Indira Gandhi Delhi Technical University for Women

14.6k citations
1.7k papers ·

Impact in

Papers in

Indira Gandhi Delhi Technical University for Women

1.5k papers receiving 14.2k citations

Peers

Indira Gandhi Delhi Technical University for Women
Comparison fields: 5 of 224
  • Signal Processing 979
  • Software 337
  • Health, Toxicology and Mutagenesis 1.2k
  • Information Systems 1.8k
  • Computer Networks and Communications 1.7k
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Indira Gandhi Delhi Technical University for Women relative to J.C. Bose University of Science & Technology, YMCA India J.C. Bose University of Science & Technology, YMCA's profile →
Citations per field
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J.C. Bose University of Science & Technology, YMCA · 1×
Citations per year

Countries citing scholars working at Indira Gandhi Delhi Technical University for Women

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Indira Gandhi Delhi Technical University for Women. 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 Indira Gandhi Delhi Technical University for Women with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Indira Gandhi Delhi Technical University for Women more than expected).

Fields of papers published by authors at Indira Gandhi Delhi Technical University for Women

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Indira Gandhi Delhi Technical University for Women 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 Indira Gandhi Delhi Technical University for Women at the time of their publication.

About Indira Gandhi Delhi Technical University for Women

In recent decades, authors affiliated with Indira Gandhi Delhi Technical University for Women have published 1.7k papers, which have received a total of 14.6k indexed citations . Scholars at this organization have produced 148 papers in Signal Processing, 52 papers in Software, 230 papers in Computer Vision and Pattern Recognition, 15 papers in Health Informatics and 355 papers in Artificial Intelligence on the topics of Analog and Mixed-Signal Circuit Design (87 papers), Advancements in Semiconductor Devices and Circuit Design (75 papers), Advanced Malware Detection Techniques (69 papers), Low-power high-performance VLSI design (60 papers), Network Security and Intrusion Detection (58 papers), Sentiment Analysis and Opinion Mining (50 papers), Energy Efficient Wireless Sensor Networks (47 papers) and Spam and Phishing Detection (43 papers). Their work is cited by papers focused on Signal Processing (979 citations), Software (337 citations), Health, Toxicology and Mutagenesis (1.2k citations), Information Systems (1.8k citations) and Computer Networks and Communications (1.7k citations). Authors at Indira Gandhi Delhi Technical University for Women collaborate with scholars in India, United States and United Kingdom and have published in prestigious journals including Multimedia Tools and Applications, Wireless Personal Communications, Computers & Electrical Engineering, Journal of Ambient Intelligence and Humanized Computing and Atmospheric Environment. Some of Indira Gandhi Delhi Technical University for Women's most productive authors include Ranu Gadi, Omendra Kumar Singh, K. R. Seeja, Akash Tayal, Arun Sharma, T. K. Mandal, Chhaya Ravi Kant, Pankaj Gupta, S.C. Kaushik and Amar Kumar Mohapatra.

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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