David Laiymani

566 total citations
27 papers, 225 citations indexed

About

David Laiymani is a scholar working on Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, David Laiymani has authored 27 papers receiving a total of 225 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Networks and Communications, 7 papers in Hardware and Architecture and 5 papers in Artificial Intelligence. Recurrent topics in David Laiymani's work include Distributed and Parallel Computing Systems (9 papers), Parallel Computing and Optimization Techniques (7 papers) and Energy Efficient Wireless Sensor Networks (7 papers). David Laiymani is often cited by papers focused on Distributed and Parallel Computing Systems (9 papers), Parallel Computing and Optimization Techniques (7 papers) and Energy Efficient Wireless Sensor Networks (7 papers). David Laiymani collaborates with scholars based in France, Lebanon and Algeria. David Laiymani's co-authors include Abdallah Makhoul, Hassan Harb, Jacques Demerjian, Ali Jaber, Raphaël Couturier, Mohamed Rida, Mahmoud Barhamgi, Laurent Philippe, Jacques M. Bahi and Christophe Guyeux and has published in prestigious journals such as Future Generation Computer Systems, Neural Computing and Applications and Ad Hoc Networks.

In The Last Decade

David Laiymani

22 papers receiving 214 citations

Peers

David Laiymani

CNC

EEE

WST

CVPR

Michael Healy Ireland

Jonathan Beaver United States

Chady Abou Jaoude Lebanon

Adam Silberstein United States

Hee Yong Youn South Korea

Jiwa Abdullah Malaysia

E. Baburaj India

Mourad Gueroui France

Kui Wu Canada

M. Deva Priya India

Michael Healy Ireland

David Laiymani

194 ×1.1

CNC

123 ×2.0

EEE

29 ×0.7

WST

30 ×0.8

37 ×1.2

CVPR

Citations per year, relative to David Laiymani David Laiymani (= 1×) peers Michael Healy

Countries citing papers authored by David Laiymani

Since Specialization

Citations

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

Fields of papers citing papers by David Laiymani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Laiymani

This figure shows the co-authorship network connecting the top 25 collaborators of David Laiymani. A scholar is included among the top collaborators of David Laiymani 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 David Laiymani. David Laiymani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Guyeux, Christophe, et al.. (2025). Beyond Equality Matching: Custom Loss Functions for Semantics-Aware ICD-10 Coding. 166–174.

Couchot, Jean-François, et al.. (2023). An Easy-to-Use and Robust Approach for the Differentially Private De-Identification of Clinical Textual Documents. 94–104.

Guyeux, Christophe, et al.. (2022). The usefulness of NLP techniques for predicting peaks in firefighter interventions due to rare events. Neural Computing and Applications. 34(12). 10117–10132. 1 indexed citations

Harb, Hassan, et al.. (2022). A Multi-Tier Data Prediction Mechanism for the Internet of Things Networks. Wireless Personal Communications. 127(4). 3139–3172.

Makhoul, Abdallah, et al.. (2021). Continuous energy-efficient monitoring model for mobile ad hoc networks. SPIRE - Sciences Po Institutional REpository. 17. 1587–1592. 1 indexed citations

Rida, Mohamed, Abdallah Makhoul, Hassan Harb, David Laiymani, & Mahmoud Barhamgi. (2018). EK-means: A new clustering approach for datasets classification in sensor networks. Ad Hoc Networks. 84. 158–169. 31 indexed citations

Makhoul, Abdallah, et al.. (2018). A distributed real-time data prediction and adaptive sensing approach for wireless sensor networks. Pervasive and Mobile Computing. 49. 62–75. 52 indexed citations

Harb, Hassan, Abdallah Makhoul, David Laiymani, & Ali Jaber. (2017). A Distance-Based Data Aggregation Technique for Periodic Sensor Networks. ACM Transactions on Sensor Networks. 13(4). 1–40. 42 indexed citations

Makhoul, Abdallah, Hassan Harb, & David Laiymani. (2015). Residual energy-based adaptive data collection approach for periodic sensor networks. Ad Hoc Networks. 35. 149–160. 43 indexed citations

10.

Makhoul, Abdallah, David Laiymani, Hassan Harb, & Jacques M. Bahi. (2015). An adaptive scheme for data collection and aggregation in periodic sensor networks. International Journal of Sensor Networks. 18(1/2). 62–62. 9 indexed citations

11.

Couturier, Raphaël, et al.. (2011). Adaptation and Evaluation of the Multisplitting-Newton and Waveform Relaxation Methods Over Distributed Volatile Environments. International Journal of Parallel Programming. 40(2). 164–183. 1 indexed citations

12.

Couturier, Raphaël, et al.. (2010). JACEP2P-V2: A fully decentralized and fault tolerant environment for executing parallel iterative asynchronous applications on volatile distributed architectures. Future Generation Computer Systems. 27(5). 606–613. 5 indexed citations

13.

Couturier, Raphaël, et al.. (2009). A decentralized and fault tolerant convergence detection algorithm for asynchronous iterative algorithms. The Journal of Supercomputing. 53(2). 269–292. 3 indexed citations

14.

Bahi, Jacques M., et al.. (2009). A Parallel Algorithm To Solve Large Stiff ODE Systems On Grid Systems. The International Journal of High Performance Computing Applications. 23(2). 140–151. 3 indexed citations

15.

Bahi, Jacques M., Raphaël Couturier, & David Laiymani. (2008). Comparison of the Conjugate Gradient of NAS benchmark and of the multisplitting algorithm with the Jace environment. Proceedings - IEEE International Parallel and Distributed Processing Symposium. 30. 1–7. 1 indexed citations

16.

Laiymani, David, et al.. (2007). DTM: a service for managing data persistency and data replication in network‐enabled server environments. Concurrency and Computation Practice and Experience. 19(16). 2125–2140. 1 indexed citations

17.

Laiymani, David, et al.. (2005). Data Management in Grid Applications Providers. 40. 315–322. 6 indexed citations

18.

Laiymani, David, et al.. (2004). A Data Persistency Approach for the DIET Metacomputing Environment. International Conference on Internet Computing. 701–707. 5 indexed citations

19.

Laiymani, David, et al.. (2002). Parallel block generalized WZ factorization. 3. 174–179.

20.

Laiymani, David, et al.. (1994). GENERALIZEDWZFACTORIZATION ON A RECONFIGLTRABLE MACHINE. Parallel algorithms and applications. 3(3-4). 261–269. 1 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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