Fadi Ibrahim

660 total citations
18 papers, 278 citations indexed

About

Fadi Ibrahim is a scholar working on Control and Systems Engineering, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Fadi Ibrahim has authored 18 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Control and Systems Engineering, 7 papers in Molecular Biology and 5 papers in Artificial Intelligence. Recurrent topics in Fadi Ibrahim's work include Fault Detection and Control Systems (4 papers), Advanced Control Systems Optimization (4 papers) and Reinforcement Learning in Robotics (3 papers). Fadi Ibrahim is often cited by papers focused on Fault Detection and Control Systems (4 papers), Advanced Control Systems Optimization (4 papers) and Reinforcement Learning in Robotics (3 papers). Fadi Ibrahim collaborates with scholars based in Canada, France and Belgium. Fadi Ibrahim's co-authors include Biao Huang, Kirubakaran Velswamy, Oguzhan Dogru, Mark Nixon, Shu Xu, Mazen Alamir, Stephan Gabos, Jean‐Pierre Corriou, Hongtian Chen and Hariprasad Kodamana and has published in prestigious journals such as PLoS ONE, Water Research and Industrial & Engineering Chemistry Research.

In The Last Decade

Fadi Ibrahim

17 papers receiving 269 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fadi Ibrahim Canada 10 158 53 39 39 35 18 278
Mattia Vallerio Belgium 11 267 1.7× 29 0.5× 53 1.4× 86 2.2× 28 0.8× 21 381
Panagiotis Petsagkourakis United Kingdom 8 206 1.3× 43 0.8× 84 2.2× 42 1.1× 23 0.7× 19 341
Dorin Șendrescu Romania 9 225 1.4× 32 0.6× 102 2.6× 16 0.4× 24 0.7× 67 332
Gustavo A. de Andrade Brazil 10 140 0.9× 21 0.4× 22 0.6× 19 0.5× 51 1.5× 35 328
Mohammed Saad Faizan Bangi United States 9 259 1.6× 64 1.2× 95 2.4× 22 0.6× 70 2.0× 11 496
Erdal Aydın Türkiye 12 148 0.9× 48 0.9× 16 0.4× 15 0.4× 45 1.3× 23 332
Melis Onel United States 11 189 1.2× 38 0.7× 34 0.9× 36 0.9× 88 2.5× 14 336
Xinggao Liu China 13 225 1.4× 102 1.9× 27 0.7× 19 0.5× 84 2.4× 15 390
T. Larsson Norway 9 408 2.6× 42 0.8× 31 0.8× 14 0.4× 71 2.0× 15 457
Armando B. Corripio United States 6 392 2.5× 31 0.6× 18 0.5× 15 0.4× 48 1.4× 15 493

Countries citing papers authored by Fadi Ibrahim

Since Specialization
Citations

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

Fields of papers citing papers by Fadi Ibrahim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fadi Ibrahim

This figure shows the co-authorship network connecting the top 25 collaborators of Fadi Ibrahim. A scholar is included among the top collaborators of Fadi Ibrahim 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 Fadi Ibrahim. Fadi Ibrahim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Dogru, Oguzhan, et al.. (2024). Reinforcement Learning in Process Industries: Review and Perspective. IEEE/CAA Journal of Automatica Sinica. 11(2). 283–300. 27 indexed citations
2.
Dogru, Oguzhan, Kirubakaran Velswamy, Fadi Ibrahim, et al.. (2022). Reinforcement Learning Approach to Autonomous PID Tuning. 2022 American Control Conference (ACC). 2691–2696. 2 indexed citations
3.
Dogru, Oguzhan, Kirubakaran Velswamy, Fadi Ibrahim, et al.. (2022). Reinforcement learning approach to autonomous PID tuning. Computers & Chemical Engineering. 161. 107760–107760. 87 indexed citations
4.
Dogru, Oguzhan, et al.. (2021). Online reinforcement learning for a continuous space system with experimental validation. Journal of Process Control. 104. 86–100. 38 indexed citations
5.
Velswamy, Kirubakaran, et al.. (2020). A hierarchical constrained reinforcement learning for optimization of bitumen recovery rate in a primary separation vessel. Computers & Chemical Engineering. 140. 106939–106939. 20 indexed citations
6.
Fang, Mengqi, et al.. (2019). Hierarchically Distributed Monitoring for the Early Prediction of Gas Flare Events. Industrial & Engineering Chemistry Research. 58(26). 11352–11363. 20 indexed citations
7.
Soebandrio, Amin, et al.. (2017). Design, synthesis, and functional testing of recombinant cell penetrating peptides. Journal of Physics Conference Series. 884. 12030–12030.
8.
Aitken, Karen, Frank J. Penna, Jiaxin Jiang, et al.. (2016). Uropathogenic E.coli (UPEC) Infection Induces Proliferation through Enhancer of Zeste Homologue 2 (EZH2). PLoS ONE. 11(3). e0149118–e0149118. 13 indexed citations
9.
Isa, Mustafa Alhaji, et al.. (2015). Bacteriological Analysis of Sachet Water in Maiduguri Metropolis. 2(1). 20–25. 10 indexed citations
10.
Khare, Swanand, Aaron Cheung, Biao Huang, et al.. (2014). Mode of action classification of chemicals using multi-concentration time-dependent cellular response profiles. Computational Biology and Chemistry. 49. 23–35. 11 indexed citations
11.
Ibrahim, Fadi, et al.. (2012). MPC based ring deberking process optimization. 1–4. 2 indexed citations
12.
Khatibisepehr, Shima, et al.. (2011). Data-based modeling and prediction of cytotoxicity induced by contaminants in water resources. Computational Biology and Chemistry. 35(2). 69–80. 8 indexed citations
13.
Ibrahim, Fadi, et al.. (2010). Early determination of toxicant concentration in water supply using MHE. Water Research. 44(10). 3252–3260. 12 indexed citations
14.
Ibrahim, Fadi, et al.. (2010). A Mathematical Model of In Vitro Estrogen-Related Cancer Cell Growth Based on Cell-Cycle Mechanism. IFAC Proceedings Volumes. 43(6). 263–268. 1 indexed citations
15.
Curry, Sarah, Fadi Ibrahim, Michael McDermott, et al.. (2010). Rhabdomyosarcoma-Associated Renal Cell Carcinoma: A Link with Constitutional TP53 Mutation. Pediatric and Developmental Pathology. 14(3). 248–251. 7 indexed citations
16.
Ibrahim, Fadi, et al.. (2009). Effects of Estrogen Contamination on Human Cells: Modeling and Prediction Based on Michaelis-Menten Kinetics. Journal of Water Resource and Protection. 1(5). 336–344. 3 indexed citations
17.
Alamir, Mazen, et al.. (2006). Diagnosis and on-line parametric estimation of simulated moving bed. 37. 7656–7661. 3 indexed citations
18.
Alamir, Mazen, Fadi Ibrahim, & Jean‐Pierre Corriou. (2005). A flexible nonlinear model predictive control scheme for quality/performance handling in nonlinear SMB chromatography. Journal of Process Control. 16(4). 333–344. 14 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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