i10 Productivity
Rankings

Engineering & Technology / Biomedical Engineering i10 Productivity Rankings in Mongolia - 2025

Total 2,449,317 scientists, country 221, and institutions 24,477 are evaluated in the Productivity Rankings, an exclusive service provided by AD Scientific Index. This ranking measures and highlights the scientific productivity of researchers based on the i10 index (number of publications with at least 10 citations). This system identifies highly productive scientists across disciplines, institutions, and regions, contributing to the development of evidence-based academic policies and effective incentive mechanisms. The rankings include global, regional, and institutional analyses, along with specialized rankings such as Scientists' Last 6 Years' i10 Index and Universities' i10 Index Rankings 2025. With Premium Membership, you can:

  • Gain full access to detailed comparisons and advanced analytics,
  • Objectively evaluate your academic productivity,
  • Make strategic, data-driven decisions to enhance performance.

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Total 3 scientist
* Total i10 IndexRankings
Ranking Based On Selection: 1
Mongolia
Altangerel Amarjargal
nanocomposite materials
electrospun nanofibers
biomaterials
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
27
18
0.667
* Total i10 IndexRankings
Ranking Based On Selection: 3
Mongolia
Batbayar Unursaikhan
Biomedical Engineering
Computer Vision
Machine Learning
Robotics
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
1
1
1.000
* Total i10 Index Rankings
Rankings
Ranking Based On Selection: 1
Altangerel Amarjargal
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
27
18
0.667
nanocomposite materials
electrospun nanofibers
biomaterials
* Total i10 Index Rankings
Rankings
Ranking Based On Selection: 2
Munkhtulga Lkvasuren
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
9
5
0.556
* Total i10 Index Rankings
Rankings
Ranking Based On Selection: 3
Batbayar Unursaikhan
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
1
1
1.000
Biomedical Engineering
Computer Vision
Machine Learning
Robotics