Thakur College of Engineering and Technology

4k citations
598 papers ·

Impact in

Papers in

Thakur College of Engineering and Technology

465 papers receiving 4k citations

Peers

Thakur College of Engineering and Technology
Comparison fields: 5 of 178
  • Computer Vision and Pattern Recognition 613
  • Signal Processing 212
  • Artificial Intelligence 664
  • Information Systems 448
  • Health Informatics 41
Replace International Institute of Information Technology with:
International Institute of Information Technology India
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Thakur College of Engineering and Technology relative to International Institute of Information Technology India International Institute of Information Technology's profile →
Citations per field
00.5×1.5×1.9×
International Institute of Information Technology · 1×
Citations per year

Countries citing scholars working at Thakur College of Engineering and Technology

Since Specialization
Citations

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

Fields of papers published by authors at Thakur College of Engineering and Technology

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Thakur College of Engineering and Technology 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 Thakur College of Engineering and Technology at the time of their publication.

About Thakur College of Engineering and Technology

In recent decades, authors affiliated with Thakur College of Engineering and Technology have published 598 papers, which have received a total of 4k indexed citations . Scholars at this organization have produced 29 papers in Signal Processing, 76 papers in Computer Vision and Pattern Recognition, 77 papers in Information Systems, 94 papers in Artificial Intelligence and 18 papers in Media Technology on the topics of Antenna Design and Analysis (18 papers), Smart Agriculture and AI (18 papers), Cryptographic Implementations and Security (16 papers), Artificial Intelligence in Healthcare (15 papers), Biometric Identification and Security (14 papers), Sentiment Analysis and Opinion Mining (14 papers), Handwritten Text Recognition Techniques (12 papers) and Image Retrieval and Classification Techniques (12 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (613 citations), Signal Processing (212 citations), Artificial Intelligence (664 citations), Information Systems (448 citations) and Health Informatics (41 citations). Authors at Thakur College of Engineering and Technology collaborate with scholars in India, Japan and Saudi Arabia and have published in prestigious journals including Indian Journal of Science and Technology, Journal of King Saud University - Computer and Information Sciences, Advances in Complex Systems, International Journal on Interactive Design and Manufacturing (IJIDeM) and Sadhana. Some of Thakur College of Engineering and Technology's most productive authors include Bhushankumar Nemade, Raghavendra R. Sedamkar, Kiran Kishor Maharana, Dhananjay Theckedath, Vinayak Ashok Bharadi, Nilay Yajnik, Mohammad Atique, S. Suman Rajest, Debabrata Datta and Hemant B. Kekre.

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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