Ikhlas Meddour

912 total citations
22 papers, 730 citations indexed

About

Ikhlas Meddour is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Ikhlas Meddour has authored 22 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Mechanical Engineering, 11 papers in Electrical and Electronic Engineering and 7 papers in Industrial and Manufacturing Engineering. Recurrent topics in Ikhlas Meddour's work include Advanced machining processes and optimization (14 papers), Advanced Machining and Optimization Techniques (11 papers) and Machine Fault Diagnosis Techniques (5 papers). Ikhlas Meddour is often cited by papers focused on Advanced machining processes and optimization (14 papers), Advanced Machining and Optimization Techniques (11 papers) and Machine Fault Diagnosis Techniques (5 papers). Ikhlas Meddour collaborates with scholars based in Algeria, Tunisia and France. Ikhlas Meddour's co-authors include Mohamed Athmane Yallese, Tarek Mabrouki, François Girardin, Mohamed Elbah, Mourad Nouioua, Hamdi Aouici, Salim Belhadi, Lakhdar Boulanouar, A. Haddad and Ahmed Belaadi and has published in prestigious journals such as The International Journal of Advanced Manufacturing Technology, Measurement and Journal of Intelligent Manufacturing.

In The Last Decade

Ikhlas Meddour

22 papers receiving 705 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ikhlas Meddour Algeria	13	614	414	254	146	76	22	730
Gökhan Sur Türkiye	9	741 1.2×	451 1.1×	339 1.3×	167 1.1×	94 1.2×	20	896
Xiaoping Liao China	11	385 0.6×	250 0.6×	205 0.8×	192 1.3×	68 0.9×	49	748
Uma Maheshwera Reddy Paturi India	17	600 1.0×	315 0.8×	197 0.8×	106 0.7×	146 1.9×	45	826
Süleyman Neşeli Türkiye	12	649 1.1×	428 1.0×	331 1.3×	176 1.2×	73 1.0×	27	741
Mayur A. Makhesana India	16	616 1.0×	325 0.8×	235 0.9×	108 0.7×	204 2.7×	64	886
Chiang-Lung Lin Taiwan	4	341 0.6×	272 0.7×	143 0.6×	101 0.7×	51 0.7×	8	496
N. Alagumurthi India	14	511 0.8×	139 0.3×	344 1.4×	73 0.5×	153 2.0×	61	829
Aykut Kentli Türkiye	12	339 0.6×	145 0.4×	167 0.7×	56 0.4×	131 1.7×	37	511
Chorng‐Jyh Tzeng Taiwan	6	370 0.6×	249 0.6×	137 0.5×	108 0.7×	26 0.3×	9	454
Sivaprakasam Palani Ethiopia	14	367 0.6×	370 0.9×	274 1.1×	24 0.2×	48 0.6×	56	642

Countries citing papers authored by Ikhlas Meddour

Since Specialization

Citations

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

Fields of papers citing papers by Ikhlas Meddour

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ikhlas Meddour

This figure shows the co-authorship network connecting the top 25 collaborators of Ikhlas Meddour. A scholar is included among the top collaborators of Ikhlas Meddour 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 Ikhlas Meddour. Ikhlas Meddour 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

Meddour, Ikhlas, et al.. (2025). Development of an adaptive tool condition monitoring system: integration of case-based reasoning with CNN. Journal of Intelligent Manufacturing. 37(2). 697–710. 3 indexed citations

Meddour, Ikhlas, et al.. (2023). Self-Organizing Maps and VMD for Accurate Diagnosis of Bearing Defects. Journal of Vibration Engineering & Technologies. 12(3). 5241–5255. 2 indexed citations

Meddour, Ikhlas, et al.. (2023). Comparative assessment between DFA, NSGA-II coupled with TOPSIS, GRA, and TOPSIS for multiobjective optimization of gray cast iron turning process using CBN insert. Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering. 238(4). 1765–1778. 3 indexed citations

Rahmoune, Chemseddine, et al.. (2023). New criteria for wrapper feature selection to enhance bearing fault classification. Advances in Mechanical Engineering. 15(6). 9 indexed citations

