Ugo Fiore

3.9k citations
97 papers · 2.7k indexed · 4 hit papers · h-index 27
Topics
Network Security and Intrusion Detection (15 papers)Advanced Optical Network Technologies (13 papers)Cloud Computing and Resource Management (11 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsRenewable Energy
Partner nations
ItalySpainIndia

In The Last Decade

Ugo Fiore

94 papers receiving 2.5k citations

Hit Papers

Using generative adversarial networks for improving class...20132026201720212017201320212022100200300

Peers

Ugo Fiore
Comparison fields: 5 of 134
  • Computer Networks and Communications 1.1k
  • Artificial Intelligence 1.0k
  • Information Systems 690
  • Electrical and Electronic Engineering 511
  • Signal Processing 301
Replace Karl Andersson with:
Karl Andersson Sweden
Diego Reforgiato Recupero Italy
Theyazn H. H. Aldhyani Saudi Arabia
Omar Khadeer Hussain Australia
Yunchuan Sun China
Edward Curry Ireland
Farookh Khadeer Hussain Australia
Behrouz H. Far Canada
Chun‐Wei Tsai Taiwan
Ugo Fiore relative to Karl Andersson Sweden Karl Andersson's profile →
Citations per field
00.5×3.5×
Karl Andersson · 1×
Citations per year

Countries citing papers authored by Ugo Fiore

Since Specialization
Citations

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

Fields of papers citing papers by Ugo Fiore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ugo Fiore

This figure shows the co-authorship network connecting the top 25 collaborators of Ugo Fiore. A scholar is included among the top collaborators of Ugo Fiore 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 Ugo Fiore. Ugo Fiore 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 0
2 0
3 1
4 3
5 16
6 9
7 16
8 5
9 9
10 2
11 30
12 5
13 37
14 10
15 44
16 13
17 15
18 43
19 25
20
Genetic-based traffic engineering in GMPLS networks
1

About Ugo Fiore

Ugo Fiore is a scholar working on Computer Networks and Communications, Management Science and Operations Research and Information Systems, having authored 97 papers that have together received 2.7k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (15 papers), Advanced Optical Network Technologies (13 papers) and Cloud Computing and Resource Management (11 papers). The work is most often cited by research in Computer Networks and Communications (1.1k citations), Artificial Intelligence (1.0k citations) and Information Systems (690 citations). Ugo Fiore has collaborated with scholars based in Italy, Spain and India. Frequent co-authors include Francesco Palmieri, Alfredo De Santis, Aniello Castiglione, P Zanetti, Sergio Ricciardi, Francesca Perla, G. R. Gangadharan, Chandrashekar Jatoth, Amir M. Fathollahi‐Fard and Leila Moslemi Naeni. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Renewable Energy.

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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