Productivity Rankings is a unique service offered only by “AD Scientific Index”. This is a ranking system derived from the i10 index in order to show the productivity of the scientist in publishing scientific articles of value. Productivity Rankings is an instrument that lists productive scientists in a given area, discipline, university, and country and can guide the development of meaningful incentives and academic policies. The world rankings, regional rankings, and university rankings of scientists in this table are developed based on the total i10 index. Click for "last 6 years' i10 index". Also see: Universities Rankings 2024 (Sort by : Total i10 Index) and Universities Rankings 2024 (Sort by : Last 6 Years i10 Index)
![Andre Kundgen](/user/assets/images/profile/no-profile-photo.png)
Discrete Mathematics
particularly Graph Theory
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
16
7
0.438
![Anthony Matranga](/user/assets/images/profile/no-profile-photo.png)
mathematics teacher professional development
online collaborative learning
social networks
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
2
2
1.000
![Sixian Jin](/user/assets/images/profile/no-profile-photo.png)
Stochastic Processes
Stochastic Analysis
Math Finance
Stochastic Control Problems
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
2
1
0.500
Andre Kundgen
California State University San Marcos
San Marcos, United States
![United States](/flags/us.png)
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
16
7
0.438
Discrete Mathematics
particularly Graph Theory
Anthony Matranga
California State University San Marcos
San Marcos, United States
![United States](/flags/us.png)
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
2
2
1.000
mathematics teacher professional development
online collaborative learning
social networks
Sixian Jin
California State University San Marcos
San Marcos, United States
![United States](/flags/us.png)
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
2
1
0.500
Stochastic Processes
Stochastic Analysis
Math Finance
Stochastic Control Problems