Rahmoune, Chemseddine, et al.. (2023). Enhancing air compressors multi fault classification using new criteria for Harris Hawks optimization algorithm in tandem with MODWPT and LSSVM classifier. Advances in Mechanical Engineering. 15(12). 5 indexed citations

Meddour, Ikhlas, et al.. (2021). Dependability analysis in systems engineering approach using the FMECA extracted from the SysML and failure modes classification by K-means. International Journal of Dynamics and Control. 10(3). 981–998. 4 indexed citations

Nasri, Rachid, et al.. (2020). Comparison between sound perception and self-organizing maps in the monitoring of the bearing degradation. The International Journal of Advanced Manufacturing Technology. 110(7-8). 2003–2013. 8 indexed citations

Yallese, Mohamed Athmane, et al.. (2018). Modeling and multi-objective optimization for minimizing surface roughness, cutting force, and power, and maximizing productivity for tempered stainless steel AISI 420 in turning operations. The International Journal of Advanced Manufacturing Technology. 102(1-4). 135–157. 78 indexed citations

Meddour, Ikhlas, et al.. (2018). Prediction of surface roughness and cutting forces using RSM, ANN, and NSGA-II in finish turning of AISI 4140 hardened steel with mixed ceramic tool. The International Journal of Advanced Manufacturing Technology. 97(5-8). 1931–1949. 67 indexed citations

10.

Meddour, Ikhlas, et al.. (2018). Factors influencing the effect of attached mass on dynamic behavior of laminate composite plates using Taguchi technique. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 40(2). 1 indexed citations

11.

Yallese, Mohamed Athmane, et al.. (2017). On the Modeling of Surface Roughness and Cutting Force when Turning of Inconel 718 Using Artificial Neural Network and Response Surface Methodology: Accuracy and Benefit. Periodica Polytechnica Mechanical Engineering. 61(1). 1–11. 40 indexed citations

12.

Meddour, Ikhlas, et al.. (2017). Host-guest complex of nabumetone: β-cyclodextrin: quantum chemical study and QTAIM analysis. Journal of Inclusion Phenomena and Macrocyclic Chemistry. 87(1-2). 191–206. 14 indexed citations

13.

Yallese, Mohamed Athmane, et al.. (2017). Modeling and optimization of turning process parameters during the cutting of polymer (POM C) based on RSM, ANN, and DF methods. The International Journal of Advanced Manufacturing Technology. 91(5-8). 2267–2290. 57 indexed citations

14.

Yallese, Mohamed Athmane, et al.. (2017). Modeling and optimization in dry face milling of X2CrNi18-9 austenitic stainless steel using RMS and desirability approach. Measurement. 107. 53–67. 58 indexed citations

15.

Yallese, Mohamed Athmane, et al.. (2016). Predictive modeling and multi-response optimization of technological parameters in turning of Polyoxymethylene polymer (POM C) using RSM and desirability function. Measurement. 95. 99–115. 91 indexed citations

16.

Aouici, Hamdi, et al.. (2016). Performance comparison of wiper and conventional ceramic inserts in hard turning of AISI 4140 steel: analysis of machining forces and flank wear. The International Journal of Advanced Manufacturing Technology. 87(5-8). 2221–2244. 31 indexed citations

17.

Yallese, Mohamed Athmane, et al.. (2015). A new method for evaluation nominal coefficient of friction and frictional forces in turning and inserts characterization using cutting forces profiles. Engineering Solid Mechanics. 1–10. 8 indexed citations

18.

Aouici, Hamdi, et al.. (2015). Performance of coated and uncoated mixed ceramic tools in hard turning process. Measurement. 82. 1–18. 104 indexed citations

19.

Yallese, Mohamed Athmane, et al.. (2015). Multi-objective optimization of surface roughness, cutting forces, productivity and Power consumption when turning of Inconel 718. International Journal of Industrial Engineering Computations. 111–134. 26 indexed citations

20.

Meddour, Ikhlas, et al.. (2014). Investigation and modeling of cutting forces and surface roughness when hard turning of AISI 52100 steel with mixed ceramic tool: cutting conditions optimization. The International Journal of Advanced Manufacturing Technology. 77(5-8). 1387–1399. 74 indexed citations

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