i10 Productivity
Rankings

University of Eswatini 2 Scientists Engineering & Technology / Environmental Science & Engineering i10 Productivity Rankings (Sort by last 6 years i10 Index) - 2025

Total 2,395,742 scientists, country 221, and institutions 24,456 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.

* Last 6 Years i10 IndexRankings
Ranking Based On Selection: 1
Esvatini
Thabile Ndlovu
photocatalysis
electrochemistry
natural products
environmental pollution
climate change
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
14
13
0.929
* Last 6 Years i10 IndexRankings
Ranking Based On Selection: 2
Esvatini
Wisdom Md Dlamini|Wisdom M. Dlamini
Environmental Science
Remote Sensing
Ecology
Bayesian networks
Spatial modelling
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
13
7
0.538
* Last 6 Years i10 Index Rankings
Rankings
Ranking Based On Selection: 1
Thabile Ndlovu
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
14
13
0.929
photocatalysis
electrochemistry
natural products
environmental pollution
climate change
* Last 6 Years i10 Index Rankings
Rankings
Ranking Based On Selection: 2
Wisdom Md Dlamini|Wisdom M. Dlamini
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
13
7
0.538
Environmental Science
Remote Sensing
Ecology
Bayesian networks
Spatial modelling