Welcome to AD Scientific Index. The international independent ranking organisation AD Scientific Index is more than an ordinary "Ranking". The "AD Scientific Index" analyses the academic work of scientists using the H-index, i10 index and number of citations, and provides results that can be used to evaluate the productivity and efficiency of individuals and institutions. In addition to ranking according to "total H-index" for individuals and institutions, you can also see the ranking and analyses according to "last 6 years H-index", "total i10 Productivity index", "last 6 years i10 Productivity index", "total citations" and "last 6 years citations" only in "AD Scientific Index". See also: Subject Rankings, University Subject Rankings and Universities Rankings. Click here for individual or institutional registration.
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Total H Index | AD Scientific Index - World Scientists Rankings - 2024 | H Index Metrics | ||||||||
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University Rank | Country Rank | Region Rank | World Rank | Name | Country | University / Institution |
Subject Research Areas |
Total | Last 6 year | Last 6 year/total |
1 | 2 | 24,640 | 154,122 |
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Engineering & Technology / Petroleum Engineering
Petroleum system analysis | Basin Modeling | Petroleum Geochemistry | Petroleum Reservoir Rocks | Coal | |
37 | 32 | 0.865 | |
12 | 32 | 98,170 | 494,160 |
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Engineering & Technology / Petroleum Engineering
Structural Geology and Tectonics | Remote Sensing and GIS | Environmental Geology | |
19 | 13 | 0.684 | |
4 | 78 | 169,657 | 792,442 |
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Engineering & Technology / Petroleum Engineering
Petroleum Engineering | Formation damage | |
12 | 10 | 0.833 | |
8 | 158 | 227,221 | 1,008,080 |
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Engineering & Technology / Petroleum Engineering
Drilling fluids | Non-Newtonian Fluid Rheology | Drilling Hydraulics | Surfactant Adsorption | Drilling Waste | |
8 | 8 | 1.000 | |
10 | 183 | 260,159 | 1,110,919 |
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Engineering & Technology / Petroleum Engineering
Petroleum Engineering | |
7 | 7 | 1.000 | |
34 | 408 | 448,118 | 1,669,474 |
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Engineering & Technology / Petroleum Engineering
Properties of Reservoir Fluids | Rocks and reservoir characterization | Well testing | Surface production operation | Artificial intelligence and machine learning in petroleum engineering | |
3 | 3 | 1.000 |