Fernando M. V. Ramos

6.3k citations
36 papers · 4.3k indexed · 2 hit papers · h-index 12

Fernando M. V. Ramos

33 papers receiving 4.1k citations

Hit Papers

Software-Defined Networking: A Comprehensive Survey20132026201720212014201310002.0k3.0k

Peers

Fernando M. V. Ramos
Comparison fields: 5 of 60
  • Computer Networks and Communications 4.1k
  • Electrical and Electronic Engineering 1.3k
  • Artificial Intelligence 749
  • Information Systems 563
  • Control and Systems Engineering 271
Replace Diego Kreutz with:
Diego Kreutz Brazil
Siamak Azodolmolky Greece
Brandon Heller United States
Peilin Hong China
Bechir Hamdaoui United States
Thierry Turletti France
Mingwei Xu China
Juan Felipe Botero Colombia
Rashid Mijumbi Spain
Zehua Guo China
Fernando M. V. Ramos relative to Diego Kreutz Brazil Diego Kreutz's profile →
Citations per field
00.5×1.5×
Diego Kreutz · 1×
Citations per year

Countries citing papers authored by Fernando M. V. Ramos

Since Specialization
Citations

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

Fields of papers citing papers by Fernando M. V. Ramos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando M. V. Ramos. 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 Fernando M. V. Ramos. The network helps show where Fernando M. V. Ramos may publish in the future.

Co-authorship network of co-authors of Fernando M. V. Ramos

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando M. V. Ramos. A scholar is included among the top collaborators of Fernando M. V. Ramos 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 Fernando M. V. Ramos. Fernando M. V. Ramos 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 2
4 2
5 86
6 21
7 10
8 4
9 18
10 2
11 5
12 6
13 20
14 6
15
Software-Defined Networking: A Comprehensive Surveybreakdown →
3392
16 70
17 2
18 12
19 4
20 1

About Fernando M. V. Ramos

Fernando M. V. Ramos is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems, having authored 36 papers that have together received 4.3k indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (19 papers), Caching and Content Delivery (11 papers) and Network Security and Intrusion Detection (7 papers). The work is most often cited by research in Computer Networks and Communications (4.1k citations), Information Systems (563 citations) and Signal Processing (261 citations). Fernando M. V. Ramos has collaborated with scholars based in Portugal, United Kingdom and Spain. Frequent co-authors include Diego Kreutz, Christian Esteve Rothenberg, Siamak Azodolmolky, Steve Uhlig, Paulo Verı́ssimo, Alysson Bessani, Paulo Ferreira, L. Miguel Rodrigues, Jon Crowcroft and Richard Gibbens. Their work appears in journals such as Proceedings of the IEEE, IEEE Communications Magazine and IEEE Communications Letters.

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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