P. D. Ariel

2.2k citations
74 papers · 2.0k indexed · h-index 24
Topics
Nanofluid Flow and Heat Transfer (41 papers)Fluid Dynamics and Turbulent Flows (35 papers)Rheology and Fluid Dynamics Studies (27 papers)
Partner nations
CanadaIndiaKenya

In The Last Decade

P. D. Ariel

72 papers receiving 1.8k citations

Peers

P. D. Ariel
Comparison fields: 5 of 56
  • Biomedical Engineering 1.6k
  • Computational Mechanics 1.1k
  • Mechanical Engineering 995
  • Modeling and Simulation 454
  • Fluid Flow and Transfer Processes 347
Replace Takashi Masuoka with:
Takashi Masuoka Japan
V. M. Soundalgekar India
Mukesh Kumar Awasthi India
W. Wang China
C. Y. Wang United States
B. S. Bhadauria India
M. F. El‐Sayed Egypt
M. S. Malashetty India
P. Puri United States
A. P. Hooper United Kingdom
P. D. Ariel relative to Takashi Masuoka Japan Takashi Masuoka's profile →
Citations per field
00.5×1.5×1.9×
Takashi Masuoka · 1×
Citations per year

Countries citing papers authored by P. D. Ariel

Since Specialization
Citations

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

Fields of papers citing papers by P. D. Ariel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. D. Ariel. 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 P. D. Ariel. The network helps show where P. D. Ariel may publish in the future.

Co-authorship network of co-authors of P. D. Ariel

This figure shows the co-authorship network connecting the top 25 collaborators of P. D. Ariel. A scholar is included among the top collaborators of P. D. Ariel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with P. D. Ariel. P. D. Ariel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 7
3
Homotopy Perturbation Method and the Stagnation Point Flow
2
4 44
5 1
6 37
7 180
8 106
9 27
10 165
11 136
12 35
13 57
14 9
15 12
16 28
17 2
18 1
19 11
20 26

About P. D. Ariel

P. D. Ariel is a scholar working on Fluid Flow and Transfer Processes, Modeling and Simulation and Computational Mechanics, having authored 74 papers that have together received 2.0k indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (41 papers), Fluid Dynamics and Turbulent Flows (35 papers) and Rheology and Fluid Dynamics Studies (27 papers). The work is most often cited by research in Modeling and Simulation (454 citations), Fluid Flow and Transfer Processes (347 citations) and Computational Mechanics (1.1k citations). P. D. Ariel has collaborated with scholars based in Canada, India and Kenya. Frequent co-authors include S. Asghar, Tasawar Hayat, T. Hayat, R. Ellahi, P. K. Bhatia, Muhammed I. Syam, Qasem M. Al‐Mdallal, Pooja Sharma, P.D.S. Verma and M. Tezer‐Sezgin. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Journal of Applied Mechanics and Scientific American.

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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