Universität fur Bodenkultur Wien is a
prestigious public university
established in 1872 in Austria. It is represented
by 376 scientists in the AD Scientific Index. The
university’s scientists are particularly concentrated in
Natural Sciences (80 scientists), Agriculture & Forestry (55 scientists), and Engineering & Technology (54 scientists).
* Total H Index Rankings
Ranking Based
On Selection: 1
R
statistical computing
biostatistics
cluster analysis
reproducible research
H-Index Metrics
Total
Last 6 Years
Last 6 Years / Total
68
44
0.647
* Total H Index Rankings
Ranking Based
On Selection: 2
Statistics
Machine Learning
Multivariate Statistics
H-Index Metrics
Total
Last 6 Years
Last 6 Years / Total
22
19
0.864
* Total H Index Rankings
Ranking Based
On Selection: 3
Mathematics
Number Theory
H-Index Metrics
Total
Last 6 Years
Last 6 Years / Total
17
7
0.412
* Total H Index Rankings
Ranking Based
On Selection: 4
numerical CFD models
sediment transport
larval dispersal
river restoration
H-Index Metrics
Total
Last 6 Years
Last 6 Years / Total
9
8
0.889
* Total H Index Rankings
Ranking Based
On Selection: 5
Statistics
H-Index Metrics
Total
Last 6 Years
Last 6 Years / Total
7
6
0.857
* Total H Index Rankings
Ranking Based
On Selection: 6
Statistics
R
Programming
Forestry
H-Index Metrics
Total
Last 6 Years
Last 6 Years / Total
3
0
0.000
Friedrich Leisch
H-Index Metrics
Total
Last 6 Years
Last 6 Years / Total
68
44
0.647
R
statistical computing
biostatistics
cluster analysis
reproducible research
Michael Melcher
H-Index Metrics
Total
Last 6 Years
Last 6 Years / Total
22
19
0.864
Statistics
Machine Learning
Multivariate Statistics
Klaus Scheicher
H-Index Metrics
Total
Last 6 Years
Last 6 Years / Total
17
7
0.412
Martin Glas
H-Index Metrics
Total
Last 6 Years
Last 6 Years / Total
9
8
0.889
numerical CFD models
sediment transport
larval dispersal
river restoration
Muhammad Atif
H-Index Metrics
Total
Last 6 Years
Last 6 Years / Total
7
6
0.857
Gerhard Nachtmann
H-Index Metrics
Total
Last 6 Years
Last 6 Years / Total
3
0
0.000
Statistics
R
Programming
Forestry