Welcome to AD Scientific Index. The international independent ranking organisation AD Scientific Index is more than an ordinary "Ranking". The "AD Scientific Index" analyses the academic work of scientists using the H-index, i10 index and number of citations, and provides results that can be used to evaluate the productivity and efficiency of individuals and institutions. In addition to ranking according to "total H-index" for individuals and institutions, you can also see the ranking and analyses according to "last 6 years H-index", "total i10 Productivity index", "last 6 years i10 Productivity index", "total citations" and "last 6 years citations" only in "AD Scientific Index". See also: Subject Rankings, University Subject Rankings and  Universities Rankings.   Click here for individual or institutional registration.

Total 2 scientist
Applied Probability
Stochastic Simulation
Stochastic Optimization
Total H Index Rankings
University / Institution:
# 3,799
Country:
# 349,053
Region:
# 389,883
World:
# 1,523,092
H-Index
Total:
4
Last 6 Year:
3
Last 6 Year/Total:
0.750
Applied probability
Robust Optimization
Simulation
Machine Learning
Total H Index Rankings
University / Institution:
# 4,278
Country:
# 382,324
Region:
# 427,237
World:
# 1,742,276
H-Index
Total:
2
Last 6 Year:
2
Last 6 Year/Total:
1.000
Total H Index AD Scientific Index - World Scientists Rankings - 2024 H INDEX
University /
Institution
Country Region World Name Country University / Institution Subject Total Last 6 year Last 6 year/total
3,799 349,053 389,883 1,523,092 United States United States Columbia University New York Columbia University New York Engineering & Technology / Industrial & Manufacturing Engineering

Applied Probability | Stochastic Simulation | Stochastic Optimization |

4 3 0.750
4,278 382,324 427,237 1,742,276 United States United States Columbia University New York Columbia University New York Engineering & Technology / Industrial & Manufacturing Engineering

Applied probability | Robust Optimization | Simulation | Machine Learning |

2 2 1.000