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 and University Subject Rankings. Click here for individual or institutional registration.
AD Scientific Index - World Scientists Rankings - 2024 | H INDEX | i10 INDEX | CITATION | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 |
21 | 681 | 5,358 | 159,231 |
|
Mexico | International Maize and Wheat Improvement Center (CIMMYT) |
Agriculture & Forestry / Agricultural Economics
Agricultural Economics | Microeconometrics | Marketing | Household modeling | |
36 | 33 | 0.917 | 62 | 54 | 0.871 | 6,514 | 4,722 | 0.725 |
30 | 1,639 | 12,056 | 273,184 |
|
Mexico | International Maize and Wheat Improvement Center (CIMMYT) |
Agriculture & Forestry / Agricultural Economics
Agricultural Economics | |
27 | 25 | 0.926 | 56 | 46 | 0.821 | 4,291 | 2,998 | 0.699 |
33 | 2,389 | 17,437 | 353,630 |
|
Mexico | International Maize and Wheat Improvement Center (CIMMYT) |
Agriculture & Forestry / Agricultural Economics
agricultural economics | consumer behavior | market research | seed systems | |
23 | 22 | 0.957 | 34 | 32 | 0.941 | 3,317 | 2,292 | 0.691 |
54 | 6,776 | 45,392 | 718,638 |
|
Mexico | International Maize and Wheat Improvement Center (CIMMYT) |
Agriculture & Forestry / Agricultural Economics
Sustainable intensification | Agricultural economics | Machine learning | Climate change adaptation | |
13 | 12 | 0.923 | 14 | 14 | 1.000 | 569 | 555 | 0.975 |