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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
51 | 1 | Government | BRA | Latin America | Sao Paulo | 784 | 18 | 0.62 | 0.58 | 551 | 347 | 243 | 279 | 44 | 7 | 0.91 | 1 | 50.26 | 784 | 0 | 143 | 633 |
52 | 0 | Government | BRA | Latin America | Rio Grande do Sul | 213 | 7 | 0.84 | 0.68 | 153 | 80 | 49 | 89 | 17 | 1 | 0.47 | 0 | 58.22 | 213 | 0 | 85 | 198 |
53 | 1 | Government | BRA | Latin America | Rio de Janeiro | 19 | 0 | 0.89 | 0 | 4 | 2 | 19 | 6 | 1 | 0 | 0 | 0 | 31.58 | 19 | 0 | 3 | 10 |
54 | 1 | Government | BRA | Latin America | Rio de Janeiro | 322 | 8 | 0.73 | 0.91 | 142 | 80 | 92 | 144 | 21 | 0 | 0 | 0 | 60.56 | 322 | 0 | 75 | 284 |
55 | 1 | Government | BRA | Latin America | Rio de Janeiro | 358 | 12 | 1.03 | 1.16 | 170 | 84 | 81 | 177 | 44 | 3 | 0.85 | 0 | 51.68 | 358 | 0 | 74 | 336 |
56 | 1 | Government | BRA | Latin America | Ceara | 603 | 23 | 0.89 | 0.90 | 199 | 216 | 115 | 261 | 60 | 11 | 1.88 | 0 | 51.41 | 603 | 0 | 149 | 533 |
57 | 1 | Government | BRA | Latin America | Paraiba | 166 | 1 | 0.50 | 0.28 | 89 | 53 | 32 | 64 | 6 | 0 | 0 | 0 | 71.08 | 166 | 0 | 38 | 149 |
58 | 1 | Government | BRA | Latin America | Amazonas | 166 | 1 | 1.04 | 0.82 | 88 | 44 | 37 | 77 | 15 | 1 | 0.61 | 0 | 60.24 | 166 | 0 | 58 | 153 |
59 | 1 | Government | BRA | Latin America | Para | 458 | 6 | 1.24 | 0.78 | 217 | 84 | 184 | 222 | 77 | 3 | 0.66 | 0 | 70.74 | 458 | 0 | 191 | 421 |
60 | 1 | Government | BRA | Latin America | Goias | 307 | 3 | 0.68 | 0.55 | 170 | 123 | 68 | 119 | 16 | 3 | 1.01 | 0 | 60.59 | 307 | 0 | 68 | 269 |
61 | 1 | Government | BRA | Latin America | Distrito Federal | 412 | 9 | 0.87 | 0.70 | 178 | 120 | 114 | 162 | 35 | 1 | 0.25 | 0 | 59.47 | 412 | 0 | 106 | 362 |
62 | 1 | Government | BRA | Latin America | Rio Grande do Sul | 488 | 0 | 0.69 | 0.44 | 180 | 76 | 106 | 151 | 32 | 2 | 0.41 | 0 | 67.83 | 488 | 0 | 95 | 419 |
63 | 1 | Government | BRA | Latin America | Parana | 479 | 1 | 0.70 | 0.62 | 140 | 72 | 150 | 187 | 29 | 2 | 0.42 | 0 | 56.99 | 479 | 0 | 126 | 442 |
64 | 1 | Government | BRA | Latin America | Mato Grosso do Sul | 232 | 5 | 0.74 | 0.87 | 109 | 58 | 65 | 101 | 9 | 4 | 1.73 | 0 | 70.69 | 232 | 0 | 72 | 218 |
65 | 1 | Government | BRA | