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 11, 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 (887.258) 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
Super-resolution
Medical imaging
Image processing
Remote sensing
Metrics
H-Index
i10 Index
Citation Counts
12
13
533
* Total H IndexRankings
Ranking Based On Selection
:2
LIBS CRDS XPS XRF
Machine Learning
Metrics
H-Index
i10 Index
Citation Counts
9
9
532
* Total H IndexRankings
Ranking Based On Selection
:3
mass spectrometry
vibrational spectroscopy
atmospheric new particle formation
physical chemistry
Metrics
H-Index
i10 Index
Citation Counts
9
9
251
* Total H IndexRankings
Ranking Based On Selection
:4
Wave theory
propagation and scattering
Inverse problems
Applied mathematics
Metrics
H-Index
i10 Index
Citation Counts
6
6
270
* Total H IndexRankings
Ranking Based On Selection
:5
Machine learning
dimensional metrology
physics
algorithms.
Metrics
H-Index
i10 Index
Citation Counts
2
2
52
Asaf Ilovitsh
Metrics
H-Index
i10-Index
Citation Counts
12
13
533
Super-resolution
Medical imaging
Image processing
Remote sensing
Ebo Ewusi-Annan
Metrics
H-Index
i10-Index
Citation Counts
9
9
532
LIBS CRDS XPS XRF
Machine Learning
mass spectrometry
vibrational spectroscopy
atmospheric new particle formation
physical chemistry
Wave theory
propagation and scattering
Inverse problems
Applied mathematics
Machine learning
dimensional metrology
physics
algorithms.