Fernando Kuipers

5.8k total citations · 1 hit paper
122 papers, 3.4k citations indexed

About

Fernando Kuipers is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Fernando Kuipers has authored 122 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Computer Networks and Communications, 63 papers in Electrical and Electronic Engineering and 22 papers in Statistical and Nonlinear Physics. Recurrent topics in Fernando Kuipers's work include Software-Defined Networks and 5G (47 papers), Advanced Optical Network Technologies (45 papers) and Network Traffic and Congestion Control (31 papers). Fernando Kuipers is often cited by papers focused on Software-Defined Networks and 5G (47 papers), Advanced Optical Network Technologies (45 papers) and Network Traffic and Congestion Control (31 papers). Fernando Kuipers collaborates with scholars based in Netherlands, Israel and United States. Fernando Kuipers's 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 and has published in prestigious journals such as IEEE Access, IEEE Journal on Selected Areas in Communications and IEEE Communications Magazine.

In The Last Decade

Fernando Kuipers

112 papers receiving 3.2k citations

Hit Papers

OpenNetMon: Network monitoring in OpenFlow Software-Defin... 2014 2026 2018 2022 2014 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fernando Kuipers Netherlands 31 2.5k 1.5k 354 268 227 122 3.4k
Ahmed Helmy United States 34 5.1k 2.0× 2.2k 1.4× 161 0.5× 233 0.9× 151 0.7× 193 5.7k
Luiz A. DaSilva United States 34 4.3k 1.7× 2.9k 1.9× 121 0.3× 496 1.9× 278 1.2× 248 5.5k
Silvia Giordano Switzerland 30 3.1k 1.2× 1.3k 0.8× 100 0.3× 269 1.0× 256 1.1× 169 3.8k
Song Chong South Korea 30 3.5k 1.4× 2.6k 1.7× 102 0.3× 180 0.7× 288 1.3× 139 4.5k
Marco Fiore Spain 35 2.6k 1.0× 2.5k 1.6× 92 0.3× 473 1.8× 164 0.7× 155 4.1k
Manish Jain United States 19 1.4k 0.6× 454 0.3× 57 0.2× 322 1.2× 235 1.0× 67 2.1k
Injong Rhee United States 37 6.9k 2.7× 3.6k 2.3× 131 0.4× 334 1.2× 347 1.5× 123 8.1k
N.D. Georganas Canada 23 1.3k 0.5× 675 0.4× 95 0.3× 100 0.4× 97 0.4× 147 2.3k
Ioannis Stavrakakis Greece 24 2.1k 0.8× 596 0.4× 77 0.2× 99 0.4× 176 0.8× 189 2.5k

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
1.
Yang, Song, Fan Li, Liehuang Zhu, et al.. (2025). HyFaaS: Accelerating Serverless Workflows by Unleashing Hybrid Resource Elasticity. IEEE Transactions on Parallel and Distributed Systems. 37(1). 272–286.
2.
Kozłowski, Wojciech, et al.. (2024). QuIP: A P4 Quantum Internet Protocol Prototyping Framework. IEEE Journal on Selected Areas in Communications. 42(7). 1936–1949. 2 indexed citations
3.
Kuipers, Fernando, et al.. (2023). Slowdown as a Metric for Congestion Control Fairness. Research Repository (Delft University of Technology). 205–212. 2 indexed citations
4.
Fiebig, Tobias, et al.. (2023). Heads in the Clouds? Measuring Universities’ Migration to Public Clouds: Implications for Privacy & Academic Freedom. Proceedings on Privacy Enhancing Technologies. 2023(2). 117–150. 5 indexed citations
5.
Singh, Chandramani, et al.. (2021). TCPSbed: A Modular Testbed for Tactile Internet-Based Cyber-Physical Systems. IEEE/ACM Transactions on Networking. 30(2). 796–811. 8 indexed citations
6.
Liu, Qingzhi, Long Cheng, Renan C. A. Alves, et al.. (2021). Cluster-based flow control in hybrid software-defined wireless sensor networks. Computer Networks. 187. 107788–107788. 26 indexed citations
7.
Kuipers, Fernando, et al.. (2020). LoRaWAN Class B Multicast Scalability. Research Repository (Delft University of Technology). 609–613. 2 indexed citations
8.
Kuipers, Fernando, et al.. (2020). Sequential Zeroing: Online Heavy-Hitter Detection on Programmable Hardware. Data Archiving and Networked Services (DANS). 422–430. 4 indexed citations
9.
Çetinay, Hale, Saleh Soltan, Fernando Kuipers, Gil Zussman, & Piet Van Mieghem. (2017). Comparing the Effects of Failures in Power Grids Under the AC and DC Power Flow Models. IEEE Transactions on Network Science and Engineering. 5(4). 301–312. 55 indexed citations
10.
Çetinay, Hale, Fernando Kuipers, & Piet Van Mieghem. (2016). A Topological Investigation of Power Flow. IEEE Systems Journal. 12(3). 2524–2532. 30 indexed citations
11.
Yang, Song, Stojan Trajanovski, & Fernando Kuipers. (2016). Optimization problems in correlated networks. PubMed. 3(1). 1–1. 6 indexed citations
12.
Yang, Song, Stojan Trajanovski, & Fernando Kuipers. (2015). Availability‐based path selection and network vulnerability assessment. Networks. 66(4). 306–319. 22 indexed citations
13.
Kuipers, Fernando, et al.. (2011). Survivable Impairment-aware Traffic Grooming. Research Repository (Delft University of Technology). 5 indexed citations
14.
Kuipers, Fernando, et al.. (2011). Survivable impairment-aware traffic grooming in WDM rings. 158–165. 6 indexed citations
15.
Mieghem, Piet Van, Dragan Stevanović, Fernando Kuipers, et al.. (2011). Decreasing the spectral radius of a graph by link removals. Physical Review E. 84(1). 16101–16101. 120 indexed citations
16.
Kuipers, Fernando, et al.. (2009). Variants of the Min-Sum Link-Disjoint Paths Problem. Research Repository (Delft University of Technology). 11 indexed citations
17.
Kuipers, Fernando, et al.. (2009). On-line survivable routing in WDM networks. Research Repository (Delft University of Technology). 1–8. 4 indexed citations
18.
Avallone, Stefano, Fernando Kuipers, Giorgio Ventre, & Piet Van Mieghem. (2008). Dynamic Routing in QoS-aware Traffic Engineered Networks. 1 indexed citations
19.
Kuipers, Fernando, et al.. (2005). Conditions that impact the complexity of QoS routing. IEEE/ACM Transactions on Networking. 13(4). 717–730. 55 indexed citations
20.
Kuipers, Fernando, Piet Van Mieghem, Turgay Korkmaz, & Marwan Krunz. (2002). An overview of constraint-based path selection algorithms for QoS routing. IEEE Communications Magazine. 40(12). 50–55. 227 indexed citations

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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