i10 Productivity
Rankings

Czech Technical University in Prague ScientistsNatural Sciences / Biological Science i10 Productivity Rankings 2024

Productivity Rankings is a unique service offered only by “AD Scientific Index”. This is a ranking system derived from the i10 index in order to show the productivity of the scientist in publishing scientific articles of value. Productivity Rankings is an instrument that lists productive scientists in a given area, discipline, university, and country and can guide the development of meaningful incentives and academic policies. The world rankings, regional rankings, and university rankings of scientists in this table are developed based on the total i10 index. Click for "last 6 years' i10 index"Also see: Universities Rankings 2024 (Sort by : Total i10 Index)  and Universities Rankings 2024 (Sort by : Last 6 Years i10 Index)

i10 Productivity Rankings
University / Institution:
# 127
Country:
# 1,670
Region:
# 180,310
World:
# 493,783
i10 Index
Total:
27
Last 6 Year:
25
Last 6 Year/Total:
0.926
H-Index
Total:
18
Last 6 Year:
17
Last 6 Year/Total:
0.944
Citation
Total:
999
Last 6 Year:
862
Last 6 Year/Total:
0.863
evolutionary algorithms
data-driven modeling
symbolic regression
multi-objective optimization
i10 Productivity Rankings
University / Institution:
# 144
Country:
# 1,841
Region:
# 194,269
World:
# 533,614
i10 Index
Total:
25
Last 6 Year:
16
Last 6 Year/Total:
0.640
H-Index
Total:
16
Last 6 Year:
12
Last 6 Year/Total:
0.750
Citation
Total:
761
Last 6 Year:
377
Last 6 Year/Total:
0.495
AD Scientific Index - World Scientists i10 Productivity Rankings - 2024 i10 INDEX H INDEX CITATION
University Country Region World Name Country University / Institution Subject Total Last 6 Year Last 6 year/total Total Last 6 year Last 6 year/total Total Last 6 year Last 6 year/total
127 1,670 180,310 493,783
Czech Republic Czech Technical University in Prague Czech Technical University in Prague Natural Sciences / Biological Science

econophysics | statistical physics | complex systems |

27 25 0.926 18 17 0.944 999 862 0.863
144 1,841 194,269 533,614
Czech Republic Czech Technical University in Prague Czech Technical University in Prague Natural Sciences / Biological Science

evolutionary algorithms | data-driven modeling | symbolic regression | multi-objective optimization |

25 16 0.640 16 12 0.750 761 377 0.495