Massimo Gallo

1.4k total citations
29 papers, 517 citations indexed

About

Massimo Gallo is a scholar working on Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Massimo Gallo has authored 29 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Networks and Communications, 5 papers in Hardware and Architecture and 4 papers in Artificial Intelligence. Recurrent topics in Massimo Gallo's work include Caching and Content Delivery (19 papers), Software-Defined Networks and 5G (12 papers) and Cooperative Communication and Network Coding (6 papers). Massimo Gallo is often cited by papers focused on Caching and Content Delivery (19 papers), Software-Defined Networks and 5G (12 papers) and Cooperative Communication and Network Coding (6 papers). Massimo Gallo collaborates with scholars based in France, Italy and Germany. Massimo Gallo's co-authors include Luca Muscariello, Giovanna Carofiglio, Rafael Laufer, Michele Papalini, Sen Wang, Diego Perino, Alain Simonian, Christian Tanguy, Bruno Kauffmann and Emilio Leonardi and has published in prestigious journals such as ACM SIGCOMM Computer Communication Review, Computer Networks and Computer Communications.

In The Last Decade

Massimo Gallo

29 papers receiving 500 citations

Peers

Massimo Gallo
Comparison fields: 5 of 22
  • Computer Networks and Communications 509
  • Materials Chemistry 84
  • Electrical and Electronic Engineering 46
  • Computer Vision and Pattern Recognition 38
  • Information Systems 36
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Citations per field, relative to Massimo Gallo
Massimo Gallo · 1×
Citations per year, relative to Massimo Gallo
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Countries citing papers authored by Massimo Gallo

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Gallo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Gallo

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Gallo. A scholar is included among the top collaborators of Massimo Gallo 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 Gallo. Massimo Gallo 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
# Work Indexed citations
1 9
2 6
3
Comparing the Performance of State-of-the-Art Software Switches for NFV
2
4 18
5 6
6
ClickNF: a Modular Stack for Custom Network Functions
24
7 1
8 3
9 1
10 20
11 10
12 4
13 4
14 8
15
Hierarchical Content Stores in High-speed ICN Routers: Emulation and Prototype Implementation
2
16
Content-Centric Networking Packet Header Format
2
17 7
18 26
19 35
20 80

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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