Indian Institute of Information Technology Sri City · 1×
×241k/57NEURO
×1.22k/1kCVPR
×5.61k/195RNMI
×3.9186/48HIM
×0.71k/2kAI
Citations per year
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Countries citing scholars working at Sahyadri College of Engineering & Management
Since Specialization
Citations
This map shows the geographic impact of research produced by authors working at Sahyadri College of Engineering & Management. 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 Sahyadri College of Engineering & Management with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sahyadri College of Engineering & Management more than expected).
Fields of papers published by authors at Sahyadri College of Engineering & Management
This network shows the impact of papers affiliated with Sahyadri College of Engineering & Management 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 Sahyadri College of Engineering & Management at the time of their publication.
About Sahyadri College of Engineering & Management
In recent decades, authors affiliated with Sahyadri College of Engineering & Management have published 376 papers, which have received a total of 5.7k indexed citations . Scholars at this organization have produced 52 papers in Computer Vision and Pattern Recognition, 18 papers in Neurology, 3 papers in Health Informatics, 9 papers in Health Information Management and 5 papers in Metals and Alloys on the topics of Biodiesel Production and Applications (18 papers), Brain Tumor Detection and Classification (17 papers), Smart Agriculture and AI (15 papers), IoT and Edge/Fog Computing (12 papers), Advanced Combustion Engine Technologies (11 papers), Retinal Imaging and Analysis (10 papers), Heat Transfer and Optimization (10 papers) and AI in cancer detection (9 papers). Their work is cited by papers focused on Neurology (1.3k citations), Computer Vision and Pattern Recognition (1.8k citations), Radiology, Nuclear Medicine and Imaging (1.1k citations), Health Information Management (186 citations) and Artificial Intelligence (1.3k citations). Authors at Sahyadri College of Engineering & Management collaborate with scholars in India, Saudi Arabia and United States and have published in prestigious journals including Pattern Recognition Letters, Future Generation Computer Systems, Scientific Reports, Sustainability and Journal of Computational Science. Some of Sahyadri College of Engineering & Management's most productive authors include Steven Lawrence Fernandes, Mussarat Yasmin, Venkatesan Rajinikanth, Javaria Amin, Suresh Chandra Satapathy, Muhammad Imran Sharif, Muhammad Sharif, Muhammad Attique Khan, Seifedine Kadry and Jamal Hussain Shah.
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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