The AD Scientific Index (Alper-Doger Scientific Index) provides the most comprehensive analysis across 13 main fields and 197 sub-branches at global, national, and regional levels. These analyses are based on indicators such as the H-index, i10-index, and citation count, including their values from the last 6 years. As of Feb 04, 2025, the rankings are determined according to the Total H Index. BETA VERSION: The subject field rankings for the world, regions, countries, and universities are currently in their Beta phase. This is due to the exclusion of (870.057) scientists categorized under ‘Others’, whose profiles have yet to be determined, edited, or classified. As updates are made to these fields, the rankings will be adjusted accordingly. Note: Please keep this in mind while reviewing the rankings. For further details, explore our [University Subject Rankings].
* Total H IndexRankings
Ranking Based On Selection: 26
Uncertainty quantification
Dynamical systems
Bayesian inference
Metrics
H-Index
i10 Index
Citation Counts
4
4
145
* Total H IndexRankings
Ranking Based On Selection: 27
Aerodynamics
Design Optimization
Machine Learning
Graph Neural Networks
Metrics
H-Index
i10 Index
Citation Counts
4
2
201
* Total H IndexRankings
Ranking Based On Selection: 28
Metrics
H-Index
i10 Index
Citation Counts
4
3
138
* Total H IndexRankings
Ranking Based On Selection: 29
Model predictive control
Linear parameter-varying control
Neural networks
Design & manufacturing
Metrics
H-Index
i10 Index
Citation Counts
3
1
42
* Total H IndexRankings
Ranking Based On Selection: 30
Multidisciplinary Design Optimization
Aircraft Design
eVTOL
UAV Design
Metrics
H-Index
i10 Index
Citation Counts
3
1
27
* Total H IndexRankings
Ranking Based On Selection: 31
Metrics
H-Index
i10 Index
Citation Counts
2
1
90
* Total H IndexRankings
Ranking Based On Selection: 32
Aerospace Engineering
Multifidelity Data Fusion
Gaussian Process
Machine Learning
Metrics
H-Index
i10 Index
Citation Counts
2
1
61
* Total H IndexRankings
Ranking Based On Selection: 33
Multidisciplinary design optimization
Metrics
H-Index
i10 Index
Citation Counts
2
1
31
* Total H IndexRankings
Ranking Based On Selection: 34
Aerospace Engineering
Bioinspiration
Structures
Metrics
H-Index
i10 Index
Citation Counts
2
0
14
* Total H IndexRankings
Ranking Based On Selection: 35
Aeronautical engineering
Mechanical Engineering
MBA
Metrics
H-Index
i10 Index
Citation Counts
2
0
12
* Total H IndexRankings
Ranking Based On Selection: 36
Control and Optimization
Deep learning
Gen AI
Metrics
H-Index
i10 Index
Citation Counts
2
0
11
* Total H IndexRankings
Ranking Based On Selection: 37
Controls
Robotics
Metrics
H-Index
i10 Index
Citation Counts
2
0
10
* Total H IndexRankings
Ranking Based On Selection: 38
Aerospace Engineering
Combustion
Turbulence
Thermoacoustic Instability
Hydrodynamic instability
Metrics
H-Index
i10 Index
Citation Counts
2
0
9
* Total H IndexRankings
Ranking Based On Selection: 39
Metrics
H-Index
i10 Index
Citation Counts
1
1
54
* Total H IndexRankings
Ranking Based On Selection: 40
Aerospace
Space Electric Propulsion
Spacecraft Systems
Metrics
H-Index
i10 Index
Citation Counts
1
0
9
* Total H IndexRankings
Ranking Based On Selection: 41
Metrics
H-Index
i10 Index
Citation Counts
1
0
4
Nicholas Galioto
University of Michigan
Ann Arbor, United States
Metrics
H-Index
i10-Index
Citation Counts
4
4
145
Uncertainty quantification
Dynamical systems
Bayesian inference
Yin Yu
University of Michigan
Ann Arbor, United States
Metrics
H-Index
i10-Index
Citation Counts
4
2
201
Aerodynamics
Design Optimization
Machine Learning
Graph Neural Networks
Emily M Gargulinski
University of Michigan
Ann Arbor, United States
Metrics
H-Index
i10-Index
Citation Counts
4
3
138
Jiadi Zhang
University of Michigan
Ann Arbor, United States
Metrics
H-Index
i10-Index
Citation Counts
3
1
42
Model predictive control
Linear parameter-varying control
Neural networks
Design & manufacturing
Shugo Kaneko
University of Michigan
Ann Arbor, United States
Metrics
H-Index
i10-Index
Citation Counts
3
1
27
Multidisciplinary Design Optimization
Aircraft Design
eVTOL
UAV Design
Yuchen Bai
University of Michigan
Ann Arbor, United States
Metrics
H-Index
i10-Index
Citation Counts
2
1
90
Kohei Harada
University of Michigan
Ann Arbor, United States
Metrics
H-Index
i10-Index
Citation Counts
2
1
61
Aerospace Engineering
Multifidelity Data Fusion
Gaussian Process
Machine Learning
Hannah Hajdik
University of Michigan
Ann Arbor, United States
Metrics
H-Index
i10-Index
Citation Counts
2
1
31
Multidisciplinary design optimization
Piper Sigrest
University of Michigan
Ann Arbor, United States
Metrics
H-Index
i10-Index
Citation Counts
2
0
14
Aerospace Engineering
Bioinspiration
Structures
Jahnavi Madireddy
University of Michigan
Ann Arbor, United States
Metrics
H-Index
i10-Index
Citation Counts
2
0
12
Aeronautical engineering
Mechanical Engineering
MBA
Hejun Huang
University of Michigan
Ann Arbor, United States
Metrics
H-Index
i10-Index
Citation Counts
2
0
11
Control and Optimization
Deep learning
Gen AI
Ting-Wei Hsu
University of Michigan
Ann Arbor, United States
Metrics
H-Index
i10-Index
Citation Counts
2
0
10
D Abhinav
University of Michigan
Ann Arbor, United States
Metrics
H-Index
i10-Index
Citation Counts
2
0
9
Aerospace Engineering
Combustion
Turbulence
Thermoacoustic Instability
Hydrodynamic instability
Amal S Sebastian
University of Michigan
Ann Arbor, United States
Metrics
H-Index
i10-Index
Citation Counts
1
1
54
Yethinder Ragav Lakshmi Kumar|Yethinder Ragav L
University of Michigan
Ann Arbor, United States
Metrics
H-Index
i10-Index
Citation Counts
1
0
9
Aerospace
Space Electric Propulsion
Spacecraft Systems
Derek Lukacs
University of Michigan
Ann Arbor, United States
Metrics
H-Index
i10-Index
Citation Counts
1
0
4