Institution | Level | Sector | Country | World Region | Region | Output | Excellence with Leadership | Normalized Impact | Normalized Impact Leadership | Scientific Talent Pool | Scientific Leadership | International Collaboration | High Quality Publications | Excellence | Innovative Knowledge | Technological Impact | Patents | Open Access | Not Own Journals | Own Journals | PlumX | Mendeley |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 1 | Private | BRA | Latin America | Sao Paulo | 2 | 0 | 2.26 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 2 |
2 | 1 | Private | BRA | Latin America | Sao Paulo | 3 | 0 | 1.12 | 0 | 3 | 0 | 3 | 3 | 1 | 0 | 0 | 0 | 100 | 3 | 0 | 3 | 3 |
3 | 0 | Private | BRA | Latin America | Sao Paulo | 22 | 0 | 0.74 | 0 | 16 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 31.82 | 22 | 0 | 0 | 17 |
4 | 0 | Others | BRA | Latin America | Rio de Janeiro | 1 | 0 | 1.04 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 |
5 | 0 | Others | BRA | Latin America | Rio de Janeiro | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 2 | 0 | 0 | 1 |
6 | 0 | Others | BRA | Latin America | Sao Paulo | 33 | 0 | 1.08 | 0 | 4 | 0 | 18 | 21 | 3 | 0 | 0 | 0 | 42.42 | 33 | 0 | 6 | 30 |
7 | 0 | Others | BRA | Latin America | Minas Gerais | 15 | 0 | 0.88 | 0 | 5 | 0 | 13 | 10 | 1 | 0 | 0 | 0 | 73.33 | 15 | 0 | 10 | 14 |
8 | 0 | Private | BRA | Latin America | Sao Paulo | 1 | 0 | 1.36 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 5 | 100 | 1 | 0 | 1 | 1 |
9 | 0 | Health | BRA | Latin America | Minas Gerais | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 1 | 0 | 0 | 1 |
10 | 2 | Government | BRA | Latin America | Sao Paulo | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
11 | 0 | Others | BRA | Latin America | Rio de Janeiro | 3 | 0 | 0.36 | 0 | 1 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 66.67 | 3 | 0 | 2 | 3 |
12 | 1 | Government | BRA | Latin America | Goias | 2 | 0 | 0 | 0 | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 2 |
13 | 0 | Higher educ. | BRA | Latin America | Sao Paulo | 1 | 0 | 1.76 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
14 | 1 | Higher educ. | BRA | Latin America | Sao Paulo | 4 | 0 | 0.58 | 0 | 4 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 3 | 3 |
15 | 0 | Higher educ. | BRA | Latin America | Sao Paulo | 1 | 0 | 1.58 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
16 | 0 | Higher educ. | BRA | Latin America | Rio de Janeiro | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 1 | 0 | 0 | 1 |
17 | 0 | Higher educ. | BRA | Latin America | Sao Paulo | 4 | 0 | 0.52 | 0 | 3 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 75 | 4 | 0 | 1 | 4 |
18 | 0 | Health | BRA | Latin America | Rio Grande do Sul | 5 | 0 | 1.18 | 0 | 1 | 0 | 1 | 2 | 1 | 0 | 0 | 0 | 20 | 5 | 0 | 2 | 3 |
19 | 1 | Private | BRA | Latin America | Rio Grande do Sul | 37 | 0 | 0.95 | 0 | 11 | 0 | 7 | 19 | 4 | 0 | 0 | 0 | 59.46 | 37 | 0 | 5 | 34 |
20 | 0 | Health | BRA | Latin America | Sao Paulo | 6 | 0 | 0.03 | 0 | 2 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 100 | 6 | 0 | 0 | 6 |
21 | 0 | Health | BRA | Latin America | Sao Paulo | 13 | 0 | 0.53 | 0 | 12 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 84.62 | 13 | 0 | 5 | 11 |
22 | 0 | Private | BRA | Latin America | Maranhao | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
23 | 0 | Health | BRA | Latin America | Minas Gerais | 7 | 0 | 0.83 | 0 | 3 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 57.14 | 7 | 0 | 2 | 7 |
24 | 1 | Private | BRA | Latin America | Parana | 1 | 0 | 0.12 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 100 | 47 | 0 | 1 | 0 | 0 | 1 |
