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.
Dummynet
1997638 citationsLuigi RizzoACM SIGCOMM Computer Communication Reviewprofile →
Effective erasure codes for reliable computer communication protocols
1997631 citationsLuigi RizzoACM SIGCOMM Computer Communication Reviewprofile →
E2
2015261 citationsLuigi Rizzo et al.CINECA IRIS Institutial research information system (University of Pisa)profile →
Citations per year, relative to Luigi Rizzo Luigi Rizzo (= 1×)
peers
John Jannotti
Countries citing papers authored by Luigi Rizzo
Since
Specialization
Citations
This map shows the geographic impact of Luigi Rizzo'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 Luigi Rizzo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luigi Rizzo more than expected).
This network shows the impact of papers produced by Luigi Rizzo. 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 Luigi Rizzo. The network helps show where Luigi Rizzo may publish in the future.
Co-authorship network of co-authors of Luigi Rizzo
This figure shows the co-authorship network connecting the top 25 collaborators of Luigi Rizzo.
A scholar is included among the top collaborators of Luigi Rizzo 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 Luigi Rizzo. Luigi Rizzo is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Rizzo, Luigi, et al.. (2016). Very high speed link emulation with TLEM. CINECA IRIS Institutial research information system (University of Pisa).2 indexed citations
Rizzo, Luigi. (2012). Netmap: a novel framework for fast packet I/O. CINECA IRIS Institutial research information system (University of Pisa). 101–112.9 indexed citations
8.
Rizzo, Luigi. (2012). Revisiting network I/O APIs. Communications of the ACM. 55(3). 45–51.35 indexed citations
9.
Rodríguez, Pablo, Ernst W. Biersack, Konstantina Papagiannaki, & Luigi Rizzo. (2009). Proceedings of the ACM SIGCOMM 2009 conference on Data communication. 39.7 indexed citations
10.
Rodríguez, Pablo, Ernst W. Biersack, Konstantina Papagiannaki, & Luigi Rizzo. (2009). Proceedings of the ACM SIGCOMM 2008 Conference on Applications, Technologies, Architectures, and Protocols for Computer Communications, Barcelona, Spain, August 16-21, 2009.1 indexed citations
11.
Rizzo, Luigi, et al.. (2006). Proceedings of the ACM SIGCOMM 2006 Conference on Applications, Technologies, Architectures, and Protocols for Computer Communications, Pisa, Italy, September 11-15, 2006.2 indexed citations
12.
Rizzo, Luigi, Tom Anderson, & Nick McKeown. (2006). Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications.4 indexed citations
Rizzo, Luigi. (1998). Dummynet and forward error correction. CINECA IRIS Institutial research information system (University of Pisa). 31–31.48 indexed citations
16.
Mullender, Sape J., Paul Havinga, Gunnar Hartvigsen, et al.. (1998). The MobyDick architecture. University of Twente Research Information.
17.
Rizzo, Luigi. (1997). On the feasibility of software FEC.50 indexed citations
18.
Rizzo, Luigi. (1997). Effective erasure codes for reliable computer communication protocols. ACM SIGCOMM Computer Communication Review. 27(2). 24–36.631 indexed citations breakdown →
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.