Total 2,392,995 scientists, country 221, and institutions 24,455 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.
* Total i10 IndexRankings
Ranking Based On Selection: 1
Multidisciplinary Materials Science
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
253
208
0.822
* Total i10 IndexRankings
Ranking Based On Selection: 2
Advanced Materials
Ceramic Materials
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
179
114
0.637
* Total i10 IndexRankings
Ranking Based On Selection: 3
Materials Science & Engineering
Additive Manufacturing
Welding and Joining
Physical Metallurgy
Brazing and Soldering
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
169
125
0.740
* Total i10 IndexRankings
Ranking Based On Selection: 4
Welding
Physical Metallurgy
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
109
89
0.817
* Total i10 IndexRankings
Ranking Based On Selection: 5
Energy materials & Hydrogen energy and SOFC
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
32
16
0.500
* Total i10 IndexRankings
Ranking Based On Selection: 6
Glasses and Glass-ceramics
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
22
14
0.636
* Total i10 IndexRankings
Ranking Based On Selection: 7
Computational Materials Science
Electronic Properties of Materials
Modeling & Simulation
Density Functional Theory
Molecular
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
15
11
0.733
* Total i10 IndexRankings
Ranking Based On Selection: 8
Biomaterial
Magnetic Nanoparticles
Quantum dots
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
1
1
1.000
* Total i10 IndexRankings
Ranking Based On Selection: 9
Materials Science and Engineering
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
1
1
1.000
* Total i10 IndexRankings
Ranking Based On Selection: 10
Multiscale modeling
Numerical methods
Materials science
Data driven predictive modeling
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
0
0
0
Abdolreza (Arash) Simchi|A. Simchi, Arash Simchi, AR Simchi
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
253
208
0.822
Multidisciplinary Materials Science
Ali Nemati
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
179
114
0.637
Advanced Materials
Ceramic Materials
Amir Hossein Kokabi
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
169
125
0.740
Materials Science & Engineering
Additive Manufacturing
Welding and Joining
Physical Metallurgy
Brazing and Soldering
Majid Pouranvari
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
109
89
0.817
Welding
Physical Metallurgy
Amir Maghsoudipour
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
32
16
0.500
Energy materials & Hydrogen energy and SOFC
Sara Banijamali
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
22
14
0.636
Glasses and Glass-ceramics
Mohammad Sadegh Shakeri
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
15
11
0.733
Computational Materials Science
Electronic Properties of Materials
Modeling & Simulation
Density Functional Theory
Molecular
Ava Minagar X
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
1
1
1.000
Biomaterial
Magnetic Nanoparticles
Quantum dots
Mehran Nezhadmansari
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
1
1
1.000
Materials Science and Engineering
Pedram Maleki
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
0
0
0
Multiscale modeling
Numerical methods
Materials science
Data driven predictive modeling