Massimo Rovini

24 papers receiving 300 citations

Peers

Massimo Rovini
Comparison fields: 5 of 17
  • Computer Networks and Communications 289
  • Electrical and Electronic Engineering 288
  • Artificial Intelligence 39
  • Media Technology 17
  • Molecular Biology 10
Replace P. Bisaglia with:
P. Bisaglia Italy
Filippo Tosato United Kingdom
Matthias Alles Germany
Loïc Brunel France
Zongwang Li United States
Kee-Bong Song United States
S.S. Chakraborty Finland
C.F. Ball Germany
Amichai Sanderovich Israel
Zhenning Shi Australia
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Citations per year

Countries citing papers authored by Massimo Rovini

Since Specialization
Citations

This map shows the geographic impact of Massimo Rovini'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 Massimo Rovini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Rovini more than expected).

Fields of papers citing papers by Massimo Rovini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Massimo Rovini. 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 Massimo Rovini. The network helps show where Massimo Rovini may publish in the future.

Co-authorship network of co-authors of Massimo Rovini

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Rovini. A scholar is included among the top collaborators of Massimo Rovini 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 Massimo Rovini. Massimo Rovini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 8
2 2
3
Low-power techniques for flexible channel decoders
1
4 23
5 1
6 3
7 4
8 2
9 3
10 6
11 17
12 42
13 24
14
A 565 Mbps Multi-Rate IP-core Decoder of Structured LDPC Codes
1
15 28
16 6
17 31
18 0
19
Iterative Decoders Based on Statistical Multiplexing
6
20
A Low-Complexity and High-Resolution Algorithm for the Magnitude Approximation of Complex Numbers.
8

About Massimo Rovini

Massimo Rovini is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Signal Processing, having authored 25 papers that have together received 308 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (20 papers), Error Correcting Code Techniques (19 papers) and Cooperative Communication and Network Coding (13 papers). The work is most often cited by research in Computer Networks and Communications (289 citations), Electrical and Electronic Engineering (288 citations) and Media Technology (17 citations). Massimo Rovini has collaborated with scholars based in Italy, Netherlands and Germany. Frequent co-authors include Luca Fanucci, T. Brack, Frank Kienle, Matthias Alles, Norbert Wehn, Alfonso García Martínez, Marco Luise, Sergio Saponara, C. Ciofi and George Lentaris. Their work appears in journals such as Electronics Letters, EURASIP Journal on Advances in Signal Processing and Circuits Systems and Signal Processing.

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.

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