Gianluca Moro

1.6k citations
77 papers · 711 · h-index 15

Impact in

Papers in

Gianluca Moro

68 papers receiving 686 citations

Peers

Gianluca Moro
Comparison fields: 5 of 76
  • Artificial Intelligence 483
  • General Social Sciences 29
  • Management Science and Operations Research 79
  • Computer Networks and Communications 140
  • Signal Processing 53
Replace Michael Färber with:
Michael Färber Germany
Jianglei Han Singapore
Donghong Ji China
Nicholas Kolkin United States
Lev Ratinov United States
Baogang Wei China
Radu Florian United States
Jagdev Bhogal United Kingdom
Xinyan Xiao China
Gianluca Moro relative to Michael Färber Germany Michael Färber's profile →
Citations per field
00.5×4.1×
Michael Färber · 1×
Citations per year

Countries citing papers authored by Gianluca Moro

Since Specialization
Citations

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

Fields of papers citing papers by Gianluca Moro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gianluca Moro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gianluca Moro Line = papers co-authored together Gianluca Moro links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200355
2 202138
3 202327
4 202226
5 201526
6 201826
7 201625
8 202224
9 202120
10 201519
11 201118
12 201716
13 201615
14 202314
15 201514
16 201514
17 200114
18
Distributed data clustering in multi-dimensional peer-to-peer networks
201014
19 201414
20 202313

About Gianluca Moro

Gianluca Moro is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Molecular Biology and Management Science and Operations Research, having authored 77 papers that have together received 711 indexed citations. Recurring topics across this work include Topic Modeling (25 papers), Peer-to-Peer Network Technologies (12 papers), Natural Language Processing Techniques (11 papers), Biomedical Text Mining and Ontologies (11 papers), Advanced Text Analysis Techniques (8 papers), Energy Efficient Wireless Sensor Networks (7 papers), Mobile Ad Hoc Networks (7 papers) and Data Mining Algorithms and Applications (6 papers). The work is most often cited by research in Artificial Intelligence (483 citations), General Social Sciences (29 citations), Management Science and Operations Research (79 citations), Computer Networks and Communications (140 citations) and Signal Processing (53 citations). Gianluca Moro has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Giacomo Domeniconi, Stefano Lodi, Antonella Carbonaro, Matthias Klusch, Marco Masseroli, Pietro Pinoli, Marco Ramilli, Luciano Margara, Gustavo Marfia and Manolis Koubarakis. Their work appears in journals such as Sensors, Artificial Intelligence and Law, Neurocomputing, Computers & Security and Electronics.

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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