVA (KTH Royal Institute of Technology). 187–198.46 indexed citations
Balzarotti, Davide, Paolo Costa, & Gian Pietro Picco. (2007). The LighTS tuple space framework and its customization for context-aware applications. Institutional Research Information System (Università degli Studi di Trento). 5(2). 215–231.18 indexed citations
Jacquet, Jean-Marie & Gian Pietro Picco. (2006). Introduction to the special issue. Science of Computer Programming. 64(2). 185–186.2 indexed citations
Cugola, Gianpaolo, Carlo Ghezzi, Gian Pietro Picco, & Giovanni Vigna. (1997). A Characterization of Mobility and State Distribution in Mobile Code Languages. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 309–318.6 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.