N.S. Thakur

2.1k citations
56 papers · 1.7k indexed · h-index 24

N.S. Thakur

53 papers receiving 1.7k citations

Peers

N.S. Thakur
Comparison fields: 5 of 87
  • Computational Mechanics 861
  • Mechanical Engineering 1.4k
  • Renewable Energy, Sustainability and the Environment 428
  • Energy Engineering and Power Technology 30
  • Ecological Modeling 35
Replace Raj Kumar with:
Raj Kumar India
Anil Singh Yadav India
Sunil Chamoli India
Muneesh Sethi India
Sandesh S. Chougule India
Fuat Egelioğlu Cyprus
Antonio Bula Colombia
Radha Krishna Prasad India
Massimo Milani Italy
Kok Seng Ong Malaysia
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Citations per field
00.5×7.9×
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Citations per year

Countries citing papers authored by N.S. Thakur

Since Specialization
Citations

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

Fields of papers citing papers by N.S. Thakur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N.S. Thakur. 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 N.S. Thakur. The network helps show where N.S. Thakur may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20254
2 20231
3 20227
4 20218
5 202023
6 20191
7 201721
8 201761
9 201682
10 20162
11
Performance study of solar air heater duct having absorber plate with V down perforated baffles
20142
12 20137
13
UTILIZATION OF NON-RESPONSE AUXILIARY POPULATION MEAN IN IMPUTATION FOR MISSING OBSERVATIONS
20131
14 201345
15 201243
16 201235
17 201225
18
Numerical Analysis of Heat Transfer and Thermal Performance Analysis of Surface with Circular Profile Fins
20119
19
Linear combination based imputation method for missing data in sample
20114
20 20104

About N.S. Thakur

N.S. Thakur is a scholar working on Computational Mechanics, Mechanical Engineering, Renewable Energy, Sustainability and the Environment, Pollution and Civil and Structural Engineering, having authored 56 papers that have together received 1.7k indexed citations. Recurring topics across this work include Heat Transfer Mechanisms (29 papers), Fluid Dynamics and Turbulent Flows (22 papers), Heat Transfer and Optimization (18 papers), Solar Thermal and Photovoltaic Systems (9 papers), Tribology and Lubrication Engineering (5 papers), Energy and Environment Impacts (4 papers), Water Systems and Optimization (3 papers) and Thermal Radiation and Cooling Technologies (3 papers). The work is most often cited by research in Computational Mechanics (861 citations), Mechanical Engineering (1.4k citations), Renewable Energy, Sustainability and the Environment (428 citations), Energy Engineering and Power Technology (30 citations) and Ecological Modeling (35 citations). N.S. Thakur has collaborated with scholars based in India, Norway and Hungary. Frequent co-authors include Ranchan Chauhan, Sunil Chamoli, Muneesh Sethi, Varun, Tej Singh, J.S. Saini, Prashant Dhiman, Amar Patnaik, Anoop Kumar and S. K. Solanki. Their work appears in journals such as Renewable and Sustainable Energy Reviews, Energy Sources Part A Recovery Utilization and Environmental Effects, Solar Energy, Renewable Energy and Energy.

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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