Ndolane Sene

2.3k citations
74 papers · 1.9k · h-index 27

Impact in

Papers in

Ndolane Sene

73 papers receiving 1.8k citations

Peers

Ndolane Sene
Comparison fields: 5 of 100
  • Modeling and Simulation 1.4k
  • Numerical Analysis 439
  • Applied Mathematics 391
  • Statistical and Nonlinear Physics 349
  • Public Health, Environmental and Occupational Health 401
Replace Badr Saad T. Alkahtani with:
Badr Saad T. Alkahtani Saudi Arabia
Jihad Asad Palestinian Territory
Rashid Jan Saudi Arabia
Toufik Mekkaoui Morocco
Mati ur Rahman China
M. M. Khader Egypt
Emile Franc Doungmo Goufo South Africa
Khaled M. Saad Saudi Arabia
Rania Saadeh Jordan
Moustafa El-Shahed Saudi Arabia
Ndolane Sene relative to Badr Saad T. Alkahtani Saudi Arabia Badr Saad T. Alkahtani's profile →
Citations per field
00.5×3.0×
Badr Saad T. Alkahtani · 1×
Citations per year

Countries citing papers authored by Ndolane Sene

Since Specialization
Citations

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

Fields of papers citing papers by Ndolane Sene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020133
2 2020110
3 202070
4 202062
5 202157
6 201952
7 202252
8 202047
9 201845
10 201945
11 201944
12 202044
13 202041
14 202241
15 202140
16 201940
17 202240
18 202040
19 201938
20 202237

About Ndolane Sene

Ndolane Sene is a scholar working on Modeling and Simulation, Numerical Analysis, Applied Mathematics, Biomedical Engineering and Control and Systems Engineering, having authored 74 papers that have together received 1.9k indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (62 papers), Nonlinear Differential Equations Analysis (25 papers), Iterative Methods for Nonlinear Equations (18 papers), Nanofluid Flow and Heat Transfer (17 papers), Advanced Control Systems Design (10 papers), Mathematical and Theoretical Epidemiology and Ecology Models (9 papers), Chaos control and synchronization (9 papers) and Heat Transfer Mechanisms (6 papers). The work is most often cited by research in Modeling and Simulation (1.4k citations), Numerical Analysis (439 citations), Applied Mathematics (391 citations), Statistical and Nonlinear Physics (349 citations) and Public Health, Environmental and Occupational Health (401 citations). Ndolane Sene has collaborated with scholars based in Senegal, Saudi Arabia and Pakistan. Frequent co-authors include Mehmet Yavuz, Mamadou Lamine Diouf, J. F. Gómez‐Aguilar, Gautam Srivastava, Awa Traoré, Kamel Guedri, Abir Mouldi, Ahmed M. Galal, Anwar Saeed and Arshad Khan. Their work appears in journals such as Chaos Solitons & Fractals, Alexandria Engineering Journal, Discrete and Continuous Dynamical Systems - S, Complexity and The Journal of Nonlinear Sciences and Applications.

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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