Smaïl Niar

2.2k total citations · 1 hit paper
84 papers, 937 citations indexed

About

Smaïl Niar is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Smaïl Niar has authored 84 papers receiving a total of 937 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Hardware and Architecture, 32 papers in Electrical and Electronic Engineering and 30 papers in Computer Networks and Communications. Recurrent topics in Smaïl Niar's work include Parallel Computing and Optimization Techniques (30 papers), Embedded Systems Design Techniques (26 papers) and Interconnection Networks and Systems (18 papers). Smaïl Niar is often cited by papers focused on Parallel Computing and Optimization Techniques (30 papers), Embedded Systems Design Techniques (26 papers) and Interconnection Networks and Systems (18 papers). Smaïl Niar collaborates with scholars based in France, United States and Tunisia. Smaïl Niar's co-authors include Maroua Nouiri, Abderrazak Jemai, Ahmed Chiheb Ammari, Abdelghani Bekrar, Ihsen Alouani, Rabie Ben Atitallah, Fadi Kurdahi, Damien Trentesaux, Jean‐Luc Dekeyser and Samy Meftali and has published in prestigious journals such as IEEE Transactions on Vehicular Technology, Future Generation Computer Systems and Computers & Industrial Engineering.

In The Last Decade

Smaïl Niar

78 papers receiving 913 citations

Hit Papers

An effective and distributed particle swarm optimization ... 2015 2026 2018 2022 2015 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. An effective and distributed particle swarm optimization algorithm for flexible job-shop scheduling problem
    2015 306 citations Smaïl Niar et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Smaïl Niar France 14 331 255 236 228 217 84 937
Christian Buckl Germany 16 62 0.2× 203 0.8× 317 1.3× 354 1.6× 184 0.8× 69 821
Shige Wang United States 18 77 0.2× 156 0.6× 292 1.2× 457 2.0× 202 0.9× 46 899
Henning Trsek Germany 15 284 0.9× 172 0.7× 479 2.0× 125 0.5× 57 0.3× 53 799
Claudio Zunino Italy 18 111 0.3× 427 1.7× 954 4.0× 299 1.3× 43 0.2× 72 1.2k
Johan Åkerberg Sweden 17 84 0.3× 471 1.8× 838 3.6× 108 0.5× 108 0.5× 76 1.1k
Sathish Gopalakrishnan Canada 15 40 0.1× 179 0.7× 419 1.8× 263 1.2× 116 0.5× 70 801
P. P. Chakrabarti India 16 51 0.2× 271 1.1× 166 0.7× 227 1.0× 225 1.0× 130 932
Armando Astarloa Spain 17 46 0.1× 374 1.5× 419 1.8× 239 1.0× 128 0.6× 90 850
Christian Haubelt Germany 20 59 0.2× 408 1.6× 631 2.7× 1.0k 4.5× 159 0.7× 166 1.4k

Countries citing papers authored by Smaïl Niar

Since Specialization
Citations

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

Fields of papers citing papers by Smaïl Niar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Smaïl Niar

This figure shows the co-authorship network connecting the top 25 collaborators of Smaïl Niar. A scholar is included among the top collaborators of Smaïl Niar 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 Smaïl Niar. Smaïl Niar 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.
Maghraoui, Kaoutar El, et al.. (2024). Grassroots operator search for model edge adaptation using mathematical search space. Future Generation Computer Systems. 157. 29–40. 1 indexed citations
2.
Niar, Smaïl, et al.. (2024). Recent advances in Machine Learning based Advanced Driver Assistance System applications. Microprocessors and Microsystems. 110. 105101–105101. 2 indexed citations
3.
Niar, Smaïl, et al.. (2024). DfuseNAS: A Diffusion-Based Neural Architecture Search. 1–8.
4.
Maghraoui, Kaoutar El, et al.. (2023). Multi-objective Hardware-aware Neural Architecture Search with Pareto Rank-preserving Surrogate Models. ACM Transactions on Architecture and Code Optimization. 20(2). 1–21. 7 indexed citations
5.
Niar, Smaïl, et al.. (2023). HyT-NAS: Hybrid Transformers Neural Architecture Search for Edge Devices. 41–45. 2 indexed citations
6.
Niar, Smaïl, et al.. (2023). MaGNAS: A Mapping-Aware Graph Neural Architecture Search Framework for Heterogeneous MPSoC Deployment. ACM Transactions on Embedded Computing Systems. 22(5s). 1–26. 4 indexed citations
7.
Biglari-Abhari, Morteza, et al.. (2022). Adaptive Real-Time Object Detection for Autonomous Driving Systems. Journal of Imaging. 8(4). 106–106. 6 indexed citations
8.
Niar, Smaïl, et al.. (2022). Reducing the fault vulnerability of hard real-time systems. Journal of Systems Architecture. 133. 102758–102758. 1 indexed citations
9.
Niar, Smaïl, et al.. (2022). Pareto Rank Surrogate Model for Hardware-aware Neural Architecture Search. 267–276. 7 indexed citations
10.
Niar, Smaïl, et al.. (2022). Co-Optimization of DNN and Hardware Configurations on Edge GPUs. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
11.
Alouani, Ihsen, et al.. (2020). A Memory Reliability Enhancement Technique for Multi Bit Upsets. Journal of Signal Processing Systems. 93(4). 439–459. 1 indexed citations
12.
Alouani, Ihsen, et al.. (2019). Are CNNs Reliable Enough for Critical Applications? An Exploratory Study. IEEE Design and Test. 37(2). 76–83. 34 indexed citations
13.
Niar, Smaïl, et al.. (2016). EQUITAS: A tool-chain for functional safety and reliability improvement in automotive systems. Microprocessors and Microsystems. 47. 252–261. 9 indexed citations
14.
Niar, Smaïl, et al.. (2016). Sensing user context and habits for run-time energy optimization. EURASIP Journal on Embedded Systems. 2017(1). 5 indexed citations
15.
Liu, Haisheng & Smaïl Niar. (2013). Radar signature in multiple target tracking system for driver assistant application. Design, Automation, and Test in Europe. 887–892. 1 indexed citations
16.
Niar, Smaïl, et al.. (2011). Dynamically reconfigurable architecture for a driver assistant system. 62–65. 5 indexed citations
17.
Atitallah, Rabie Ben, Philippe Marquet, Éric Piel, et al.. (2008). Gaspard2: from MARTE to SystemC Simulation. 34 indexed citations
18.
Atitallah, Rabie Ben, Smaïl Niar, & Jean‐Luc Dekeyser. (2007). MPSoC power estimation framework at transaction level modeling. 245–248. 20 indexed citations
19.
Niar, Smaïl, et al.. (2004). Adaptive prefetching for multimedia applications in embedded systems. Design, Automation, and Test in Europe. 2. 21350. 8 indexed citations
20.
Niar, Smaïl, Lieven Eeckhout, & Koenraad De Bosschere. (2003). Comparing Multiported Cache Schemes.. Ghent University Academic Bibliography (Ghent University). 1179–1185. 4 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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