National Institute of Technology, Puducherry

19.1k citations
1.5k papers ·

Impact in

Papers in

National Institute of Technology, Puducherry

1.3k papers receiving 19.1k citations

Peers

National Institute of Technology, Puducherry
Comparison fields: 5 of 187
  • Renewable Energy, Sustainability and the Environment 3.2k
  • Modeling and Simulation 541
  • Energy Engineering and Power Technology 216
  • Industrial and Manufacturing Engineering 695
  • Computer Vision and Pattern Recognition 983
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Citations per field
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Citations per year

Countries citing scholars working at National Institute of Technology, Puducherry

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at National Institute of Technology, Puducherry. 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 papers produced at National Institute of Technology, Puducherry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites National Institute of Technology, Puducherry more than expected).

Fields of papers published by authors at National Institute of Technology, Puducherry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with National Institute of Technology, Puducherry at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with National Institute of Technology, Puducherry at the time of their publication.

About National Institute of Technology, Puducherry

In recent decades, authors affiliated with National Institute of Technology, Puducherry have published 1.5k papers, which have received a total of 19.1k indexed citations . Scholars at this organization have produced 49 papers in Modeling and Simulation, 122 papers in Renewable Energy, Sustainability and the Environment, 259 papers in Electrical and Electronic Engineering, 44 papers in Industrial and Manufacturing Engineering and 32 papers in Media Technology on the topics of Mathematical and Theoretical Epidemiology and Ecology Models (64 papers), Nonlinear Differential Equations Analysis (46 papers), Advanced DC-DC Converters (45 papers), Solar-Powered Water Purification Methods (34 papers), Fractional Differential Equations Solutions (31 papers), Supercapacitor Materials and Fabrication (30 papers), Manufacturing Process and Optimization (29 papers) and Electrocatalysts for Energy Conversion (28 papers). Their work is cited by papers focused on Renewable Energy, Sustainability and the Environment (3.2k citations), Modeling and Simulation (541 citations), Energy Engineering and Power Technology (216 citations), Industrial and Manufacturing Engineering (695 citations) and Computer Vision and Pattern Recognition (983 citations). Authors at National Institute of Technology, Puducherry collaborate with scholars in India, Saudi Arabia and Taiwan and have published in prestigious journals including Environmental Science and Pollution Research, Expert Systems with Applications, Journal of Energy Storage, IEEE Access and Arabian Journal for Science and Engineering. Some of National Institute of Technology, Puducherry's most productive authors include Sendhil Kumar Natarajan, Ghanshaym Singha Mahapatra, M. V. A. Raju Bahubalendruni, Malaya Kumar Nath, Ragupathy Dhanusuraman, Subbarama Kousik Suraparaju, Venkatesan Govindaraj, Ramasamy Dhanalakshmi, Chandrashekar Raghutla and Asha Raveendran.

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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