Precious Sibanda

6.8k citations
257 papers · 5.7k · h-index 40

Impact in

Papers in

Precious Sibanda

251 papers receiving 5.5k citations

Peers

Precious Sibanda
Comparison fields: 5 of 99
  • Computational Mechanics 3.8k
  • Modeling and Simulation 634
  • Biomedical Engineering 5.1k
  • Mechanical Engineering 3.7k
  • Fluid Flow and Transfer Processes 414
Replace M. Sajid with:
M. Sajid Pakistan
Zafar Hayat Khan Pakistan
Liancun Zheng China
G. Domairry Iran
O. Anwar Bég United Kingdom
K. Vajravelu United States
Umar Khan Pakistan
Rizwan Ul Haq Pakistan
Roslinda Nazar Malaysia
Fazle Mabood Canada
Precious Sibanda relative to M. Sajid Pakistan M. Sajid's profile →
Citations per field
00.5×1.5×
M. Sajid · 1×
Citations per year

Countries citing papers authored by Precious Sibanda

Since Specialization
Citations

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

Fields of papers citing papers by Precious Sibanda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 257 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012253
2 2016205
3 2012195
4 2018146
5 2010139
6 2018110
7 2009104
8 201094
9 201685
10 201384
11 201479
12 201077
13 201175
14 201568
15 201567
16 201766
17 201365
18 201264
19 201462
20 200862

About Precious Sibanda

Precious Sibanda is a scholar working on Biomedical Engineering, Computational Mechanics, Mechanical Engineering, Modeling and Simulation and Numerical Analysis, having authored 257 papers that have together received 5.7k indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (206 papers), Fluid Dynamics and Turbulent Flows (154 papers), Heat Transfer Mechanisms (112 papers), Fractional Differential Equations Solutions (39 papers), Heat and Mass Transfer in Porous Media (28 papers), Heat Transfer and Optimization (28 papers), Rheology and Fluid Dynamics Studies (20 papers) and Differential Equations and Numerical Methods (17 papers). The work is most often cited by research in Computational Mechanics (3.8k citations), Modeling and Simulation (634 citations), Biomedical Engineering (5.1k citations), Mechanical Engineering (3.7k citations) and Fluid Flow and Transfer Processes (414 citations). Precious Sibanda has collaborated with scholars based in South Africa, India and Eswatini. Frequent co-authors include S. S. Motsa, Sachin Shaw, Sabyasachi Mondal, Peri K. Kameswaran, Hiranmoy Mondal, P. V. S. N. Murthy, I. S. Oyelakin, Mahesha Narayana, Stanford Shateyi and Oluwole Daniel Makinde. Their work appears in journals such as Boundary Value Problems, International Journal of Heat and Mass Transfer, International Journal of Ambient Energy, Journal of Heat Transfer and International Journal of Computational Methods.

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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