Top 100 Scientists

World Top 100 Scientists 2025

Top 100 scientists can be ranked globally or specific to the following regions including Africa, Asia, Europe, North America, Latin America, Oceania, Arab League, ASEAN, EECA, and BRICS based on total H-index scores without any breakdown by subject areas. Top 100 rankings in the world, in a continent, or a region include standardized subjects areas of Agriculture & Forestry, Arts, Design and Architecture, Business & Management, Economics & Econometrics, Education, Engineering & Technology, History, Philosophy, Theology, Law/Law and Legal Studies, Medical and Health Sciences, Natural Sciences, Social Sciences, Art and Humanities Rankings and Social Sciences and Humanities Rankings BETA VERSION. Subject field ranking in world, region, country and university is beta version since subject field "others" (873,690 scientists profile whose branch cannot be determined, not yet edited or determined) is excluded, so the ranking will change as the others fields are edited. Please note that. Subjects indicated as “ * others ” will not be included in the ranking by regions and subjects.

* Rankings
Ranking Based On Selection: 1
Johan Alme
Instrumentering for høyenergifysikk-eksperimenter
medisinsk fysikk
FPGA
strålingstoleranse
embedded systemer
Metrics
H-Index
i10 Index
Citation
126
384
72,088
Maryam Yousefian
AI in Healthcare
Bioinformatics
Engineering
Stochastic Processes
Metrics
H-Index
i10 Index
Citation
2
0
9
Rankings
Ranking Based On Selection: 1
Johan Alme
Metrics
H-Index
i10 Index
Citation Counts
126
384
72,088
Instrumentering for høyenergifysikk-eksperimenter
medisinsk fysikk
FPGA
strålingstoleranse
embedded systemer
Rankings
Ranking Based On Selection: 2
Frode Selheim
Metrics
H-Index
i10 Index
Citation Counts
24
52
2,634
Rankings
Ranking Based On Selection: 3
Scott Rettberg
Metrics
H-Index
i10 Index
Citation Counts
13
17
974
Rankings
Ranking Based On Selection: 4
Maryam Yousefian
Metrics
H-Index
i10 Index
Citation Counts
2
0
9
AI in Healthcare
Bioinformatics
Engineering
Stochastic Processes