Issam Hanafi

559 total citations
34 papers, 409 citations indexed

About

Issam Hanafi is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Issam Hanafi has authored 34 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Mechanical Engineering, 19 papers in Electrical and Electronic Engineering and 9 papers in Industrial and Manufacturing Engineering. Recurrent topics in Issam Hanafi's work include Advanced machining processes and optimization (20 papers), Advanced Machining and Optimization Techniques (17 papers) and Manufacturing Process and Optimization (7 papers). Issam Hanafi is often cited by papers focused on Advanced machining processes and optimization (20 papers), Advanced Machining and Optimization Techniques (17 papers) and Manufacturing Process and Optimization (7 papers). Issam Hanafi collaborates with scholars based in Morocco, Spain and Italy. Issam Hanafi's co-authors include Francisco Mata Cabrera, Abdellatif Khamlichi, Pedro José Núñez López, Juan Carlos Campos Rúbio, Fouad Dimane, Francisco Mata, Guido Di Bella, Khadija Haboubi, I. Garrido and Fabia Galantini and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Composite Structures.

In The Last Decade

Issam Hanafi

32 papers receiving 387 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Issam Hanafi Morocco 11 277 196 136 79 74 34 409
Francisco Mata Cabrera Morocco 11 278 1.0× 191 1.0× 133 1.0× 78 1.0× 67 0.9× 35 401
Rajkumar Chadge India 10 170 0.6× 214 1.1× 79 0.6× 97 1.2× 75 1.0× 47 401
L. B. Abhang India 9 220 0.8× 168 0.9× 83 0.6× 21 0.3× 91 1.2× 27 305
Domnita Frăţilă Romania 8 348 1.3× 245 1.3× 113 0.8× 71 0.9× 127 1.7× 13 453
Shoaib Sarfraz United Kingdom 12 284 1.0× 173 0.9× 112 0.8× 30 0.4× 97 1.3× 28 469
Ramazan Çakıroğlu Türkiye 11 348 1.3× 168 0.9× 85 0.6× 33 0.4× 148 2.0× 24 468
Oğuzhan Der Türkiye 14 228 0.8× 67 0.3× 64 0.5× 26 0.3× 126 1.7× 38 477
B. Singaravel India 15 534 1.9× 419 2.1× 123 0.9× 19 0.2× 238 3.2× 47 625
B. Suresh Kumar India 11 294 1.1× 109 0.6× 30 0.2× 34 0.4× 158 2.1× 39 405
Chiang-Lung Lin Taiwan 4 341 1.2× 272 1.4× 101 0.7× 11 0.1× 143 1.9× 8 496

Countries citing papers authored by Issam Hanafi

Since Specialization
Citations

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

Fields of papers citing papers by Issam Hanafi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Issam Hanafi

This figure shows the co-authorship network connecting the top 25 collaborators of Issam Hanafi. A scholar is included among the top collaborators of Issam Hanafi 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 Issam Hanafi. Issam Hanafi 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.
Hanafi, Issam, et al.. (2025). Effect of Manufacturing Processes on Basalt Fiber-Reinforced Composites for Marine Applications. Journal of Composites Science. 9(5). 233–233. 1 indexed citations
2.
Mussada, Eswara Krishna, et al.. (2025). Artificial Intelligence and Machine Learning-Based Modeling for Sustainable Wire Electrical Discharge Machining of Titanium Grade 4 Alloy. Journal of Intelligent & Fuzzy Systems. 1 indexed citations
3.
Hanafi, Issam, et al.. (2024). The evolution of net zero emissions research: A bibliometric investigation. Scientific African. 24. e02228–e02228. 2 indexed citations
4.
Khamlichi, Abdellatif, et al.. (2023). Identification based on a finite element model of an impact force occurring on a composite structure. SHILAP Revista de lepidopterología. 28(1). 23–36. 1 indexed citations
5.
6.
Hanafi, Issam, et al.. (2022). FTIR and Raman Spectroscopy Study of Soot Deposits Produced in the Infrared Multiphoton Dissociation of Vinyl Bromide. Journal of Spectroscopy. 2022. 1–11. 6 indexed citations
7.
Hanafi, Issam, et al.. (2022). Hotspots and Tendencies of Energy Optimization Based on Bibliometric Review. Energies. 16(1). 158–158. 2 indexed citations
8.
Rúbio, Juan Carlos Campos, et al.. (2018). Vacuum Thermoforming Process: An Approach to Modeling and Optimization Using Artificial Neural Networks. Polymers. 10(2). 143–143. 32 indexed citations
9.
Rúbio, Juan Carlos Campos, et al.. (2018). Dimensional and Geometrical Errors in Vacuum Thermoforming Products: An Approach to Modeling and Optimization by Multiple Response Optimization. Measurement Science Review. 18(3). 113–122. 5 indexed citations
10.
Dimane, Fouad, et al.. (2017). Impact Des Facteurs De Pollution Sur La Qualite Des Eaux De La Zone Aval De La Vallee De L’oued Nekor (Al-Hoceima, Maroc). European Scientific Journal ESJ. 13(3). 4 indexed citations
11.
Hanafi, Issam, Abdellatif Khamlichi, & Francisco Mata Cabrera. (2014). Evolutionary Computation in Combinatorial of Machining Parameters of Reinforced PEEK Composites Using NSGA-II. Advanced materials research. 875-877. 652–656. 2 indexed citations
12.
Cabrera, Francisco Mata, et al.. (2014). Investigating the deformation and damage scenario under tensile loading of ductile specimens using thermography. International Review of Applied Sciences and Engineering. 5(1). 1–8. 1 indexed citations
13.
Rúbio, Juan Carlos Campos, et al.. (2014). UTILIZACIÓN DE MODELOS DE REDES NEURONALES ARTIFICIALES PARA PREDECIR LA INFLUENCIA DEL TIPO DE FRESADO EN LA CALIDAD DEL PRODUCTO. DYNA. 89(3). 457–466. 2 indexed citations
14.
Hanafi, Issam, et al.. (2012). Fuzzy rule based predictive model for cutting force in turning of reinforced PEEK composite. Measurement. 45(6). 1424–1435. 32 indexed citations
15.
Hanafi, Issam, Abdellatif Khamlichi, Francisco Mata Cabrera, & Pedro José Núñez López. (2012). Prediction of surface roughness in turning of PEEK cf30 by using an artificial neural network. Journal of the Chinese Institute of Industrial Engineers. 29(5). 337–347. 11 indexed citations
16.
Mata, Francisco, et al.. (2012). Modelling of machining force components during turning of PEEK CF30 by TiN coated cutting tools using artificial intelligence. International Journal of Machining and Machinability of Materials. 11(3). 263–263. 2 indexed citations
17.
Cabrera, Francisco Mata, et al.. (2011). Multi-criteria Optimization Using Taguchi and Grey Relational Analysis in CNC Turning of PEEK CF30. Journal of Thermoplastic Composite Materials. 25(1). 101–114. 15 indexed citations
18.
Mata, Francisco, et al.. (2010). Multiple Regression Prediction Model for Cutting Forces in Turning Carbon-Reinforced PEEK CF30. Advances in Materials Science and Engineering. 2010. 1–7. 19 indexed citations
19.
Cabrera, Francisco Mata, et al.. (2010). Sur l’usinabilité des composites à matrices polymères renforcée par des fibres. Mécanique & Industries. 11(2). 93–103. 4 indexed citations
20.
Mata, Francisco, et al.. (2009). Derivation of statistical models to predict roughness parameters during machining process of PEEK composites using PCD and K10 tools. International Journal of the Physical Sciences. 4(6). 369–376. 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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