M. Archana

30 papers receiving 634 citations

Peers

M. Archana
Comparison fields: 5 of 42
  • Computational Mechanics 467
  • Biomedical Engineering 622
  • Mechanical Engineering 512
  • Fluid Flow and Transfer Processes 54
  • Modeling and Simulation 21
Replace Rajat Tripathi with:
Rajat Tripathi India
S. Baag India
S. Ahmad Pakistan
Esraa N. Thabet Egypt
Mair Khan Pakistan
Faisal Shah Pakistan
N.S. Shashikumar India
M. S. Tshehla South Africa
Rabia Malik Pakistan
A. Bhattacharyya India
M. Archana relative to Rajat Tripathi India Rajat Tripathi's profile →
Citations per field
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Rajat Tripathi · 1×
Citations per year

Countries citing papers authored by M. Archana

Since Specialization
Citations

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

Fields of papers citing papers by M. Archana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202083
2 201773
3 201868
4 201860
5 201744
6 202243
7 202038
8 202335
9 201829
10 201726
11 201826
12 201722
13 201819
14 201916
15 201911
16 20229
17 20179
18 20249
19 20188
20 20207

About M. Archana

M. Archana is a scholar working on Biomedical Engineering, Mechanical Engineering, Computational Mechanics, Renewable Energy, Sustainability and the Environment and Information Systems, having authored 34 papers that have together received 661 indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (29 papers), Heat Transfer Mechanisms (25 papers), Fluid Dynamics and Turbulent Flows (20 papers), Solar Thermal and Photovoltaic Systems (3 papers), Rheology and Fluid Dynamics Studies (2 papers), Nanoparticles: synthesis and applications (2 papers), Fractional Differential Equations Solutions (2 papers) and Gaze Tracking and Assistive Technology (1 paper). The work is most often cited by research in Computational Mechanics (467 citations), Biomedical Engineering (622 citations), Mechanical Engineering (512 citations), Fluid Flow and Transfer Processes (54 citations) and Modeling and Simulation (21 citations). M. Archana has collaborated with scholars based in India, United States and Pakistan. Frequent co-authors include B. C. Prasannakumara, B. J. Gireesha, Rama Subba Reddy Gorla, K. Ganesh Kumar, B. Mahanthesh, Oluwole Daniel Makinde, B.J. Gireesha, Nehad Ali Shah, B.J. Gireesha and N.S. Shashikumar. Their work appears in journals such as Numerical Heat Transfer Part A Applications, International Journal of Numerical Methods for Heat & Fluid Flow, International Journal of Thermofluids, Defect and diffusion forum/Diffusion and defect data, solid state data. Part A, Defect and diffusion forum and Physica A Statistical Mechanics and its 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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