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 Jan 28, 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 (873.688) 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: 451
Medical Biotechnology
Cancer Immunology
Immunology
Cancer Genetics
Metrics
H-Index
i10 Index
Citation Counts
1
0
1
* Total H IndexRankings
Ranking Based On Selection: 452
law and Shariah
Metrics
H-Index
i10 Index
Citation Counts
1
0
1
* Total H IndexRankings
Ranking Based On Selection: 453
environment
climate change
energy
co2 emissions
Metrics
H-Index
i10 Index
Citation Counts
1
0
2
* Total H IndexRankings
Ranking Based On Selection: 454
Islamic Studies
Hadith
Metrics
H-Index
i10 Index
Citation Counts
0
0
0
* Total H IndexRankings
Ranking Based On Selection: 455
Fluid mechanic
Newtonian and non Newtonian fluid
Artificial Neural Networks
Machine learning
Metrics
H-Index
i10 Index
Citation Counts
0
0
0
Saad Ahmed
Metrics
H-Index
i10-Index
Citation Counts
1
0
1
Medical Biotechnology
Cancer Immunology
Immunology
Cancer Genetics
Syeda Farah Yasin
Metrics
H-Index
i10-Index
Citation Counts
1
0
1
Maria Siddique
Metrics
H-Index
i10-Index
Citation Counts
1
0
2
environment
climate change
energy
co2 emissions
Ahmad Abdullah Saqib
Metrics
H-Index
i10-Index
Citation Counts
0
0
0
Majid Hussain Shah
Metrics
H-Index
i10-Index
Citation Counts
0
0
0
Fluid mechanic
Newtonian and non Newtonian fluid
Artificial Neural Networks
Machine learning