Indian Institute of Technology Kanpur
Impact in
- Computational Theory and Mathematics top 0.5%
- Advanced Multi-Objective Optimization Algorithms
Papers in
-
- Fluid Dynamics and Turbulent Flows 570
- Computational Fluid Dynamics and Aerodynamics 355
- Fluid Dynamics and Vibration Analysis 329
-
- Advanced Combustion Engine Technologies 388
- Rheology and Fluid Dynamics Studies 338
- Top scholars
- Kalyanmoy DebAmrit PratapAvinash Kumar ÁgarwalDebasis KunduAshutosh SharmaKamal Krishna KarR.P. ChhabraParimal K. Bharadwaj
- Journals
- Tetrahedron Letters (304 papers)Physics of Fluids (279 papers)Journal of Applied Physics (271 papers)The Journal of Chemical Physics (255 papers)Inorganic Chemistry (222 papers)
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Indian Institute of Technology Kanpur
35.2k papers receiving 840.2k citations
Peers
Comparison fields: 5 of 251
- Computational Theory and Mathematics 41.6k
- Electronic, Optical and Magnetic Materials 36.9k
- Fluid Flow and Transfer Processes 16.8k
- Computational Mechanics 47k
- Materials Chemistry 80.8k
Countries citing scholars working at Indian Institute of Technology Kanpur
This map shows the geographic impact of research produced by authors working at Indian Institute of Technology Kanpur. 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 Indian Institute of Technology Kanpur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Indian Institute of Technology Kanpur more than expected).
Fields of papers published by authors at Indian Institute of Technology Kanpur
This network shows the impact of papers affiliated with Indian Institute of Technology Kanpur 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 Indian Institute of Technology Kanpur at the time of their publication.
About Indian Institute of Technology Kanpur
In recent decades, authors affiliated with Indian Institute of Technology Kanpur have published 37.4k papers, which have received a total of 842.5k indexed citations . Scholars at this organization have produced 2.6k papers in Computational Mechanics, 792 papers in Fluid Flow and Transfer Processes, 1.4k papers in Electronic, Optical and Magnetic Materials, 3.5k papers in Materials Chemistry and 4.5k papers in Electrical and Electronic Engineering on the topics of Fluid Dynamics and Turbulent Flows (570 papers), Advanced Combustion Engine Technologies (388 papers), Statistical Distribution Estimation and Applications (364 papers), Computational Fluid Dynamics and Aerodynamics (355 papers), Advanced Chemical Physics Studies (347 papers), Rheology and Fluid Dynamics Studies (338 papers), Spectroscopy and Quantum Chemical Studies (337 papers) and Fluid Dynamics and Vibration Analysis (329 papers). Their work is cited by papers focused on Computational Theory and Mathematics (41.6k citations), Electronic, Optical and Magnetic Materials (36.9k citations), Fluid Flow and Transfer Processes (16.8k citations), Computational Mechanics (47k citations) and Materials Chemistry (80.8k citations). Authors at Indian Institute of Technology Kanpur collaborate with scholars in India, United States and Germany and have published in prestigious journals including Tetrahedron Letters, Physics of Fluids, Journal of Applied Physics, The Journal of Chemical Physics and Inorganic Chemistry. Some of Indian Institute of Technology Kanpur's most productive authors include Kalyanmoy Deb, Amrit Pratap, Avinash Kumar Ágarwal, Debasis Kundu, Ashutosh Sharma, Kamal Krishna Kar, R.P. Chhabra, Parimal K. Bharadwaj, Amalendu Chandra and Vadapalli Chandrasekhar.
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.