Nabil Mlaiki

2.5k citations
237 papers · 1.7k indexed · h-index 20

Impact in

Papers in

Nabil Mlaiki

207 papers receiving 1.7k citations

Peers

Nabil Mlaiki
Comparison fields: 5 of 79
  • Geometry and Topology 1.0k
  • Modeling and Simulation 386
  • Applied Mathematics 381
  • Numerical Analysis 171
  • Statistical and Nonlinear Physics 179
Replace Mohamed Jleli with:
Mohamed Jleli Saudi Arabia
Sumati Kumari Panda India
Hassen Aydi Tunisia
Reza Saadati Iran
Vasile Berinde Romania
Malaysian Mathematical Iran
Carlo Sinestrari Italy
Vishnu Narayan Mishra India
Agamirza E. Bashirov Cyprus
Rosana Rodrı́guez-López Spain
Nabil Mlaiki relative to Mohamed Jleli Saudi Arabia Mohamed Jleli's profile →
Citations per field
00.5×2.9×
Mohamed Jleli · 1×
Citations per year

Countries citing papers authored by Nabil Mlaiki

Since Specialization
Citations

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

Fields of papers citing papers by Nabil Mlaiki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nabil Mlaiki, 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 Nabil Mlaiki Line = papers co-authored together Nabil Mlaiki links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20241
4 20240
5 20240
6 20242
7 20241
8 202316
9 20232
10 20233
11 20238
12 20232
13 20224
14 202225
15 20224
16 20214
17 20201
18 20203
19 201915
20 201837

About Nabil Mlaiki

Nabil Mlaiki is a scholar working on Geometry and Topology, Modeling and Simulation, Numerical Analysis, Applied Mathematics and Astronomy and Astrophysics, having authored 237 papers that have together received 1.7k indexed citations. Recurring topics across this work include Fixed Point Theorems Analysis (140 papers), Fractional Differential Equations Solutions (48 papers), Advanced Differential Geometry Research (48 papers), Nonlinear Differential Equations Analysis (37 papers), Optimization and Variational Analysis (17 papers), Differential Equations and Numerical Methods (17 papers), Nonlinear Waves and Solitons (12 papers) and Fuzzy and Soft Set Theory (11 papers). The work is most often cited by research in Geometry and Topology (1.0k citations), Modeling and Simulation (386 citations), Applied Mathematics (381 citations), Numerical Analysis (171 citations) and Statistical and Nonlinear Physics (179 citations). Nabil Mlaiki has collaborated with scholars based in Saudi Arabia, Pakistan and Taiwan. Frequent co-authors include Thabet Abdeljawad, Hassen Aydi, Nizar Souayah, Ni̇hal Taş, Nihal Yılmaz Özgür, Kamal Shah, Hamood Ur Rehman, Ifrah Iqbal, Muhammad Shoaib Saleem and Aman Ullah. Their work appears in journals such as Symmetry, Journal of Inequalities and Applications, Boundary Value Problems, Fractals and Heliyon.

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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