Anis Riahi

31 papers receiving 334 citations

Peers

Anis Riahi
Comparison fields: 5 of 58
  • Computational Mechanics 148
  • Modeling and Simulation 23
  • Mechanical Engineering 178
  • Biomedical Engineering 205
  • Applied Mathematics 31
Replace Qiu‐Hong Shi with:
Qiu‐Hong Shi China
Mohammad Akram Saudi Arabia
Naveed Khan Pakistan
F. S. Bayones Saudi Arabia
M. Famouri Iran
Mashael M. AlBaidani Saudi Arabia
Nawa Alshammari Saudi Arabia
Taha Aziz South Africa
Maria Cristina Patria Italy
Alessandra Borrelli Italy
Anis Riahi relative to Qiu‐Hong Shi China Qiu‐Hong Shi's profile →
Citations per field
00.5×11×
Qiu‐Hong Shi · 1×
Citations per year

Countries citing papers authored by Anis Riahi

Since Specialization
Citations

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

Fields of papers citing papers by Anis Riahi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202065
2 202062
3 202250
4 202250
5 199023
6 200913
7 20148
8 20217
9 20215
10 20135
11 20085
12 20104
13 20184
14 20174
15 20203
16 20233
17 19933
18 20073
19 20102
20 20242

About Anis Riahi

Anis Riahi is a scholar working on Mathematical Physics, Applied Mathematics, Statistics and Probability, Biomedical Engineering and Computational Mechanics, having authored 40 papers that have together received 338 indexed citations. Recurring topics across this work include Random Matrices and Applications (8 papers), Nanofluid Flow and Heat Transfer (7 papers), Stochastic processes and financial applications (6 papers), Fractional Differential Equations Solutions (6 papers), Fluid Dynamics and Turbulent Flows (6 papers), Heat Transfer Mechanisms (4 papers), Advanced Algebra and Geometry (4 papers) and Mathematical Analysis and Transform Methods (4 papers). The work is most often cited by research in Computational Mechanics (148 citations), Modeling and Simulation (23 citations), Mechanical Engineering (178 citations), Biomedical Engineering (205 citations) and Applied Mathematics (31 citations). Anis Riahi has collaborated with scholars based in Tunisia, Saudi Arabia and Pakistan. Frequent co-authors include Wathek Chammam, Waqar Azeem Khan, Syed Zaheer Abbas, Shahid Farooq, M. Ijaz Khan, Waqar Azeem Khan, A. Aldabesh, Iskander Tlili, Sami Ullah Khan and Nargis Khan. Their work appears in journals such as Infinite Dimensional Analysis Quantum Probability and Related Topics, Open Systems & Information Dynamics, Energy & Environment, Stochastics and International Journal for Numerical Methods in Engineering.

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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