Marco Ruffini

2.8k citations
161 papers · 1.8k indexed · 1 hit paper · h-index 22

Impact in

Papers in

Marco Ruffini

147 papers receiving 1.7k citations

Hit Papers

An Overview on Application of Machine Learning Techniques in Optical Networks 2018 · 420 citations
4200+2+5Years since publication100200300400

Peers

Marco Ruffini
Comparison fields: 5 of 70
  • Computer Networks and Communications 697
  • Electrical and Electronic Engineering 1.4k
  • Information Systems 145
  • Media Technology 52
  • Artificial Intelligence 173
Replace Luis Velasco with:
Luis Velasco Spain
Marc Ruiz Spain
Avishek Nag Ireland
Gangxiang Shen China
Antonio Manzalini Italy
Raül Muñoz Spain
Luca Valcarenghi Italy
Lena Wosinska Sweden
Xiaolong Yang China
Zuriati Ahmad Zukarnain Malaysia
Marco Ruffini relative to Luis Velasco Spain Luis Velasco's profile →
Citations per field
00.5×1.5×
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 161 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 →
2018420
2 201468
3 202257
4 200555
5 201250
6 202049
7 202032
8 201530
9 202030
10 201725
11 201524
12 201524
13 202024
14 202323
15 201423
16 201623
17 201523
18 202023
19 202223
20 201322

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 161 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Optical Network Technologies (91 papers), Advanced Photonic Communication Systems (87 papers), Optical Network Technologies (78 papers), Software-Defined Networks and 5G (41 papers), Advanced MIMO Systems Optimization (15 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 (697 citations), Electrical and Electronic Engineering (1.4k citations), Information Systems (145 citations), Media Technology (52 citations) and Artificial Intelligence (173 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, Journal of Lightwave Technology, IEEE Communications Magazine, 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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