Riad Mokadem

403 total citations
31 papers, 252 citations indexed

About

Riad Mokadem is a scholar working on Computer Networks and Communications, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Riad Mokadem has authored 31 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Networks and Communications, 18 papers in Information Systems and 5 papers in Management Science and Operations Research. Recurrent topics in Riad Mokadem's work include Cloud Computing and Resource Management (18 papers), Advanced Data Storage Technologies (11 papers) and Distributed systems and fault tolerance (9 papers). Riad Mokadem is often cited by papers focused on Cloud Computing and Resource Management (18 papers), Advanced Data Storage Technologies (11 papers) and Distributed systems and fault tolerance (9 papers). Riad Mokadem collaborates with scholars based in France, Algeria and Tunisia. Riad Mokadem's co-authors include Abdelkader Hameurlain, Tarek Hamrouni, Faouzi Ben Charrada, Ghalem Belalem, Mohamed Ridda Laouar, Witold Litwin, Sean B. Eom, A Min Tjoa, Philippe Rigaux and Jocelyne Fayn and has published in prestigious journals such as ACM SIGMOD Record, Journal of Systems and Software and Soft Computing.

In The Last Decade

Riad Mokadem

29 papers receiving 248 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Riad Mokadem France 10 222 210 29 14 7 31 252
Francesc Lordan Spain 7 135 0.6× 105 0.5× 14 0.5× 32 2.3× 4 0.6× 17 168
Rouven Krebs Germany 8 224 1.0× 236 1.1× 50 1.7× 12 0.9× 13 264
Faouzi Ben Charrada Tunisia 11 239 1.1× 193 0.9× 25 0.9× 16 1.1× 32 271
Guilherme Koslovski Brazil 9 163 0.7× 138 0.7× 19 0.7× 9 0.6× 1 0.1× 51 185
Ehsan Arianyan Iran 6 252 1.1× 255 1.2× 20 0.7× 6 0.4× 1 0.1× 13 282
Michael Cardosa United States 7 337 1.5× 325 1.5× 26 0.9× 22 1.6× 2 0.3× 7 352
Alexander Papaspyrou Germany 6 145 0.7× 120 0.6× 26 0.9× 15 1.1× 20 174
Wittawat Tantisiriroj United States 4 268 1.2× 175 0.8× 21 0.7× 29 2.1× 1 0.1× 6 278
Nicolas Bonvin Switzerland 7 255 1.1× 255 1.2× 20 0.7× 10 0.7× 11 277
Anthony Mayer United Kingdom 6 175 0.8× 82 0.4× 21 0.7× 52 3.7× 4 0.6× 8 195

Countries citing papers authored by Riad Mokadem

Since Specialization
Citations

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

Fields of papers citing papers by Riad Mokadem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Riad Mokadem

This figure shows the co-authorship network connecting the top 25 collaborators of Riad Mokadem. A scholar is included among the top collaborators of Riad Mokadem 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 Riad Mokadem. Riad Mokadem 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.
2.
Hamrouni, Tarek, et al.. (2023). Review on data replication strategies in single vs. interconnected cloud systems: Focus on data correlation‐aware strategies. Concurrency and Computation Practice and Experience. 35(22). 1 indexed citations
3.
Martínez-Gil, Jorge, Riad Mokadem, Josef Küng, & Abdelkader Hameurlain. (2023). Neurofuzzy semantic similarity measurement. Data & Knowledge Engineering. 145. 102155–102155. 2 indexed citations
4.
Mokadem, Riad, et al.. (2022). A review on data replication strategies in cloud systems. International Journal of Grid and Utility Computing. 13(4). 347–347. 2 indexed citations
5.
Hamrouni, Tarek, et al.. (2021). Combining task scheduling and data replication for SLA compliance and enhancement of provider profit in clouds. Applied Intelligence. 51(10). 7494–7516. 11 indexed citations
6.
Mokadem, Riad, et al.. (2021). Data correlation and fuzzy inference system-based data replication in federated cloud systems. Simulation Modelling Practice and Theory. 115. 102428–102428. 12 indexed citations
7.
Hamrouni, Tarek, et al.. (2020). Cloud provider profit-aware and triadic concept analysis-based data replication strategy for tenant performance improvement. International Journal of High Performance Computing and Networking. 16(2/3). 67–67. 4 indexed citations
8.
Mokadem, Riad, et al.. (2019). Towards a New Data Replication Management in Cloud Systems. HAL (Le Centre pour la Communication Scientifique Directe). 10(2). 1–20. 4 indexed citations
9.
Mokadem, Riad, et al.. (2019). Data replication strategy with satisfaction of availability, performance and tenant budget requirements. Cluster Computing. 22(4). 1199–1210. 21 indexed citations
10.
Mokadem, Riad & Abdelkader Hameurlain. (2019). A data replication strategy with tenant performance and provider economic profit guarantees in Cloud data centers. Journal of Systems and Software. 159. 110447–110447. 31 indexed citations
11.
Laouar, Mohamed Ridda, et al.. (2018). A data replication strategy for document-oriented NoSQL systems. International Journal of Grid and Utility Computing. 10(1). 53–53. 4 indexed citations
12.
Mokadem, Riad, et al.. (2018). Towards a New Data Replication Strategy in MongoDB Systems. 8. 1–7. 1 indexed citations
13.
Mokadem, Riad, et al.. (2017). Data Replication in Cloud Systems. International Journal of Information Systems and Social Change. 8(3). 17–33. 17 indexed citations
14.
Mokadem, Riad, et al.. (2017). Ensuring performance and provider profit through data replication in cloud systems. Cluster Computing. 21(3). 1479–1492. 23 indexed citations
15.
Mokadem, Riad, et al.. (2016). A Performance and Profit Oriented Data Replication Strategy for Cloud Systems. IYTE GCRIS Database (Izmir Institute of Technology). 780–787. 20 indexed citations
16.
Mokadem, Riad, et al.. (2015). Dynamic replication strategies in data grid systems: a survey. The Journal of Supercomputing. 71(11). 4116–4140. 22 indexed citations
17.
Mokadem, Riad & Abdelkader Hameurlain. (2014). Data replication strategies with performance objective in data grid systems: a survey. International Journal of Grid and Utility Computing. 6(1). 30–30. 17 indexed citations
18.
Mokadem, Riad, Abdelkader Hameurlain, & A Min Tjoa. (2010). Resource discovery service while minimizing maintenance overhead in hierarchical DHT systems. 630–638. 5 indexed citations
19.
Mokadem, Riad, Abdelkader Hameurlain, & Franck Morvan. (2008). Performance Improving of Semi-join Based Join Operation through Algebraic Signatures. 431–438.
20.
Litwin, Witold, et al.. (2007). Fast nGram-based string search over data encoded using algebraic signatures. Base Institutionnelle de Recherche de l'université Paris-Dauphine (BIRD) (University Paris-Dauphine). 207–218. 9 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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