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Prabira Kumar Sethy
ResearcherPublications, citations & collaboration network
Prabira Kumar Sethy is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 189 works, 4,088 citations, an h-index of 30 and an i10-index of 52.
189
Works
4,088
Citations
30
h-index
52
i10-index
How has Prabira Kumar Sethy's publication output changed over time?
ScholarIQpublication output · 2020–2021
Output declined57% over the shown period — from 7 works in 2020 to 3 in 2021.
7
3
20202021
What are the most-cited papers on Prabira Kumar Sethy?
ScholarIQmost cited works
Detection of Coronavirus Disease (COVID-19) Based on Deep Features
Prabira Kumar Sethy, Santi Kumari Behera
Preprints.org. 2020754 CitationsOPEN ACCESS
Deep feature based rice leaf disease identification using support vector machine
Prabira Kumar Sethy, Nalini Kanta Barpanda, Amiya Kumar Rath, Santi Kumari Behera
Computers and Electronics in Agriculture. 2020587 Citations
Detection of coronavirus Disease (COVID-19) based on Deep Features and Support Vector Machine
Prabira Kumar Sethy, Santi Kumari Behera, Pradyumna Kumar Ratha, Preesat Biswas
International Journal of Mathematical Engineering and Management Sciences. 2020373 CitationsOPEN ACCESS
Maturity status classification of papaya fruits based on machine learning and transfer learning approach
Santi Kumari Behera, Amiya Kumar Rath, Prabira Kumar Sethy
Information Processing in Agriculture. 2020197 CitationsOPEN ACCESS
Image Processing Techniques for Diagnosing Rice Plant Disease: A Survey
Prabira Kumar Sethy, Nalini Kanta Barpanda, Amiya Kumar Rath, Santi Kumari Behera
Procedia Computer Science. 2020161 CitationsOPEN ACCESS
Related on ScholarIQ
Sambalpur University
Institution
Detection of Coronavirus Disease (COVID-19) Based on Deep Features
Paper
Deep feature based rice leaf disease identification using support vector machine
Paper
Detection of coronavirus Disease (COVID-19) based on Deep Features and Support Vector Machine
Paper
Maturity status classification of papaya fruits based on machine learning and transfer learning approach
Paper
Image Processing Techniques for Diagnosing Rice Plant Disease: A Survey
Paper