i10 Productivity
Rankings

Arid Forest Research Institute/ Scientists i10 Productivity Rankings 2025

Productivity Rankings is an exclusive service provided by AD Scientific Index. This ranking system, derived from the i10 index, highlights the productivity of scientists in publishing impactful scientific articles. Productivity Rankings serves as a tool to identify highly productive scientists across specific areas, disciplines, universities, and countries, and supports the creation of effective incentives and academic policies. The global, regional, and institutional rankings of scientists in this table are calculated based on their total i10 index. Moreover, you can explore special rankings derived from Productivity Rankings, such as Scientists Last 6 Years' i10 Index, Universities Total i10 Index Rankings 2025, Universities Last 6 Years' i10 Index Rankings 2025, Art and Humanities i10 Productivity Rankings, and Social Sciences and Humanities i10 Productivity Rankings.

* Total i10 IndexRankings
Ranking Based On Selection :1
India
Sarita Arya
Plant Tissue Culture
Biotechnology
Genetics
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
23
13
0.565
* Total i10 IndexRankings
Ranking Based On Selection :2
India
Dhruv Misha
Forestry
seed science
bioenergy
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
19
7
0.368
* Total i10 IndexRankings
Ranking Based On Selection :3
India
Bilas Singh
water and nutrient management
growth and modelling of tree
agroforetry
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
16
9
0.563
* Total i10 Index Rankings
Rankings
Ranking Based On Selection: 1
Sarita Arya
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
23
13
0.565
Plant Tissue Culture
Biotechnology
Genetics
* Total i10 Index Rankings
Rankings
Ranking Based On Selection: 2
Dhruv Misha
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
19
7
0.368
* Total i10 Index Rankings
Rankings
Ranking Based On Selection: 3
Bilas Singh
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
16
9
0.563
water and nutrient management
growth and modelling of tree
agroforetry