Fernando Kuipers

112 papers receiving 3.2k citations

Hit Papers

OpenNetMon: Network monitoring in OpenFlow Software-Defin...20142026201820222014100200300

Peers

Fernando Kuipers
Comparison fields: 5 of 106
  • Computer Networks and Communications 2.5k
  • Electrical and Electronic Engineering 1.5k
  • Statistical and Nonlinear Physics 354
  • Artificial Intelligence 268
  • Information Systems 227
Replace Song Chong with:
Song Chong South Korea
Injong Rhee United States
Alberto Montresor Italy
Ahmed Helmy United States
N.D. Georganas Canada
Natarajan Meghanathan United States
Guolong Chen China
Manish Jain United States
Eirini Eleni Tsiropoulou United States
Hyoungshick Kim South Korea
Fernando Kuipers relative to Song Chong South Korea Song Chong's profile →
Citations per field
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Citations per year

Countries citing papers authored by Fernando Kuipers

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Kuipers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Kuipers

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Kuipers. A scholar is included among the top collaborators of Fernando Kuipers 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 Kuipers. Fernando Kuipers 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 2
3 2
4 5
5 8
6 26
7
LoRaWAN Class B Multicast Scalability
2
8
Sequential Zeroing: Online Heavy-Hitter Detection on Programmable Hardware
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9 55
10 30
11 6
12 22
13
Survivable Impairment-aware Traffic Grooming
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14 6
15 120
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Variants of the Min-Sum Link-Disjoint Paths Problem
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On-line survivable routing in WDM networks
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Dynamic Routing in QoS-aware Traffic Engineered Networks
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19 55
20 227

About Fernando Kuipers

Fernando Kuipers is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Electrical and Electronic Engineering, having authored 122 papers that have together received 3.4k indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (47 papers), Advanced Optical Network Technologies (45 papers) and Network Traffic and Congestion Control (31 papers). The work is most often cited by research in Computer Networks and Communications (2.5k citations), Statistical and Nonlinear Physics (354 citations) and Electrical and Electronic Engineering (1.5k citations). Fernando Kuipers has collaborated with scholars based in Netherlands, Israel and United States. Frequent co-authors include Piet Van Mieghem, Niels L. M. van Adrichem, Christian Doerr, Marwan Krunz, Turgay Korkmaz, Song Yang, Hale Çetinay, Stojan Trajanovski, Ruud van de Bovenkamp and Gil Zussman. Their work appears in journals such as IEEE Access, IEEE Journal on Selected Areas in Communications and IEEE Communications Magazine.

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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