Mennan Selimi

439 total citations
32 papers, 272 citations indexed

About

Mennan Selimi is a scholar working on Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Mennan Selimi has authored 32 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Networks and Communications, 12 papers in Information Systems and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Mennan Selimi's work include Caching and Content Delivery (23 papers), IoT and Edge/Fog Computing (11 papers) and Peer-to-Peer Network Technologies (9 papers). Mennan Selimi is often cited by papers focused on Caching and Content Delivery (23 papers), IoT and Edge/Fog Computing (11 papers) and Peer-to-Peer Network Technologies (9 papers). Mennan Selimi collaborates with scholars based in Spain, North Macedonia and Portugal. Mennan Selimi's co-authors include Fèlix Freitag, Luís Veiga, Llorenç Cerdà‐Alabern, Arjuna Sathiaseelan, Roger Pueyo Centelles, Jon Crowcroft, Leandro Navarro, Marc Sánchez‐Artigas, Roger Baig and Alexandre P. Francisco and has published in prestigious journals such as Future Generation Computer Systems, Computer Networks and Lecture notes in computer science.

In The Last Decade

Mennan Selimi

30 papers receiving 268 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mennan Selimi Spain 9 257 126 23 20 19 32 272
Michael Baentsch Germany 7 213 0.8× 64 0.5× 24 1.0× 18 0.9× 27 1.4× 14 252
Justin Funston Canada 6 328 1.3× 156 1.2× 25 1.1× 14 0.7× 16 0.8× 10 358
Marcin Wójcik United Kingdom 6 281 1.1× 178 1.4× 59 2.6× 15 0.8× 33 1.7× 12 322
Ronen I. Kat Israel 8 181 0.7× 87 0.7× 26 1.1× 9 0.5× 30 1.6× 21 199
Nitin Garg United States 8 266 1.0× 137 1.1× 56 2.4× 8 0.4× 12 0.6× 19 318
Dmitrii Ustiugov United Kingdom 7 141 0.5× 75 0.6× 38 1.7× 17 0.8× 19 1.0× 11 180
Woongryul Jeon South Korea 5 93 0.4× 116 0.9× 9 0.4× 17 0.8× 21 1.1× 15 139
Khai Leong Yong Singapore 6 269 1.0× 99 0.8× 45 2.0× 11 0.6× 13 0.7× 10 283
Sankaran Sivathanu United States 5 307 1.2× 300 2.4× 22 1.0× 12 0.6× 26 1.4× 7 339
Amol Nayate United States 9 403 1.6× 153 1.2× 22 1.0× 10 0.5× 27 1.4× 13 414

Countries citing papers authored by Mennan Selimi

Since Specialization
Citations

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

Fields of papers citing papers by Mennan Selimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mennan Selimi

This figure shows the co-authorship network connecting the top 25 collaborators of Mennan Selimi. A scholar is included among the top collaborators of Mennan Selimi 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 Mennan Selimi. Mennan Selimi 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.
Selimi, Mennan, et al.. (2025). Enhancing Adaptive Behavior in Federated Learning: The AdaptiveMesh Algorithm for Interactive Mobile and Bandwidth-Limited Resource-Constrained Wireless Environments. International Journal of Interactive Mobile Technologies (iJIM). 19(10). 32–55.
2.
Selimi, Mennan, et al.. (2024). Exploring Local and Cloud-Based Training Use Cases for Embedded Machine Learning. 1–4. 1 indexed citations
3.
Freitag, Fèlix, et al.. (2024). Demo: Edge Federated Learning over a LoRa Mesh Network. 510–511. 1 indexed citations
4.
Martins, Rolando & Mennan Selimi. (2024). Distributed Applications and Interoperable Systems. Lecture notes in computer science.
5.
Selimi, Mennan, et al.. (2021). BePOCH: Improving Federated Learning Performance in Resource-Constrained Computing Devices. 2021 IEEE Global Communications Conference (GLOBECOM). 1–6. 5 indexed citations
6.
Panadero, Javier, Mennan Selimi, Laura Calvet, Joan Manuel Marquès, & Fèlix Freitag. (2021). A two-stage Multi-Criteria Optimization method for service placement in decentralized edge micro-clouds. Future Generation Computer Systems. 121. 90–105. 6 indexed citations
7.
Selimi, Mennan, et al.. (2020). Towards Information-Centric Edge Platform for Mesh Networks: The Case of CityLab Testbed. Institutional Repository University of Antwerp (University of Antwerp). 7 indexed citations
8.
Selimi, Mennan, et al.. (2019). PiCasso: Enabling information-centric multi-tenancy at the edge of community mesh networks. Computer Networks. 164. 106897–106897. 8 indexed citations
9.
Selimi, Mennan, et al.. (2018). Gelly-scheduling. arXiv (Cornell University). 151–160. 10 indexed citations
10.
Selimi, Mennan, et al.. (2018). Information-Centric Multi-Access Edge Computing Platform for Community Mesh Networks. QRU Quaderns de Recerca en Urbanisme. 1–12. 13 indexed citations
11.
Selimi, Mennan, Llorenç Cerdà‐Alabern, Fèlix Freitag, et al.. (2018). A Lightweight Service Placement Approach for Community Network Micro-Clouds. Journal of Grid Computing. 17(1). 169–189. 42 indexed citations
12.
Sathiaseelan, Arjuna, Mennan Selimi, Carlos Molina, et al.. (2017). Towards decentralised resilient community clouds. 1–6. 6 indexed citations
13.
Selimi, Mennan, Llorenç Cerdà‐Alabern, Marc Sánchez‐Artigas, Fèlix Freitag, & Luís Veiga. (2017). Practical Service Placement Approach for Microservices Architecture. QRU Quaderns de Recerca en Urbanisme. 401–410. 28 indexed citations
14.
Selimi, Mennan, Llorenç Cerdà‐Alabern, Liang Wang, et al.. (2016). Bandwidth-Aware Service Placement in Community Network Micro-Clouds. 220–223. 5 indexed citations
15.
Selimi, Mennan, et al.. (2015). TROBADOR: Service Discovery for Distributed Community Network Micro-Clouds. 6081. 642–649. 7 indexed citations
16.
Selimi, Mennan, et al.. (2015). Integration of an Assisted P2P Live Streaming Service in Community Network Clouds. QRU Quaderns de Recerca en Urbanisme. 202–209. 11 indexed citations
17.
Selimi, Mennan, Fèlix Freitag, Llorenç Cerdà‐Alabern, & Luís Veiga. (2015). Performance evaluation of a distributed storage service in community network clouds. Concurrency and Computation Practice and Experience. 28(11). 3131–3148. 5 indexed citations
18.
Selimi, Mennan, et al.. (2014). Experiences with distributed heterogeneous clouds over community networks. QRU Quaderns de Recerca en Urbanisme. 39–40. 7 indexed citations
19.
Selimi, Mennan, et al.. (2014). Distributed Storage and Service Discovery for Heterogeneous Community Network Clouds. 8584. 204–212. 13 indexed citations
20.
Selimi, Mennan, et al.. (2014). Towards Distributed Architecture for Collaborative Cloud Services in Community Networks. QRU Quaderns de Recerca en Urbanisme. 5931. 1–9. 5 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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