Mohamed Haddar

4.4k total citations
231 papers, 2.8k citations indexed

About

Mohamed Haddar is a scholar working on Mechanical Engineering, Mechanics of Materials and Control and Systems Engineering. According to data from OpenAlex, Mohamed Haddar has authored 231 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Mechanical Engineering, 59 papers in Mechanics of Materials and 56 papers in Control and Systems Engineering. Recurrent topics in Mohamed Haddar's work include Gear and Bearing Dynamics Analysis (53 papers), Tribology and Lubrication Engineering (40 papers) and Acoustic Wave Phenomena Research (28 papers). Mohamed Haddar is often cited by papers focused on Gear and Bearing Dynamics Analysis (53 papers), Tribology and Lubrication Engineering (40 papers) and Acoustic Wave Phenomena Research (28 papers). Mohamed Haddar collaborates with scholars based in Tunisia, France and Portugal. Mohamed Haddar's co-authors include Fakher Chaari, Tahar Fakhfakh, Mohamed Slim Abbes, T. Fakhfakh, Radosław Zimroz, Walter Bartelmus, Slim Bouaziz, Mohamed Taktak, Lassâad Walha and Jamel Louati and has published in prestigious journals such as SHILAP Revista de lepidopterología, Polymer and The Journal of the Acoustical Society of America.

In The Last Decade

Mohamed Haddar

207 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohamed Haddar Tunisia 27 1.8k 761 632 418 336 231 2.8k
Mohamed Haddar Tunisia 29 2.1k 1.2× 783 1.0× 812 1.3× 651 1.6× 278 0.8× 231 3.3k
A.R. Mohanty India 29 2.0k 1.1× 2.0k 2.7× 796 1.3× 600 1.4× 549 1.6× 95 3.4k
Dong Jiang China 26 804 0.5× 333 0.4× 449 0.7× 505 1.2× 199 0.6× 167 2.1k
Fakher Chaari Tunisia 26 2.1k 1.2× 904 1.2× 474 0.8× 324 0.8× 88 0.3× 135 2.7k
Farrokh Sassani Canada 29 982 0.6× 709 0.9× 272 0.4× 246 0.6× 363 1.1× 96 2.3k
Ping Hu China 32 1.5k 0.8× 382 0.5× 1.5k 2.4× 797 1.9× 140 0.4× 168 3.4k
Θεόδωρος Λούτας Greece 28 1.0k 0.6× 620 0.8× 1.2k 1.9× 774 1.9× 127 0.4× 101 2.5k
Zhenhua Xiong China 32 1.6k 0.9× 1.2k 1.5× 290 0.5× 476 1.1× 622 1.9× 250 3.8k
Christian Hühne Germany 32 1.1k 0.6× 378 0.5× 2.1k 3.3× 1.5k 3.5× 213 0.6× 188 3.0k
S. P. Harsha India 35 3.0k 1.7× 2.5k 3.3× 1.9k 3.1× 832 2.0× 292 0.9× 260 5.3k

Countries citing papers authored by Mohamed Haddar

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed Haddar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohamed Haddar

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Haddar. A scholar is included among the top collaborators of Mohamed Haddar 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 Mohamed Haddar. Mohamed Haddar 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.
Klinkova, Olga, et al.. (2025). Digital twin–enabled hybrid Taguchi–AI optimization of LDPE/Alfa/PU sandwich panels under thermomechanical loading. Materials Today Communications. 48. 113557–113557. 1 indexed citations
2.
3.
Saouab, Abdelghani, et al.. (2024). Mechanical performances of printed carbon fiber-reinforced PLA and PETG composites. Proceedings of the Institution of Mechanical Engineers Part L Journal of Materials Design and Applications. 238(8). 1488–1499. 8 indexed citations
4.
Amari, Saïd, et al.. (2023). Feedback control laws to ensure generalized mutual exclusion constraints in a network of partially observable timed event graphs. European Journal of Control. 71. 100809–100809. 4 indexed citations
5.
Khalil, Wissam H., et al.. (2023). Cooling techniques for enhancing of photovoltaic cell efficiency: Review. AIP conference proceedings. 2776. 50020–50020. 1 indexed citations
6.
Féki, Nabih, et al.. (2023). Thermo-electro-mechanical dynamic and free vibration analysis of FGPM nanobeam with initial stress. Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering. 238(3). 1313–1329. 3 indexed citations
7.
Amari, Saïd, et al.. (2023). Feedback control to guarantee marking constraints in timed event graphs including disturbances: Application to disassembly systems. European Journal of Control. 75. 100888–100888. 4 indexed citations
8.
Bouaziz, Slim, et al.. (2023). Performance and efficiency of composite shafts supported by active magnetic bearings. Journal of mechanics of materials and structures. 18(5). 635–654.
9.
Bouguecha, Anas, et al.. (2022). Simulation-Based Process Design for Asymmetric Single-Point Incremental Forming of Individual Titanium Alloy Hip Cup Prosthesis. Materials. 15(10). 3442–3442. 1 indexed citations
10.
Louati, Jamel, et al.. (2021). Parametric study of aluminum bar shearing using Johnson-Cook material modeling. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture. 235(9). 1399–1411. 10 indexed citations
11.
Taktak, Mohamed, et al.. (2021). Identification of Physical Parameters of a Porous Material Located in a Duct by Inverse Methods. Archives of Acoustics. 657–665. 1 indexed citations
12.
Chiementin, Xavier, et al.. (2020). Digital twin-driven machine learning: ball bearings fault severity classification. Measurement Science and Technology. 32(4). 44006–44006. 51 indexed citations
13.
Vivet, Alexandre, et al.. (2020). A Characterization of the Damage Process under Buckling Load in Composite Reinforced by Flax Fibres. Journal of Composites Science. 4(3). 85–85. 4 indexed citations
14.
Hammami, Ahmed, et al.. (2019). Effect of cracked tooth on the dynamic response of simple gearbox with flexible coupling for acyclism operation. Journal of Theoretical and Applied Mechanics/Mechanika Teoretyczna i Stosowana. 1 indexed citations
15.
Mahi, Abderrahim El, et al.. (2019). Investigation and identification of damage mechanisms of unidirectional carbon/flax hybrid composites using acoustic emission. Engineering Fracture Mechanics. 216. 106511–106511. 62 indexed citations
16.
Bouaziz, Slim, et al.. (2016). Dynamic modeling of spindle-rolling bearings systems in peripheral milling operations. Journal of Vibroengineering. 18(3). 1444–1458. 8 indexed citations
17.
Chaari, Fakher, Walter Bartelmus, Radosław Zimroz, Tahar Fakhfakh, & Mohamed Haddar. (2012). Gearbox Vibration Signal Amplitude and Frequency Modulation. SHILAP Revista de lepidopterología. 52 indexed citations
18.
Chevallier, Gaël, et al.. (2010). Influence of Cutting and Geometrical Parameters on the Cutting Force in Milling. Engineering. 2(10). 751–761. 6 indexed citations
19.
Bouaziz, Slim, et al.. (2010). Processing Transient Response of a Flexible Rotor-Bearing System with Unbalanced Disk. 23–37. 1 indexed citations
20.
Walha, Lassâad, et al.. (2009). Nonlinear Dynamic Behaviour of a Clutch System Affected by Parallel and Angular Misalignment. Machine Dynamics Problems. 114–130. 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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