Citation Rankings
Highly Cited Researchers

Yemen Highly Cited Researchers CitationEngineering & Technology / Petroleum Engineering in Yemen Rankings 2025

Citation Rankings (Highly Cited Researchers) and the list of the most cited and influential researchers cover a wide range of scientific fields, spanning 197 main and sub-disciplines, as well as the Art and Humanities Citation Rankings and Social Sciences and Humanities Citation Rankings, offering a unique service. Additionally, the list without CERN, Statistical Data, etc., provided exclusively by “AD Scientific Index”, is part of our effort to balance the situation created by CERN and researchers with statistical data, who have an advantage over others, especially those in the social and humanities fields. There should be new regulations for multi-author and CERN papers. Citation lists also reveal many rule violations and unethical practices. See also for more specific citation analyses: Scientists Last 6 years Citation IndexUniversities Total Citations Rankings 2025 and Universities Last 6 Years Citations Rankings 2025

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Total 6 scientist
* Total Citation Counts Rankings
Ranking Based On Selection :1
Yemen
Mohammed Hail Hakimi
Petroleum system analysis
Basin Modeling
Petroleum Geochemistry
Petroleum Reservoir Rocks
Coal
Citation Metrics
Total
Last 6 Years
Last 6 Years / Total
4,218
3,086
0.732
* Total Citation Counts Rankings
Ranking Based On Selection :2
Yemen
Khaled Khanbari
Structural Geology and Tectonics
Remote Sensing and GIS
Environmental Geology
Citation Metrics
Total
Last 6 Years
Last 6 Years / Total
1,229
544
0.443
* Total Citation Counts Rankings
Ranking Based On Selection :3
Yemen
Amer Badr Binmerdhah
Petroleum Engineering
Formation damage
Citation Metrics
Total
Last 6 Years
Last 6 Years / Total
593
332
0.560
* Total Citation Counts Rankings
Ranking Based On Selection :4
Yemen
Mazen Ahmed Muherei
Drilling fluids
Non-Newtonian Fluid Rheology
Drilling Hydraulics
Surfactant Adsorption
Drilling Waste
Citation Metrics
Total
Last 6 Years
Last 6 Years / Total
374
210
0.561
* Total Citation Counts Rankings
Ranking Based On Selection :5
Yemen
Salem Obaid Baarimah
Petroleum Engineering
Citation Metrics
Total
Last 6 Years
Last 6 Years / Total
178
169
0.949
* Total Citation Counts Rankings
Ranking Based On Selection :6
Yemen
Abbas Mohamed Al-Khudafi
Properties of Reservoir Fluids
Rocks and reservoir characterization
Well testing
Surface production operation
Artificial intelligence and machine learning in petroleum engineering
Citation Metrics
Total
Last 6 Years
Last 6 Years / Total
36
34
0.944
* Total Citation Counts Rankings
Rankings
234,143
Yemen
8
2
Ranking Based On Selection: 1
Mohammed Hail Hakimi
Citation Metrics
Total
Last 6 Years
Last 6 Years / Total
4,218
3,086
0.732
Petroleum system analysis
Basin Modeling
Petroleum Geochemistry
Petroleum Reservoir Rocks
Coal
* Total Citation Counts Rankings
Rankings
592,932
Yemen
36
13
Ranking Based On Selection: 2
Khaled Khanbari
Citation Metrics
Total
Last 6 Years
Last 6 Years / Total
1,229
544
0.443
Structural Geology and Tectonics
Remote Sensing and GIS
Environmental Geology
* Total Citation Counts Rankings
Rankings
847,799
Yemen
92
3
Ranking Based On Selection: 3
Amer Badr Binmerdhah
Citation Metrics
Total
Last 6 Years
Last 6 Years / Total
593
332
0.560
* Total Citation Counts Rankings
Rankings
1,017,997
Yemen
146
6
Ranking Based On Selection: 4
Mazen Ahmed Muherei
Citation Metrics
Total
Last 6 Years
Last 6 Years / Total
374
210
0.561
Drilling fluids
Non-Newtonian Fluid Rheology
Drilling Hydraulics
Surfactant Adsorption
Drilling Waste
* Total Citation Counts Rankings
Rankings
1,320,255
Yemen
305
20
Ranking Based On Selection: 5
Salem Obaid Baarimah
Citation Metrics
Total
Last 6 Years
Last 6 Years / Total
178
169
0.949
* Total Citation Counts Rankings
Rankings
1,906,218
Yemen
693
49
Ranking Based On Selection: 6
Abbas Mohamed Al-Khudafi
Citation Metrics
Total
Last 6 Years
Last 6 Years / Total
36
34
0.944
Properties of Reservoir Fluids
Rocks and reservoir characterization
Well testing
Surface production operation
Artificial intelligence and machine learning in petroleum engineering