Centre for Development of Advanced Computing

26.6k citations
2.7k papers ·

Impact in

Papers in

Centre for Development of Advanced Computing

2.3k papers receiving 25.5k citations

Peers

Centre for Development of Advanced Computing
Comparison fields: 5 of 233
  • Computer Networks and Communications 4.6k
  • Signal Processing 2.0k
  • Information Systems 3.1k
  • Computer Vision and Pattern Recognition 2.8k
  • Artificial Intelligence 4.2k
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International Institute of Information Technology India
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Tata Consultancy Services (India) India
Aditya Birla (India) India
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International Institute of Information Technology Bangalore India
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Citations per field
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International Institute of Information Technology · 1×
Citations per year

Countries citing scholars working at Centre for Development of Advanced Computing

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Centre for Development of Advanced Computing. 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 Centre for Development of Advanced Computing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Centre for Development of Advanced Computing more than expected).

Fields of papers published by authors at Centre for Development of Advanced Computing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Centre for Development of Advanced Computing 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 Centre for Development of Advanced Computing at the time of their publication.

About Centre for Development of Advanced Computing

In recent decades, authors affiliated with Centre for Development of Advanced Computing have published 2.7k papers, which have received a total of 26.6k indexed citations . Scholars at this organization have produced 180 papers in Hardware and Architecture, 286 papers in Signal Processing, 566 papers in Computer Networks and Communications, 436 papers in Information Systems and 582 papers in Artificial Intelligence on the topics of Advanced Malware Detection Techniques (148 papers), Network Security and Intrusion Detection (144 papers), Advanced Chemical Sensor Technologies (115 papers), Natural Language Processing Techniques (104 papers), Parallel Computing and Optimization Techniques (95 papers), Distributed and Parallel Computing Systems (83 papers), Low-power high-performance VLSI design (81 papers) and IoT and Edge/Fog Computing (79 papers). Their work is cited by papers focused on Computer Networks and Communications (4.6k citations), Signal Processing (2.0k citations), Information Systems (3.1k citations), Computer Vision and Pattern Recognition (2.8k citations) and Artificial Intelligence (4.2k citations). Authors at Centre for Development of Advanced Computing collaborate with scholars in India, United States and United Kingdom and have published in prestigious journals including Journal of Biomolecular Structure and Dynamics, Scientific Reports, Journal of Food Engineering, PLoS ONE and IEEE Sensors Journal. Some of Centre for Development of Advanced Computing's most productive authors include Nabarun Bhattacharyya, Dilip Kumar, Rajib Bandyopadhyay, Bipan Tudu, R. B. Patel, Trilok Chand Aseri, Rajendra Joshi, M. Sasikumar, Arun Jana and Akanksha Joshi.

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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