AD Scientific Index (Alper-Doger Scientific Index) offers the broadest spectrum of branches, providing analysis in 13 main fields and 197 sub-branches at global, national, and regional levels. These analyses can be based on indicators such as the H-index, i10-index, and citation count, as well as their values from the last 6 years. As of Nov 01, 2024, rankings are according to the Total H Index. BETA VERSION: The subject field rankings for the world, regions, countries, and universities are currently in beta. This is due to the exclusion of (901.368) scientists categorized under 'others,' whose profiles cannot yet be determined, edited, or classified. As these fields are updated, the rankings will adjust accordingly. Please keep this in mind. See Also: [University Subject Rankings]
* Total H IndexRankings
Ranking Based On Selection
:1
Bridge Engineering
Progressive Collapse
Bridge Robustness
FDEM
Metrics
H-Index
i10 Index
Citation Counts
9
8
196
* Total H IndexRankings
Ranking Based On Selection
:2
Water Resources
Hydrology
Climate
Probabilistic Forecasts
Statistical Methods
Metrics
H-Index
i10 Index
Citation Counts
5
3
103
* Total H IndexRankings
Ranking Based On Selection
:3
Artificial Intelligence
Civil Engineering
Natural Disasters
Hydrology
Climate Change
Metrics
H-Index
i10 Index
Citation Counts
4
3
74
* Total H IndexRankings
Ranking Based On Selection
:4
Flooding
Hydrology
Hydraulics
Machine and Deep Learning
Landslide Susceptibility
Metrics
H-Index
i10 Index
Citation Counts
2
2
40
Hongfan Wang
City University of New York
New York City, United States
Metrics
H-Index
i10-Index
Citation Counts
9
8
196
Bridge Engineering
Progressive Collapse
Bridge Robustness
FDEM
Arun Ravindranath
City University of New York
New York City, United States
Metrics
H-Index
i10-Index
Citation Counts
5
3
103
Water Resources
Hydrology
Climate
Probabilistic Forecasts
Statistical Methods
Candace Agonafir
City University of New York
New York City, United States
Metrics
H-Index
i10-Index
Citation Counts
4
3
74
Artificial Intelligence
Civil Engineering
Natural Disasters
Hydrology
Climate Change
Said A Mejia M
City University of New York
New York City, United States
Metrics
H-Index
i10-Index
Citation Counts
2
2
40
Flooding
Hydrology
Hydraulics
Machine and Deep Learning
Landslide Susceptibility