M. Mezghani

689 total citations
49 papers, 513 citations indexed

About

M. Mezghani is a scholar working on Ocean Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, M. Mezghani has authored 49 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Ocean Engineering, 23 papers in Mechanical Engineering and 17 papers in Mechanics of Materials. Recurrent topics in M. Mezghani's work include Reservoir Engineering and Simulation Methods (32 papers), Hydraulic Fracturing and Reservoir Analysis (17 papers) and Hydrocarbon exploration and reservoir analysis (16 papers). M. Mezghani is often cited by papers focused on Reservoir Engineering and Simulation Methods (32 papers), Hydraulic Fracturing and Reservoir Analysis (17 papers) and Hydrocarbon exploration and reservoir analysis (16 papers). M. Mezghani collaborates with scholars based in United States, France and Saudi Arabia. M. Mezghani's co-authors include F. Roggero, G. Casamatta, G. Roux, M.V. Le Lann, B. Dahhou, M. Cabassud, Nathalie Lucet, Larry S. Fung, Ali H. Doğru and Usuf Middya and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Control Systems Technology and Geological Society London Special Publications.

In The Last Decade

M. Mezghani

44 papers receiving 472 citations

Peers

Countries citing papers authored by M. Mezghani

Since Specialization

Citations

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

Fields of papers citing papers by M. Mezghani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Mezghani

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

#	Work	Indexed citations
1	Data Driven Subsurface Workflow for Geothermal Resource Exploration: Applications of Machine Learning Methodology 2024 ·(unknown), Walid Hussein, M. Mezghani, Fatai Anifowose	1
2	Quantitative assessment of rock lithology from gamma-ray and mud logging data 2023 ·Geoenergy Science and Engineering ·(unknown), (unknown), Leyla Ismailova, M. Mezghani	14
3	Fast Reservoir Characterization with AI-Based Lithology Prediction Using Drill Cuttings Images and Noisy Labels 2023 ·Journal of Imaging ·(unknown), (unknown), M. Mezghani, (unknown)	2
4	Minimizing Geological Core Destructive Analysis Using Machine Learning 2023 ·M. Mezghani, Liang Tao	1
5	From Well to Field: Reservoir Rock Porosity Prediction from Advanced Mud Gas Data Using Machine Learning Methodology 2023 ·Fatai Anifowose, M. Mezghani, (unknown), (unknown)	1
6	Toward Autonomous Wellsite Geology: Artificial Intelligence for Cutting Lithology Prediction 2022 ·M. Mezghani, (unknown)	1
7	A First Attempt to Predict Reservoir Porosity from Advanced Mud Gas Data 2022 ·International Petroleum Technology Conference ·Fatai Anifowose, M. Mezghani, (unknown), (unknown)	4
8	Contributions of machine learning to quantitative and real-time mud gas data analysis: A critical review 2022 ·SHILAP Revista de lepidopterología ·Fatai Anifowose, M. Mezghani, (unknown), (unknown)	7
9	Linear and Nonlinear Controls of Wireline Logs on Automated Grain Size Estimation Using Machine Learning Approach 2021 ·Fatai Anifowose, (unknown), M. Mezghani	2
10	Clastic Reservoir Rock Grain Size Estimation from Wireline Logs Using a Random Forest Model: Initial Results 2020 ·Fatai Anifowose, (unknown), M. Mezghani	1
11	From Drone-Based Remote Sensing to Digital Outcrop Modeling: Integrated Workflow for Quantitative Outcrop Interpretation 2018 ·M. Mezghani, (unknown), (unknown)	3
12	New Frontiers in Large Scale Reservoir Simulation 2011 ·Ali H. Doğru, Larry S. Fung, Usuf Middya, Tareq M. Al-Shaalan, (unknown), (unknown), (unknown), (unknown), Jorge A. Pita, (unknown), M. Mezghani, (unknown), (unknown), (unknown), (unknown), (unknown)	26
13	Combining Gradual Deformation and Upscaling Techniques for Direct Conditioning of Fine-Scale Reservoir Models to Interference Test Data 2004 ·SPE Journal ·M. Mezghani, F. Roggero	10
14	Quantitative use of 4D Seismic Data For Geological Modeling & Reservoir Characterization Through History Matching 2004 ·M. Mezghani, (unknown), Nathalie Lucet, (unknown)	1
15	In Search of an Optimal Parameterization : An Innovative Approach to Reservoir Data Integration 2003 ·SPE Annual Technical Conference and Exhibition ·Thomas Schaaf, M. Mezghani, Guy Chavent	4
16	CONSTRAINING STOCHASTIC RESERVOIR MODELS TO DYNAMIC DATA: AN INTEGRATED APPROACH 2002 ·F. Roggero, M. Mezghani, L. Y. Hu, M. Le Ravalec, Darryl Fenwick	3
17	Direct Conditioning of Fine-Scale Facies Models to Dynamic Data by Combining Gradual Deformation and Numerical Upscaling Techniques 2002 ·Thomas Schaaf, M. Mezghani, Guy Chavent	9
18	Application of iterative learning control to an exothermic semibatch chemical reactor 2002 ·IEEE Transactions on Control Systems Technology ·M. Mezghani, G. Roux, M. Cabassud, M.V. Le Lann, B. Dahhou, G. Casamatta	71
19	Combining Gradual Deformation and Upscaling Techniques for Direct Conditioning of Fine Scale Reservoir Models to Dynamic Data 2001 ·SPE Annual Technical Conference and Exhibition ·M. Mezghani, F. Roggero	12
20	Robust iterative learning control of an exothermic semi-batch chemical reactor 2001 ·Mathematics and Computers in Simulation ·M. Mezghani, G. Roux, M. Cabassud, B. Dahhou, M.V. Le Lann, G. Casamatta	22

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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