Don Bosco Institute of Technology

338 papers receiving 2.7k citations

Peers

Don Bosco Institute of Technology
Comparison fields: 5 of 149
  • Renewable Energy, Sustainability and the Environment 296
  • Media Technology 122
  • Health Informatics 29
  • Computer Vision and Pattern Recognition 276
  • Health Information Management 87
Replace JSPM's Rajarshi Shahu College of Engineering with:
JSPM's Rajarshi Shahu College of Engineering India
Army Institute of Technology, Pune India
MIT Academy of Engineering
Indus University India
Vishwakarma University
Thakur College of Engineering and Technology India
All India Shri Shivaji Memorial Society College of Engineering India
Vignana Bharathi Institute of Technology India
International Institute of Information Technology India
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Don Bosco Institute of Technology relative to JSPM's Rajarshi Shahu College of Engineering India JSPM's Rajarshi Shahu College of Engineering's profile →
Citations per field
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JSPM's Rajarshi Shahu College of Engineering · 1×
Citations per year

Countries citing scholars working at Don Bosco Institute of Technology

Since Specialization
Citations

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

Fields of papers published by authors at Don Bosco Institute of Technology

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

About Don Bosco Institute of Technology

In recent decades, authors affiliated with Don Bosco Institute of Technology have published 405 papers, which have received a total of 2.7k indexed citations . Scholars at this organization have produced 43 papers in Computer Vision and Pattern Recognition, 16 papers in Media Technology, 44 papers in Information Systems, 14 papers in Health Information Management and 47 papers in Artificial Intelligence on the topics of Advanced Photocatalysis Techniques (17 papers), AI in cancer detection (13 papers), Smart Agriculture and AI (12 papers), Artificial Intelligence in Healthcare (11 papers), Advanced Image Fusion Techniques (10 papers), Low-power high-performance VLSI design (9 papers), Arduino and IoT Applications (8 papers) and IoT and GPS-based Vehicle Safety Systems (8 papers). Their work is cited by papers focused on Renewable Energy, Sustainability and the Environment (296 citations), Media Technology (122 citations), Health Informatics (29 citations), Computer Vision and Pattern Recognition (276 citations) and Health Information Management (87 citations). Authors at Don Bosco Institute of Technology collaborate with scholars in India, Australia and Saudi Arabia and have published in prestigious journals including Australasian Journal of Paramedicine, Journal of Nanoscience and Nanotechnology, Journal of King Saud University - Science, Journal of Materials Science Materials in Electronics and Biomedical Signal Processing and Control. Some of Don Bosco Institute of Technology's most productive authors include Amiya Kumar Tripathy, Satishkumar Chavan, Leisa Armstrong, Sanjay Nilkanth Talbar, Syed Farooq Adil, Niketa Gandhi, Mohammad Rafe Hatshan, Rohin D. Daruwala, Mujeeb Khan and Abhishek Mahajan.

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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