Marco Ruffini

2.9k citations
165 papers · 1.9k · 1 hit paper · h-index 22

Impact in

Papers in

Marco Ruffini

149 papers receiving 1.8k citations

Marco Ruffini's Hit Papers

An Overview on Application of Machine Learning Techniques in Optical Networks 2018 · 434 citations
4340+2+5Years since publication100200300400

Peers

Marco Ruffini
Comparison fields: 5 of 72
  • Computer Networks and Communications 724
  • Electrical and Electronic Engineering 1.5k
  • Information Systems 155
  • Media Technology 53
  • Artificial Intelligence 177
Replace Luis Velasco with:
Luis Velasco Spain
Marc Ruiz Spain
Avishek Nag Ireland
Gangxiang Shen China
Raül Muñoz Spain
Luca Valcarenghi Italy
Antonio Manzalini Italy
Lena Wosinska Sweden
Xiaolong Yang China
Claudio Cicconetti Italy
Marco Ruffini relative to Luis Velasco Spain Luis Velasco's profile →
Citations per field
00.5×1.7×
Luis Velasco · 1×
Citations per year

Countries citing papers authored by Marco Ruffini

Since Specialization
Citations

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

Fields of papers citing papers by Marco Ruffini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marco Ruffini, 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 Marco Ruffini Line = papers co-authored together Marco Ruffini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 165 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An Overview on Application of Machine Learning Techniques in Optical Networks
Hit paper breakdown →
2018434
2 201468
3 202260
4 200555
5 201251
6 202050
7 202032
8 202031
9 201530
10 202326
11 201725
12 202025
13 202025
14 202224
15 201524
16 201524
17 201423
18 201623
19 201523
20 201622

About Marco Ruffini

Marco Ruffini is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 165 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Optical Network Technologies (93 papers), Advanced Photonic Communication Systems (90 papers), Optical Network Technologies (79 papers), Software-Defined Networks and 5G (41 papers), Advanced MIMO Systems Optimization (16 papers), IoT and Edge/Fog Computing (11 papers), Blockchain Technology Applications and Security (8 papers) and Image and Video Quality Assessment (8 papers). The work is most often cited by research in Computer Networks and Communications (724 citations), Electrical and Electronic Engineering (1.5k citations), Information Systems (155 citations), Media Technology (53 citations) and Artificial Intelligence (177 citations). Marco Ruffini has collaborated with scholars based in Ireland, United States and Germany. Frequent co-authors include David B. Payne, Avishek Nag, Irene Macaluso, Darko Zibar, Cristina Rottondi, Francesco Musumeci, Massimo Tornatore, Frank Slyne, Gabriel‐Miro Muntean and Linda Doyle. Their work appears in journals such as Journal of Optical Communications and Networking, IEEE Communications Magazine, Journal of Lightwave Technology, IEEE Transactions on Network and Service Management and IEEE Communications Surveys & Tutorials.

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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