i10 Productivity
Rankings

Federal Polytechnic Nasarawa ScientistsEngineering & Technology / Computer 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:
# 4
Country:
# 8,809
Region:
# 43,479
World:
# 1,278,845
i10 Index
Total:
3
Last 6 Year:
3
Last 6 Year/Total:
1.000
H-Index
Total:
6
Last 6 Year:
5
Last 6 Year/Total:
0.833
Citation
Total:
166
Last 6 Year:
164
Last 6 Year/Total:
0.988
i10 Productivity Rankings
University / Institution:
# 8
Country:
# 10,173
Region:
# 49,527
World:
# 1,382,571
i10 Index
Total:
2
Last 6 Year:
2
Last 6 Year/Total:
1.000
H-Index
Total:
6
Last 6 Year:
6
Last 6 Year/Total:
1.000
Citation
Total:
157
Last 6 Year:
155
Last 6 Year/Total:
0.987
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
4 8,809 43,479 1,278,845
Nigeria Nigeria Federal Polytechnic Nasarawa Federal Polytechnic Nasarawa Engineering & Technology / Computer Science

Computer Science |

3 3 1.000 6 5 0.833 166 164 0.988
8 10,173 49,527 1,382,571
Nigeria Nigeria Federal Polytechnic Nasarawa Federal Polytechnic Nasarawa Engineering & Technology / Computer Science

machine learning | deep learning | Network intrusions |

2 2 1.000 6 6 1.000 157 155 0.987