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Nalini Kanta Barpanda

ResearcherPublications, citations & collaboration network

Nalini Kanta Barpanda is a researcher indexed in PICO Portal from OpenAlex & ORCID.

How many works does Nalini Kanta Barpanda have?

PICO Portalindexed works

Nalini Kanta Barpanda has 51 works in the PICO Portal index. The count is the OpenAlex total, not the number of papers listed on this page.

How many citations does Nalini Kanta Barpanda have?

PICO Portalcitation count

Nalini Kanta Barpanda has 1,133 citations in the OpenAlex counts PICO Portal stores.

What is the h-index of Nalini Kanta Barpanda?

PICO Portalh-index

Nalini Kanta Barpanda has an h-index of 10 in OpenAlex.

What is the i10-index of Nalini Kanta Barpanda?

PICO Portali10-index

Nalini Kanta Barpanda has an i10-index of 10 in OpenAlex.

What is the ORCID of Nalini Kanta Barpanda?

PICO Portalorcid

The ORCID for Nalini Kanta Barpanda is on the source record.

What is the OpenAlex record for Nalini Kanta Barpanda?

PICO Portalopenalex

The OpenAlex for Nalini Kanta Barpanda is on the source record.

What are the most-cited papers on Nalini Kanta Barpanda?

PICO Portalmost cited works
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
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
Nitrogen Deficiency Prediction of Rice Crop Based on Convolutional Neural Network
Prabira Kumar Sethy, Nalini Kanta Barpanda, Amiya Kumar Rath, Santi Kumari Behera
Journal of Ambient Intelligence and Humanized Computing. 2020126 Citations
Network reliability optimization problem of interconnection network under node-edge failure model
Ranjan Kumar Dash, Nalini Kanta Barpanda, Pradyumna Kumar Tripathy, C. R. Tripathy
Applied Soft Computing. 201241 Citations
Measurement of Disease Severity of Rice Crop Using Machine Learning and Computational Intelligence
Prabira Kumar Sethy, Baishalee Negi, Nalini Kanta Barpanda, Santi Kumari Behera, Amiya Kumar Rath
SpringerBriefs in applied sciences and technology. 201741 Citations

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