Maher Maalouf

1.4k total citations
60 papers, 933 citations indexed

About

Maher Maalouf is a scholar working on Management Information Systems, Artificial Intelligence and Industrial and Manufacturing Engineering. According to data from OpenAlex, Maher Maalouf has authored 60 papers receiving a total of 933 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Management Information Systems, 8 papers in Artificial Intelligence and 8 papers in Industrial and Manufacturing Engineering. Recurrent topics in Maher Maalouf's work include Quality and Supply Management (10 papers), Gene expression and cancer classification (6 papers) and Bioinformatics and Genomic Networks (6 papers). Maher Maalouf is often cited by papers focused on Quality and Supply Management (10 papers), Gene expression and cancer classification (6 papers) and Bioinformatics and Genomic Networks (6 papers). Maher Maalouf collaborates with scholars based in United Arab Emirates, United States and United Kingdom. Maher Maalouf's co-authors include Theodore B. Trafali̇s, Dirar Homouz, Naji Khoury, Ahmad Mayyas, Elie Azar, Raja Jayaraman, Jiju Antony, Kamal Taha, Indra Adrianto and Yousof Al-Hammadi and has published in prestigious journals such as PLoS ONE, Scientific Reports and Energy.

In The Last Decade

Maher Maalouf

53 papers receiving 884 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maher Maalouf United Arab Emirates 18 230 137 78 75 68 60 933
Özgür Yeniay Türkiye 12 200 0.9× 100 0.7× 80 1.0× 85 1.1× 31 0.5× 28 895
Nyoman Gunantara Indonesia 6 140 0.6× 141 1.0× 93 1.2× 59 0.8× 20 0.3× 32 804
Bénédicte Le Grand France 7 185 0.8× 195 1.4× 108 1.4× 69 0.9× 24 0.4× 21 1.1k
Amgad Muneer Malaysia 21 395 1.7× 152 1.1× 40 0.5× 26 0.3× 75 1.1× 66 1.4k
V E Sathishkumar South Korea 22 288 1.3× 139 1.0× 72 0.9× 64 0.9× 16 0.2× 110 1.5k
Hany F. ElYamany Egypt 7 422 1.8× 291 2.1× 42 0.5× 63 0.8× 29 0.4× 15 1.1k
Xuesong Xu China 17 216 0.9× 180 1.3× 113 1.4× 26 0.3× 21 0.3× 70 1.1k
Amit Ganatra India 17 470 2.0× 101 0.7× 55 0.7× 40 0.5× 45 0.7× 86 1.3k
Alejandro Manuel Martín-Gómez Spain 10 341 1.5× 79 0.6× 55 0.7× 27 0.4× 41 0.6× 22 1.1k
Shenghan Zhou China 22 231 1.0× 255 1.9× 107 1.4× 35 0.5× 55 0.8× 120 1.5k

Countries citing papers authored by Maher Maalouf

Since Specialization
Citations

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

Fields of papers citing papers by Maher Maalouf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maher Maalouf

This figure shows the co-authorship network connecting the top 25 collaborators of Maher Maalouf. A scholar is included among the top collaborators of Maher Maalouf 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 Maher Maalouf. Maher Maalouf 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.
Antony, Jiju, Ravindra S. Goonetilleke, David Romero, et al.. (2025). A qualitative global study on the digitalization of Lean Six Sigma: insights from scholars and practitioners. Production Planning & Control. 37(4). 334–364.
2.
Swarnakar, Vikas, et al.. (2025). Implementing and evaluating the quality 4.0 PMQ framework for process monitoring in automotive manufacturing. Scientific Reports. 15(1). 24742–24742.
3.
Alsheghri, Ammar, et al.. (2025). Predicting mechanical properties of CFRP composites using data-driven models with comparative analysis. PLoS ONE. 20(4). e0319787–e0319787. 2 indexed citations
4.
Swarnakar, Vikas, et al.. (2025). Sustainable project choice: Integrating Must-Be kano and fuzzy logic for optimal project selection. Journal of Open Innovation Technology Market and Complexity. 11(3). 100610–100610. 1 indexed citations
5.
Maalouf, Maher, et al.. (2025). Sequential classification approach for enhancing the assessment of cardiac autonomic neuropathy. Computers in Biology and Medicine. 190. 109999–109999. 2 indexed citations
6.
Barsoum, Imad, et al.. (2025). Prediction of porosity, hardness and surface roughness in additive manufactured AlSi10Mg samples. PLoS ONE. 20(3). e0316600–e0316600. 4 indexed citations
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8.
Jayaraman, Raja, et al.. (2024). Maximizing supply chain performance leveraging machine learning to anticipate customer backorders. Computers & Industrial Engineering. 194. 110414–110414. 2 indexed citations
9.
Antony, Jiju, Ahmad Mayyas, Mohammed Omar, et al.. (2024). Impact of operational excellence frameworks on sustainable performance in services: a qualitative study. International Journal of Quality & Reliability Management. 42(6). 1753–1792. 1 indexed citations
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Maalouf, Maher, et al.. (2024). A hybrid machine-learning model for solar irradiance forecasting. Clean Energy. 8(1). 100–110. 19 indexed citations
13.
14.
Kudlicki, Andrzej, et al.. (2023). Inferring Gene Regulatory Networks from RNA-seq Data Using Kernel Classification. Biology. 12(4). 518–518. 1 indexed citations
15.
Antony, Jiju, Michael Sony, Jose Arturo Garza‐Reyes, et al.. (2023). Industry 4.0 benefits, challenges and critical success factors: a comparative analysis through the lens of resource dependence theory across continents and economies. Journal of Manufacturing Technology Management. 34(7). 1073–1097. 13 indexed citations
16.
Lizarelli, Fabiane Letícia, et al.. (2023). An empirical study on Lean and its impact on sustainability in services. International Journal of Quality & Reliability Management. 41(3). 805–825. 2 indexed citations
17.
Chrysikopoulos, Constantinos V., et al.. (2023). Classification of WatSan Technologies Using Machine Learning Techniques. Water. 15(15). 2829–2829. 6 indexed citations
18.
Maalouf, Maher, et al.. (2023). Machine Learning for the Prediction of Depression Progression from Inflammation Markers. PubMed. 2023. 1–4. 2 indexed citations
19.
Maalouf, Maher, Naji Khoury, Dirar Homouz, & Kyriaki Polychronopoulou. (2019). Accurate Prediction of Gas Compressibility Factor using Kernel Ridge Regression. 1–4. 5 indexed citations
20.
Maalouf, Maher & Dirar Homouz. (2014). Kernel ridge regression using truncated newton method. Knowledge-Based Systems. 71. 339–344. 27 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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