Marco Chiesa

1.4k total citations
56 papers, 824 citations indexed

About

Marco Chiesa is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Marco Chiesa has authored 56 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computer Networks and Communications, 20 papers in Electrical and Electronic Engineering and 16 papers in Artificial Intelligence. Recurrent topics in Marco Chiesa's work include Software-Defined Networks and 5G (32 papers), Interconnection Networks and Systems (16 papers) and Internet Traffic Analysis and Secure E-voting (13 papers). Marco Chiesa is often cited by papers focused on Software-Defined Networks and 5G (32 papers), Interconnection Networks and Systems (16 papers) and Internet Traffic Analysis and Secure E-voting (13 papers). Marco Chiesa collaborates with scholars based in Sweden, Belgium and Italy. Marco Chiesa's co-authors include Michael Schapira, Guy Kindler, Marco Canini, Stefan Schmid, Michele Russo, Claudio Squarcella, Alberto Dainotti, Emile Aben, kc claffy and Antonio Pescapè and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Access and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Marco Chiesa

54 papers receiving 785 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Chiesa Sweden 18 712 255 216 167 62 56 824
Benoît Donnet Belgium 14 846 1.2× 191 0.7× 383 1.8× 137 0.8× 104 1.7× 83 1.0k
Aman Shaikh United States 21 1.3k 1.8× 390 1.5× 206 1.0× 156 0.9× 184 3.0× 46 1.4k
Masato Oguchi Japan 10 348 0.5× 128 0.5× 122 0.6× 162 1.0× 26 0.4× 159 497
Mohammad Hajjat United States 6 643 0.9× 189 0.7× 156 0.7× 390 2.3× 22 0.4× 11 849
Behrouz A. Forouzan United States 10 274 0.4× 159 0.6× 215 1.0× 130 0.8× 44 0.7× 22 610
Zafar Ayyub Qazi United States 11 1.2k 1.6× 434 1.7× 183 0.8× 318 1.9× 93 1.5× 22 1.3k
Michael J. Donahoo United States 11 612 0.9× 129 0.5× 157 0.7× 232 1.4× 30 0.5× 39 787
Colin Scott United States 13 1.1k 1.6× 269 1.1× 237 1.1× 307 1.8× 116 1.9× 21 1.2k
Michael E. Kounavis United States 17 576 0.8× 206 0.8× 319 1.5× 141 0.8× 167 2.7× 39 900
Saverio Niccolini Italy 16 722 1.0× 346 1.4× 314 1.5× 221 1.3× 53 0.9× 66 950

Countries citing papers authored by Marco Chiesa

Since Specialization
Citations

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

Fields of papers citing papers by Marco Chiesa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Chiesa

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Chiesa. A scholar is included among the top collaborators of Marco Chiesa 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 Marco Chiesa. Marco Chiesa 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.
Chiesa, Marco, et al.. (2024). TimeGAN as a Simulator for Reinforcement Learning Training in Programmable Data Planes. 1–9. 1 indexed citations
2.
Maguire, Gerald Q., et al.. (2024). FAJITA: Stateful Packet Processing at 100 Million pps. KTH Publication Database DiVA (KTH Royal Institute of Technology). 2(CoNEXT3). 1–22.
3.
Wang, Changjie, et al.. (2024). NetConfEval: Can LLMs Facilitate Network Configuration?. 2(CoNEXT2). 1–25. 21 indexed citations
4.
Chiesa, Marco, et al.. (2024). Deploying Stateful Network Functions Efficiently using Large Language Models. KTH Publication Database DiVA (KTH Royal Institute of Technology). 28–38. 4 indexed citations
5.
Chiesa, Marco & Fábio L. Verdi. (2023). Network Monitoring on Multi-Pipe Switches. 49–50. 2 indexed citations
6.
Chiesa, Marco, et al.. (2023). Millions of Low-latency State Insertions on ASIC Switches. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1(CoNEXT3). 1–23. 5 indexed citations
7.
Chiesa, Marco, et al.. (2023). On the Effectiveness of BGP Hijackers That Evade Public Route Collectors. IEEE Access. 11. 31092–31124. 10 indexed citations
8.
Chiesa, Marco & Fábio L. Verdi. (2023). Network Monitoring on Multi-Pipe Switches. ACM SIGMETRICS Performance Evaluation Review. 51(1). 49–50. 2 indexed citations
9.
Barbette, Tom, et al.. (2021). Cheetah: A High-Speed Programmable Load-Balancer Framework With Guaranteed Per-Connection-Consistency. IEEE/ACM Transactions on Networking. 30(1). 354–367. 9 indexed citations
10.
Chiesa, Marco, Andrzej Kamisiński, Jacek Rak, Gábor Rétvári, & Stefan Schmid. (2021). A Survey of Fast-Recovery Mechanisms in Packet-Switched Networks. IEEE Communications Surveys & Tutorials. 23(2). 1253–1301. 49 indexed citations
11.
Barbette, Tom, et al.. (2020). A High-Speed Load-Balancer Design with Guaranteed Per-Connection-Consistency. KTH Publication Database DiVA (KTH Royal Institute of Technology). 667–683. 23 indexed citations
12.
Chiesa, Marco, et al.. (2016). On the Resiliency of Randomized Routing Against Multiple Edge Failures. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 20 indexed citations
13.
Chiesa, Marco, Slobodan Mitrović, Andrei Gurtov, et al.. (2016). On the Resiliency of Static Forwarding Tables. IEEE/ACM Transactions on Networking. 25(2). 1133–1146. 29 indexed citations
14.
Chiesa, Marco, Daniel Demmler, Marco Canini, Michael Schapira, & Thomas Schneider. (2016). Towards Securing Internet eXchange Points Against Curious onlooKers. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 32–34. 10 indexed citations
15.
Chiesa, Marco, Giuseppe Di Battista, Thomas Erlebach, & Maurizio Patrignani. (2015). Computational complexity of traffic hijacking under BGP and S-BGP. Theoretical Computer Science. 600. 143–154. 2 indexed citations
16.
Chiesa, Marco, et al.. (2014). Intra-domain routing with pathlets. Computer Communications. 46. 76–86. 2 indexed citations
17.
Dainotti, Alberto, Claudio Squarcella, Emile Aben, et al.. (2014). Analysis of Country-Wide Internet Outages Caused by Censorship. IEEE/ACM Transactions on Networking. 22(6). 1964–1977. 27 indexed citations
18.
Chiesa, Marco, et al.. (2013). Intra-Domain Pathlet Routing. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 1–9. 3 indexed citations
19.
Angelini, Patrizio, et al.. (2012). On the area requirements of Euclidean minimum spanning trees. Computational Geometry. 47(2). 200–213. 1 indexed citations
20.
Chiesa, Marco, Luca Cittadini, Giuseppe Di Battista, Laurent Vanbever, & Stefano Vissicchio. (2012). Computing with BGP: from Routing Configurations to Turing Machines. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 2 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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