Indian Institute of Technology Hyderabad

11.3k papers receiving 178.5k citations

Peers

Indian Institute of Technology Hyderabad
Comparison fields: 5 of 245
  • Electronic, Optical and Magnetic Materials 13.6k
  • Computer Vision and Pattern Recognition 14.7k
  • Biomedical Engineering 29.0k
  • Electrical and Electronic Engineering 36.9k
  • Materials Chemistry 29.3k
Replace Visvesvaraya National Institute of Technology with:
Visvesvaraya National Institute of Technology India
Koneru Lakshmaiah Education Foundation India
Savitribai Phule Pune University India
National Institute of Technology Karnataka India
Indian Institute of Technology Indore India
Sri Venkateswara University India
Sardar Vallabhbhai National Institute of Technology Surat India
Pondicherry University India
SASTRA University India
Osmania University India
Indian Institute of Technology Hyderabad relative to Visvesvaraya National Institute of Technology India Visvesvaraya National Institute of Technology's profile →
Citations per field
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Citations per year

Countries citing scholars working at Indian Institute of Technology Hyderabad

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Indian Institute of Technology Hyderabad. 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 Hyderabad 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 Hyderabad more than expected).

Fields of papers published by authors at Indian Institute of Technology Hyderabad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Indian Institute of Technology Hyderabad 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 Hyderabad at the time of their publication.

About Indian Institute of Technology Hyderabad

In recent decades, authors affiliated with Indian Institute of Technology Hyderabad have published 13.0k papers, which have received a total of 186.6k indexed citations . Scholars at this organization have produced 1.1k papers in Computer Vision and Pattern Recognition, 893 papers in Electronic, Optical and Magnetic Materials, 2.8k papers in Electrical and Electronic Engineering, 1.4k papers in Artificial Intelligence and 1.7k papers in Biomedical Engineering on the topics of Supercapacitor Materials and Fabrication (325 papers), Advancements in Battery Materials (296 papers), Topic Modeling (283 papers), Natural Language Processing Techniques (267 papers), Conducting polymers and applications (254 papers), Advanced Sensor and Energy Harvesting Materials (239 papers), High Entropy Alloys Studies (208 papers) and Advanced MIMO Systems Optimization (207 papers). Their work is cited by papers focused on Electronic, Optical and Magnetic Materials (13.6k citations), Computer Vision and Pattern Recognition (14.7k citations), Biomedical Engineering (29.0k citations), Electrical and Electronic Engineering (36.9k citations) and Materials Chemistry (29.3k citations). Authors at Indian Institute of Technology Hyderabad collaborate with scholars in India, United States and United Kingdom and have published in prestigious journals including Journal of Alloys and Compounds, Dalton Transactions, RSC Advances, Scientific Reports and Physics of Fluids. Some of Indian Institute of Technology Hyderabad's most productive authors include Sushmee Badhulika, C. V. Jawahar, Kirti Chandra Sahu, Chandra Shekhar Sharma, Kolluru V. L. Subramaniam, Chalavadi Krishna Mohan, Sparsh Mittal, P.P. Bhattacharjee, Ch. Subrahmanyam and Melepurath Deepa.

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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