25 | 0 | Government | BRA | Latin America | Rio de Janeiro | 4 | 0 | 0.19 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 75 | 4 | 0 | 0 | 3 |
26 | 0 | Higher educ. | BRA | Latin America | Amazonas | 7 | 0 | 0.51 | 0 | 7 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 85.71 | 7 | 0 | 1 | 6 |
27 | 0 | Higher educ. | BRA | Latin America | Rio de Janeiro | 1 | 0 | 0.68 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 1 | 0 | 0 | 1 |
28 | 1 | Private | BRA | Latin America | Sao Paulo | 9 | 0 | 0.72 | 0 | 5 | 0 | 5 | 3 | 1 | 0 | 0 | 0 | 77.78 | 9 | 0 | 1 | 9 |
29 | 0 | Health | BRA | Latin America | Sao Paulo | 8 | 0 | 0.51 | 0 | 3 | 0 | 2 | 3 | 0 | 0 | 0 | 0 | 50 | 8 | 0 | 1 | 8 |
30 | 1 | Higher educ. | BRA | Latin America | Bahia | 2 | 0 | 0.91 | 0 | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 2 |
31 | 1 | Higher educ. | BRA | Latin America | Paraiba | 12 | 0 | 1.43 | 0 | 14 | 0 | 3 | 3 | 2 | 0 | 0 | 0 | 91.67 | 12 | 0 | 4 | 11 |
32 | 0 | Higher educ. | BRA | Latin America | Sao Paulo | 1 | 0 | 0.47 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
33 | 0 | Higher educ. | BRA | Latin America | Sao Paulo | 4 | 0 | 0.14 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 75 | 4 | 0 | 1 | 4 |
34 | 0 | Higher educ. | BRA | Latin America | Amazonas | 1 | 0 | 0.32 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
35 | 1 | Higher educ. | BRA | Latin America | Pernambuco | 4 | 0 | 2.61 | 0 | 3 | 0 | 4 | 3 | 0 | 0 | 0 | 0 | 100 | 4 | 0 | 3 | 4 |
36 | 0 | Higher educ. | BRA | Latin America | Distrito Federal | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 100 | 1 | 0 | 0 | 1 |
37 | 0 | Higher educ. | BRA | Latin America | Distrito Federal | 4 | 0 | 0.26 | 0 | 5 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 100 | 4 | 0 | 1 | 4 |
38 | 0 | Higher educ. | BRA | Latin America | Rio Grande do Sul | 5 | 0 | 0.31 | 0 | 4 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 80 | 5 | 0 | 4 | 5 |
39 | 0 | Higher educ. | BRA | Latin America | Sao Paulo | 1 | 0 | 0.16 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 1 | 0 | 0 | 1 |
40 | 0 | Higher educ. | BRA | Latin America | Pernambuco | 3 | 0 | 0.30 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 3 | 0 | 0 | 3 |
41 | 0 | Government | BRA | Latin America | Minas Gerais | 5 | 0 | 0.47 | 0 | 6 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 40 | 5 | 0 | 2 | 5 |
42 | 0 | Others | BRA | Latin America | Minas Gerais | 1 | 0 | 0.37 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 1 | 0 | 0 | 1 |
43 | 0 | Health | BRA | Latin America | Rio Grande do Sul | 6 | 0 | 0.74 | 0 | 11 | 0 | 2 | 3 | 0 | 0 | 0 | 0 | 66.67 | 6 | 0 | 5 | 6 |
44 | 0 | Others | BRA | Latin America | Sao Paulo | 5 | 0 | 1.48 | 0 | 6 | 0 | 5 | 4 | 2 | 0 | 0 | 0 | 80 | 5 | 1 | 4 | 5 |
45 | 0 | Government | BRA | Latin America | Sao Paulo | 9 | 0 | 0.90 | 0 | 7 | 0 | 0 | 4 | 1 | 0 | 0 | 0 | 100 | 9 | 0 | 4 | 9 |
46 | 0 | Others | BRA | Latin America | Rio Grande do Sul | 1 | 0 | 0.51 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 |
47 | 0 | Others | BRA | Latin America | Amazonas | 4 | 0 | 0.57 | 0 | 2 | 0 | 3 | 4 | 0 | 0 | 0 | 0 | 50 | 4 | 0 | 4 | 4 |
48 | 0 | Others | BRA | Latin America | Sao Paulo | 2 | 0 | 1.56 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 100 | 2 | 0 | 1 | 2 |
49 | 0 | Private | BRA | Latin America | Sao Paulo | 3 | 0 | 0.28 | 0 | 3 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 66.67 | 3 | 0 | 2 | 3 |
50 | 0 | Health | BRA | Latin America | Para | 9 | 0 | 1.20 | 0 | 11 | 0 | 3 | 3 | 1 | 0 | 0 | 0 | 100 | 9 | 0 | 6 | 7 |