Mohammed M’Hamdi

1.5k total citations
80 papers, 1.2k citations indexed

About

Mohammed M’Hamdi is a scholar working on Materials Chemistry, Mechanical Engineering and Aerospace Engineering. According to data from OpenAlex, Mohammed M’Hamdi has authored 80 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Materials Chemistry, 40 papers in Mechanical Engineering and 28 papers in Aerospace Engineering. Recurrent topics in Mohammed M’Hamdi's work include Solidification and crystal growth phenomena (31 papers), Aluminum Alloy Microstructure Properties (28 papers) and Silicon and Solar Cell Technologies (23 papers). Mohammed M’Hamdi is often cited by papers focused on Solidification and crystal growth phenomena (31 papers), Aluminum Alloy Microstructure Properties (28 papers) and Silicon and Solar Cell Technologies (23 papers). Mohammed M’Hamdi collaborates with scholars based in Norway, France and Tunisia. Mohammed M’Hamdi's co-authors include Asbjørn Mo, Chaouki Aouiti, Hallvard G. Fjær, Jinde Cao, Hervé Combeau, Amin S. Azar, Adel M. Alimi, Christophe Martín, Farouk Chérif and Miha Založnik and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and Materials Science and Engineering A.

In The Last Decade

Mohammed M’Hamdi

76 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammed M’Hamdi Norway 20 588 466 394 306 287 80 1.2k
Hassen M. Ouakad Saudi Arabia 28 238 0.4× 118 0.3× 733 1.9× 94 0.3× 1.4k 4.9× 141 2.5k
Clemens Lasance Netherlands 22 505 0.9× 126 0.3× 255 0.6× 44 0.1× 873 3.0× 52 1.4k
Ziyang Wang China 19 135 0.2× 365 0.8× 345 0.9× 62 0.2× 504 1.8× 78 1.1k
Feng Wen China 18 80 0.1× 78 0.2× 189 0.5× 241 0.8× 750 2.6× 192 1.2k
Florian Pfaff Germany 15 128 0.2× 107 0.2× 367 0.9× 40 0.1× 157 0.5× 79 845
Mohammad Danesh Iran 20 144 0.2× 190 0.4× 325 0.8× 106 0.3× 117 0.4× 73 1.2k
Koon Hoo Teo United States 23 115 0.2× 421 0.9× 111 0.3× 262 0.9× 1.7k 5.9× 95 2.1k
Zhoushun Zheng China 15 422 0.7× 245 0.5× 165 0.4× 13 0.0× 83 0.3× 71 880
Pradip Kumar Saha India 18 291 0.5× 354 0.8× 86 0.2× 27 0.1× 484 1.7× 85 1.1k
Guojie Hu China 17 93 0.2× 306 0.7× 100 0.3× 203 0.7× 547 1.9× 75 833

Countries citing papers authored by Mohammed M’Hamdi

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed M’Hamdi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammed M’Hamdi. 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 Mohammed M’Hamdi. The network helps show where Mohammed M’Hamdi may publish in the future.

Co-authorship network of co-authors of Mohammed M’Hamdi

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed M’Hamdi. A scholar is included among the top collaborators of Mohammed M’Hamdi 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 Mohammed M’Hamdi. Mohammed M’Hamdi 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.
Gunnæs, A.E., et al.. (2023). Accelerated material development for laser powder-bed fusion using the arc melting process. IOP Conference Series Materials Science and Engineering. 1274(1). 12014–12014. 1 indexed citations
2.
4.
M’Hamdi, Mohammed, et al.. (2019). Application of an Equiaxed Grain Growth and Transport Model to Study Macrosegregation in a DC Casting Experiment. Metallurgical and Materials Transactions A. 50(4). 1773–1786. 13 indexed citations
5.
M’Hamdi, Mohammed, et al.. (2019). Statistical analysis of structure loss in Czochralski silicon growth. AIP conference proceedings. 2149. 100002–100002. 5 indexed citations
6.
Øvrelid, Eivind J., et al.. (2019). Investigation of pinholes in Czochralski silicon ingots in relation to structure loss. Journal of Crystal Growth. 510. 1–6. 8 indexed citations
7.
M’Hamdi, Mohammed, et al.. (2018). Investigation of Macrosegregation Formation in Aluminium DC Casting for Different Alloy Systems. Metallurgical and Materials Transactions A. 49(10). 4710–4721. 24 indexed citations
8.
M’Hamdi, Mohammed, et al.. (2018). A Simplified Three-Phase Model of Equiaxed Solidification for the Prediction of Microstructure and Macrosegregation in Castings. Metallurgical and Materials Transactions A. 49(7). 2778–2794. 19 indexed citations
9.
M’Hamdi, Mohammed. (2018). Pseudo Almost Automorphic Solutions for Multidirectional Associative Memory Neural Network with Mixed Delays. Neural Processing Letters. 49(3). 1567–1592. 10 indexed citations
10.
Aouiti, Chaouki, Mohammed M’Hamdi, Farouk Chérif, & Adel M. Alimi. (2017). Impulsive generalized high-order recurrent neural networks with mixed delays: Stability and periodicity. Neurocomputing. 321. 296–307. 21 indexed citations
11.
Aouiti, Chaouki, Mohammed M’Hamdi, Jinde Cao, & Ahmed Alsaedi. (2016). Piecewise Pseudo Almost Periodic Solution for Impulsive Generalised High-Order Hopfield Neural Networks with Leakage Delays. Neural Processing Letters. 45(2). 615–648. 53 indexed citations
13.
Založnik, Miha, et al.. (2015). A model study of the impact of the transport of inoculant particles on microstructure formation during solidification. Computational Materials Science. 102. 95–109. 19 indexed citations
14.
Bettaieb, Taoufik, et al.. (2014). The influence of pre-planting treatments, organic and mineral fertilisers on potato production. Journal of New Sciences. 11. 1 indexed citations
15.
Bellmann, Martin, Dag Lindholm, & Mohammed M’Hamdi. (2014). A novel method for gas flow and impurity control in directional solidification of multi-crystalline silicon. Journal of Crystal Growth. 399. 33–38. 16 indexed citations
16.
M’Hamdi, Mohammed, et al.. (2014). Anisotropic study of thermal stresses induced by diameter fluctuation during Czochralski silicon single crystal growth. Journal of Crystal Growth. 400. 1–6. 6 indexed citations
17.
Stokkan, Gaute, et al.. (2011). Modeling of Lifetime Distribution in a Multicrystalline Silicon Ingot. Diffusion and defect data, solid state data. Part B, Solid state phenomena/Solid state phenomena. 178-179. 507–512. 4 indexed citations
18.
M’Hamdi, Mohammed, et al.. (2009). Analysis of the impact of macrosegregation on hot tearing conditions during DC casting of aluminium alloys. International Journal of Cast Metals Research. 22(1-4). 90–93.
19.
M’Hamdi, Mohammed, et al.. (2008). Simplified method for establishing constitutive equations and flow stress data for welding stress modelling. Science and Technology of Welding & Joining. 13(8). 705–713. 3 indexed citations
20.
M’Hamdi, Mohammed, Asbjørn Mo, & Christophe Martín. (2002). Two-phase modeling directed toward hot tearing formation in aluminum direct chill casting. Metallurgical and Materials Transactions A. 33(7). 2081–2093. 62 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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