M.L. Hbid

646 citations
28 papers · 494 · h-index 11

Impact in

Papers in

M.L. Hbid

24 papers receiving 466 citations

Peers

M.L. Hbid
Comparison fields: 5 of 79
  • Modeling and Simulation 76
  • Numerical Analysis 93
  • Applied Mathematics 87
  • Statistical and Nonlinear Physics 87
  • Public Health, Environmental and Occupational Health 151
Replace Orlando Merino with:
Orlando Merino United States
Yuanfu Shao China
Huidong Cheng China
A. Yu. Aleksandrov Russia
Zhanyuan Hou United Kingdom
Bundit Unyong Thailand
Wei Mao China
Ting‐Hui Yang Taiwan
Yingkang Xie China
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Citations per field
00.5×8.8×
Orlando Merino · 1×
Citations per year

Countries citing papers authored by M.L. Hbid

Since Specialization
Citations

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

Fields of papers citing papers by M.L. Hbid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside M.L. Hbid, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M.L. Hbid Line = papers co-authored together M.L. Hbid links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006202
2 199859
3 201746
4 202322
5 200217
6 200817
7 200115
8 200515
9 199712
10 200611
11 200611
12 20109
13 20189
14 20106
15 20066
16 20036
17 20046
18 20036
19 20095
20 19904

About M.L. Hbid

M.L. Hbid is a scholar working on Numerical Analysis, Public Health, Environmental and Occupational Health, Control and Systems Engineering, Applied Mathematics and Geometry and Topology, having authored 28 papers that have together received 494 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (9 papers), Nonlinear Differential Equations Analysis (8 papers), Stability and Controllability of Differential Equations (6 papers), Differential Equations and Numerical Methods (6 papers), Advanced Differential Equations and Dynamical Systems (6 papers), Numerical methods for differential equations (5 papers), Advanced Mathematical Modeling in Engineering (4 papers) and Nonlinear Dynamics and Pattern Formation (4 papers). The work is most often cited by research in Modeling and Simulation (76 citations), Numerical Analysis (93 citations), Applied Mathematics (87 citations), Statistical and Nonlinear Physics (87 citations) and Public Health, Environmental and Occupational Health (151 citations). M.L. Hbid has collaborated with scholars based in Morocco, France and Spain. Frequent co-authors include O. Arino, E. Ait Dads, Mohamed Ait Babram, K. P. Hadeler, Serge Stinckwich, Christophe Cambier, Tri Nguyen-Huu, Fabien Crauste, Rachid Ouifki and Naaila Ouazzani. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Communications on Pure & Applied Analysis, Applied Mathematics and Computation, Nonlinear Analysis and Mathematical Models and Methods in Applied Sciences.

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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