Institute of Infrastructure Technology Research and Management

20.7k citations
1.2k papers ·

Impact in

Papers in

Institute of Infrastructure Technology Research and Management

1.1k papers receiving 20.7k citations

Peers

Institute of Infrastructure Technology Research and Management
Comparison fields: 5 of 187
  • Mechanical Engineering 6.7k
  • Cognitive Neuroscience 1.5k
  • Ecological Modeling 121
  • Control and Systems Engineering 1.2k
  • Automotive Engineering 454
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Institute of Infrastructure Technology Research and Management relative to Dr. Babasaheb Ambedkar Technological University India Dr. Babasaheb Ambedkar Technological University's profile →
Citations per field
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Citations per year

Countries citing scholars working at Institute of Infrastructure Technology Research and Management

Since Specialization
Citations

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

Fields of papers published by authors at Institute of Infrastructure Technology Research and Management

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Institute of Infrastructure Technology Research and Management 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 Institute of Infrastructure Technology Research and Management at the time of their publication.

About Institute of Infrastructure Technology Research and Management

In recent decades, authors affiliated with Institute of Infrastructure Technology Research and Management have published 1.2k papers, which have received a total of 20.7k indexed citations . Scholars at this organization have produced 284 papers in Mechanical Engineering, 7 papers in Process Chemistry and Technology, 37 papers in Automotive Engineering, 97 papers in Control and Systems Engineering and 76 papers in Civil and Structural Engineering on the topics of Advanced machining processes and optimization (139 papers), EEG and Brain-Computer Interfaces (36 papers), Multi-Criteria Decision Making (32 papers), Adaptive Control of Nonlinear Systems (32 papers), Advanced Machining and Optimization Techniques (31 papers), Magnetism in coordination complexes (28 papers), Geotechnical Engineering and Soil Stabilization (27 papers) and Computational Fluid Dynamics and Aerodynamics (26 papers). Their work is cited by papers focused on Mechanical Engineering (6.7k citations), Cognitive Neuroscience (1.5k citations), Ecological Modeling (121 citations), Control and Systems Engineering (1.2k citations) and Automotive Engineering (454 citations). Authors at Institute of Infrastructure Technology Research and Management collaborate with scholars in India, China and Singapore and have published in prestigious journals including Tribology International, Sustainable materials and technologies, Computers in Biology and Medicine, Journal of Manufacturing Processes and International Journal on Interactive Design and Manufacturing (IJIDeM). Some of Institute of Infrastructure Technology Research and Management's most productive authors include Navneet Khanna, Manish Dev Sharma, U Rajendra Acharya, Dipankar Deb, Munish Kumar Gupta, Harsh S. Dhiman, Gautam Choubey, Grzegorz Królczyk, Prassan Shah and Kumar Abhishek.

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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