Slim Hammadi

2.7k total citations · 2 hit papers
95 papers, 1.7k citations indexed

About

Slim Hammadi is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Slim Hammadi has authored 95 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Industrial and Manufacturing Engineering, 30 papers in Artificial Intelligence and 23 papers in Automotive Engineering. Recurrent topics in Slim Hammadi's work include Transportation and Mobility Innovations (23 papers), Transportation Planning and Optimization (21 papers) and Scheduling and Optimization Algorithms (20 papers). Slim Hammadi is often cited by papers focused on Transportation and Mobility Innovations (23 papers), Transportation Planning and Optimization (21 papers) and Scheduling and Optimization Algorithms (20 papers). Slim Hammadi collaborates with scholars based in France, Tunisia and Italy. Slim Hammadi's co-authors include Pierre Borne, Imed Kacem, Hayfa Zgaya, Khaled Mesghouni, Mariagrazia Dotoli, Sarah Ben Othman, S. Maouche, Noureddine Liouane, Christian Tahón and Jean–Marie Renard and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics).

In The Last Decade

Slim Hammadi

84 papers receiving 1.6k citations

Hit Papers

Approach by localization and multiobjective evolutionary ... 2002 2026 2010 2018 2002 2002 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Slim Hammadi France 16 1.3k 468 310 262 157 95 1.7k
Imed Kacem France 19 1.8k 1.4× 418 0.9× 239 0.8× 541 2.1× 85 0.5× 102 2.1k
Ferdinando Pezzella Italy 16 1.4k 1.1× 286 0.6× 135 0.4× 250 1.0× 378 2.4× 20 1.6k
Saïd Hanafi France 23 1.1k 0.8× 236 0.5× 88 0.3× 363 1.4× 139 0.9× 90 1.5k
Marcone Jamilson Freitas Souza Brazil 20 668 0.5× 343 0.7× 263 0.8× 163 0.6× 183 1.2× 117 1.4k
Xingquan Zuo China 21 567 0.4× 290 0.6× 150 0.5× 367 1.4× 203 1.3× 80 1.5k
Artur Alves Pessoa Brazil 23 1.3k 1.0× 222 0.5× 112 0.4× 198 0.8× 486 3.1× 68 1.6k
Bassem Jarboui Tunisia 21 1.1k 0.9× 343 0.7× 139 0.4× 158 0.6× 172 1.1× 76 1.7k
Christian Bierwirth Germany 17 2.5k 2.0× 200 0.4× 140 0.5× 163 0.6× 107 0.7× 27 2.7k
Tatsushi Nishi Japan 25 1.2k 1.0× 138 0.3× 248 0.8× 148 0.6× 113 0.7× 192 1.9k
Marco E. Lübbecke Germany 15 798 0.6× 97 0.2× 136 0.4× 272 1.0× 179 1.1× 41 1.3k

Countries citing papers authored by Slim Hammadi

Since Specialization
Citations

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

Fields of papers citing papers by Slim Hammadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Slim Hammadi

This figure shows the co-authorship network connecting the top 25 collaborators of Slim Hammadi. A scholar is included among the top collaborators of Slim Hammadi 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 Slim Hammadi. Slim Hammadi 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.
Othman, Sarah Ben, et al.. (2024). Real time patient scheduling orchestration for improving key performance indicators in a hospital emergency department. Journal of Computational Science. 82. 102422–102422. 1 indexed citations
3.
Hammadi, Slim, et al.. (2024). Enhancing particulate matter risk assessment with novel machine learning-driven toxicity threshold prediction. Engineering Applications of Artificial Intelligence. 139. 109531–109531. 1 indexed citations
4.
Othman, Sarah Ben, et al.. (2024). Pharmaceutical Decision Support System Using Machine Learning to Analyze and Limit Drug-Related Problems in Hospitals. Studies in health technology and informatics. 310. 1593–1597.
5.
Othman, Sarah Ben, et al.. (2024). Symbolic Artificial Intelligence to Diagnose Tuberculosis Using Ontology. Studies in health technology and informatics. 310. 1574–1578.
6.
Zgaya, Hayfa, et al.. (2023). Preferential Optimization of Multi-Hop Dynamic Ridesharing Based on R-Trees and Multi-Agent Systems. Transportation Research Record Journal of the Transportation Research Board. 2678(5). 47–62.
7.
Zgaya, Hayfa, et al.. (2021). Multi-agent Systems and R-Trees for Dynamic and Optimised Ridesharing. 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 1352–1358. 1 indexed citations
8.
Othman, Sarah Ben, Hayfa Zgaya, Slim Hammadi, et al.. (2016). Agents endowed with uncertainty management behaviors to solve a multiskill healthcare task scheduling. Journal of Biomedical Informatics. 64. 25–43. 24 indexed citations
9.
Othman, Sarah Ben, Slim Hammadi, & Alain Quilliot. (2015). Multi-Objective Evolutionary for Multi-Skill Health Care Tasks Scheduling. IFAC-PapersOnLine. 48(3). 704–709. 10 indexed citations
10.
Hammadi, Slim, et al.. (2014). Multi-criterion Tabu Search to Solve the Dynamic Carpooling Based on the Choquet Integral Aggregation. HAL (Le Centre pour la Communication Scientifique Directe). 4 indexed citations
11.
Othman, Sarah Ben, Nesrine Zoghlami, Slim Hammadi, & Hayfa Zgaya. (2014). Adaptive Collaborative Agent-Based System for Crisis Management. HAL (Le Centre pour la Communication Scientifique Directe). 151–158. 4 indexed citations
12.
Zgaya, Hayfa, et al.. (2009). Negotiation Model In a Multi-Agent Supply Chain System For The Crisis Management. IFAC Proceedings Volumes. 42(4). 1026–1031. 4 indexed citations
14.
Zidi, Salah, S. Maouche, & Slim Hammadi. (2006). ANT COLONY FOR SPATIAL RECONFIGURATION OF MULTIMODAL TRANSPORT NETWORK. IFAC Proceedings Volumes. 39(12). 537–542. 1 indexed citations
15.
Hammadi, Slim, et al.. (2006). Lower Bounds In An Hybrid Evolutionary Approach For The Pickup And Delivery Problem With Time Windows. 2. 1156–1161. 2 indexed citations
16.
Mesghouni, Khaled, Slim Hammadi, & Pierre Borne. (2004). EVOLUTIONARY ALGORITHMS FOR JOB-SHOP SCHEDULING. International Journal of Applied Mathematics and Computer Science. 14(1). 91–103. 44 indexed citations
17.
Hammadi, Slim, et al.. (2002). A study of scheduling problem in agro-food manufacturing systems. Mathematics and Computers in Simulation. 60(3-5). 277–291. 14 indexed citations
18.
Kacem, Imed, Slim Hammadi, & Pierre Borne. (2002). Pareto-optimality approach for flexible job-shop scheduling problems: hybridization of evolutionary algorithms and fuzzy logic. Mathematics and Computers in Simulation. 60(3-5). 245–276. 433 indexed citations breakdown →
19.
Hammadi, Slim, et al.. (2000). THE CONTRIBUTION OF LINEAR PROGRAMMING BY CONSTRAINTS PROPAGATION IN THE REGULATION OF TRAFFIC OF URBAN TRANSPORT NETWORK. 4 indexed citations
20.
Liouane, Noureddine, et al.. (2000). A controlled genetic algorithm by fuzzy logic and belief functions for job-shop scheduling. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 30(5). 812–818. 23 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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