P.E.S. College of Engineering, Mandya
Impact in
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- Advanced machining processes and optimization
- Tribology and Lubrication Engineering
- Aluminum Alloys Composites Properties
Papers in
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- Handwritten Text Recognition Techniques 18
- Video Surveillance and Tracking Methods 12
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- Aluminum Alloys Composites Properties 23
- Advanced machining processes and optimization 20
- Tribology and Lubrication Engineering 12
- Top scholars
- H.V. RavindraSatish C. SharmaG. UgrasenSatish Chandra JainH. S. SheshadriY.G. SrinivasaR. KrishnamurthySharanappa Godiganur
- Journals
- Radiation Protection Dosimetry (5 papers)Tribology Transactions (4 papers)International Journal of Computational Intelligence Systems (4 papers)Energy Sources Part A Recovery Utilization and Environmental Effects (4 papers)Tribology International (4 papers)
- Partner nations
- IndiaYemenUnited States
In The Last Decade
P.E.S. College of Engineering, Mandya
417 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 150
- Mechanical Engineering 923
- Speech and Hearing 69
- Computer Vision and Pattern Recognition 269
- Electrical and Electronic Engineering 498
- Health Information Management 77
Countries citing scholars working at P.E.S. College of Engineering, Mandya
This map shows the geographic impact of research produced by authors working at P.E.S. College of Engineering, Mandya. 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 P.E.S. College of Engineering, Mandya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P.E.S. College of Engineering, Mandya more than expected).
Fields of papers published by authors at P.E.S. College of Engineering, Mandya
This network shows the impact of papers affiliated with P.E.S. College of Engineering, Mandya 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 P.E.S. College of Engineering, Mandya at the time of their publication.
About P.E.S. College of Engineering, Mandya
In recent decades, authors affiliated with P.E.S. College of Engineering, Mandya have published 473 papers, which have received a total of 3.6k indexed citations . Scholars at this organization have produced 65 papers in Computer Vision and Pattern Recognition, 84 papers in Mechanical Engineering, 6 papers in Radiological and Ultrasound Technology, 11 papers in Health Information Management and 69 papers in Electrical and Electronic Engineering on the topics of Advanced Machining and Optimization Techniques (24 papers), Aluminum Alloys Composites Properties (23 papers), Advanced machining processes and optimization (20 papers), Handwritten Text Recognition Techniques (18 papers), Smart Agriculture and AI (16 papers), Video Surveillance and Tracking Methods (12 papers), Tribology and Lubrication Engineering (12 papers) and Nanoparticles: synthesis and applications (11 papers). Their work is cited by papers focused on Mechanical Engineering (923 citations), Speech and Hearing (69 citations), Computer Vision and Pattern Recognition (269 citations), Electrical and Electronic Engineering (498 citations) and Health Information Management (77 citations). Authors at P.E.S. College of Engineering, Mandya collaborate with scholars in India, Yemen and United States and have published in prestigious journals including Radiation Protection Dosimetry, Tribology Transactions, International Journal of Computational Intelligence Systems, Energy Sources Part A Recovery Utilization and Environmental Effects and Tribology International. Some of P.E.S. College of Engineering, Mandya's most productive authors include H.V. Ravindra, Satish C. Sharma, G. Ugrasen, Satish Chandra Jain, H. S. Sheshadri, Y.G. Srinivasa, R. Krishnamurthy, Sharanappa Godiganur, H. V. Srikanth and R. Keshavamurthy.
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.