Debashis Dey

628 citations
17 papers · 516 · h-index 11

Impact in

Papers in

Debashis Dey

17 papers receiving 500 citations

Peers

Debashis Dey
Comparison fields: 5 of 41
  • Computational Mechanics 211
  • Aerospace Engineering 215
  • Mechanical Engineering 234
  • Ceramics and Composites 21
  • Biomedical Engineering 130
Replace Zhiyuan Liao with:
Zhiyuan Liao China
Kushal Narayanaswamy United States
Toshio Tomimura Japan
Jiang Qin China
Tingting Jing China
Yewei Gui China
Lin Gao China
Sadaf Sobhani United States
Jan Boháček Austria
Jeong-Tae Kwon South Korea
Debashis Dey relative to Zhiyuan Liao China Zhiyuan Liao's profile →
Citations per field
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Zhiyuan Liao · 1×
Citations per year

Countries citing papers authored by Debashis Dey

Since Specialization
Citations

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

Fields of papers citing papers by Debashis Dey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Debashis Dey, 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 Debashis Dey Line = papers co-authored together Debashis Dey links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201799
2 199296
3 200588
4 200181
5 200332
6 202029
7
AERODYNAMIC TIP DESENSITIZATION IN AXIAL FLOW TURBINES
200120
8 198712
9 202111
10 198811
11 200711
12 20077
13 20166
14 20236
15 20205
16 20251
17 20221

About Debashis Dey

Debashis Dey is a scholar working on Mechanical Engineering, Computational Mechanics, Biomedical Engineering, Aerospace Engineering and Renewable Energy, Sustainability and the Environment, having authored 17 papers that have together received 516 indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (7 papers), Turbomachinery Performance and Optimization (6 papers), Heat Transfer Mechanisms (5 papers), Fluid Dynamics and Turbulent Flows (5 papers), Heat Transfer and Optimization (4 papers), Solar Thermal and Photovoltaic Systems (4 papers), Heat Transfer and Boiling Studies (3 papers) and Geotechnical Engineering and Underground Structures (2 papers). The work is most often cited by research in Computational Mechanics (211 citations), Aerospace Engineering (215 citations), Mechanical Engineering (234 citations), Ceramics and Composites (21 citations) and Biomedical Engineering (130 citations). Debashis Dey has collaborated with scholars based in India, United States and Türkiye. Frequent co-authors include Cengiz Camcı, Richard C. Bradt, Levent Kavurmacıoğlu, Pankaj Kumar, Okitsugu Fujiwara, Sukanta Kumar Dash and Somnath Roy. Their work appears in journals such as Journal of Turbomachinery, Heliyon, Water Resources Research, The European Physical Journal Special Topics and Journal of Environmental 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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