The ranking of “Top 100” scientists is based on total h-index scores. Top 100 scientists can be ranked globally or specific to the following regions including Africa, Asia, Europe, North America, Latin America, Oceania, Arab League, EECA, BRICS, and COMESA 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, and Social Sciences. According to Total H. BETA VERSION. Subject field ranking in world, region, country and university is beta version since subject field "others" (679,616 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. Therefore, you may wish to specify your subject and branch and contribute in order to standardize your performance. Determining the subjects/departments, to which scientific fields would belong, may seem easy in some branches and in a variety of countries. However, it may create considerable confusion in some other countries, regions, and schools. We would like to emphasize that the following fields including Engineering, Natural and Environmental Sciences, Biology, Biochemistry, Material Science, Biotechnology, Chemistry, and Social Sciences may exist in quite variable spectrums in different countries. Therefore, we would like to stress that the standardization of subjects and branches has not been easy. To perform standardizations, we accepted the official names of the institutions and academic branches as accurate in the way that they were specified on the university website. We have developed this strategy in order to standardize this complex situation at least partially. Furthermore, we started a procedure to add an as “i” at the end of the names of the authors when a scientific paper of interest included many authors such as CERN, ATLAS, ALICE, CMS, Statistical Data, Guideline, Updates etc. scientific papers. We think that new criteria will be defined to be implemented for such studies. Until further criteria are described, we marked such studies with a “i” sign.
# | AD Scientific Index - Oceania World Scientists Rankings - World Top 100 Rankings 2024 | H INDEX | i10 INDEX | CITATION | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Rank |
University / Institution |
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 |
1 | 598 | 5,590 | 42,813 | 1,568,899 |
|
New Zealand | Massey University |
Economics & Econometrics / Accounting & Finance
Financial services marketing | bank marketing | |
1 | 1 | 1.000 | 0 | 0 | 0 | 3 | 3 | 1.000 |
2 | 1,319 | 36,635 | 42,813 | 1,568,899 |
|
Australia | University of Adelaide |
Economics & Econometrics / Accounting & Finance
finance | macroeconomics | applied econometrics | |
1 | 1 | 1.000 | 0 | 0 | 0 | 3 | 3 | 1.000 |
3 | 2,284 | 36,635 | 42,813 | 1,568,899 |
|
Australia | University of New South Wales |
Economics & Econometrics / Accounting & Finance
Corporate Finance | International Finance | M&As | |
1 | 1 | 1.000 | 0 | 0 | 0 | 3 | 3 | 1.000 |
4 | 674 | 36,635 | 42,813 | 1,568,899 |
|
Australia | University of Wollongong |
Economics & Econometrics / Accounting & Finance
Finance and investments | |
1 | 1 | 1.000 | 0 | 0 | 0 | 3 | 1 | 0.333 |
5 | 428 | 5,599 | 42,882 | 1,581,074 |
|
New Zealand | Auckland University of Technology |
Economics & Econometrics / Accounting & Finance
Behavioral finance | investor sentiment | market microstructure | natural language processing | |
1 | 1 | 1.000 | 0 | 0 | 0 | 2 | 2 | 1.000 |
6 | 912 | 36,690 | 42,882 | 1,581,074 |
|
Australia | Curtin University |
Economics & Econometrics / Accounting & Finance
Finance & Banking | |
1 | 1 | 1.000 | 0 | 0 | 0 | 2 | 1 | 0.500 |
7 | 1,217 | 36,690 | 42,882 | 1,581,074 |
|
Australia | Macquarie University |
Economics & Econometrics / Accounting & Finance
Financial Economics | Monetary Policy | Asset Pricing | |
1 | 1 | 1.000 | 0 | 0 | 0 | 2 | 2 | 1.000 |
8 | 922 | 5,599 | 42,882 | 1,581,074 |
|
New Zealand | University of Otago |
Economics & Econometrics / Accounting & Finance
Derivatives and Quantitative Finance | |
1 | 1 | 1.000 | 0 | 0 | 0 | 2 | 2 | 1.000 |
9 | 2,380 | 36,690 | 42,882 | 1,581,074 |
|
Australia | University of Sydney |
Economics & Econometrics / Accounting & Finance
|
1 | 1 | 1.000 | 0 | 0 | 0 | 2 | 2 | 1.000 |
10 | 2,290 | 36,733 | 42,940 | 1,593,940 |
|
Australia | University of New South Wales |
Economics & Econometrics / Accounting & Finance
Market microstructure | asset pricing | statistical trading strategies | high frequency tradin | |
1 | 1 | 1.000 | 0 | 0 | 0 | 1 | 1 | 1.000 |
11 | 603 | 5,623 | 43,042 | 1,609,955 |
|
New Zealand | Massey University |
Economics & Econometrics / Accounting & Finance
Corporate Finance | Cultural Finance | Risk Management | |
1 | 0 | 0.000 | 0 | 0 | 0 | 1 | 0 | 0.000 |
12 | 6 | 6 | 43,068 | 1,612,973 |
|
Solomon Islands | Solomon Islands National University |
Economics & Econometrics / Accounting & Finance
|
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |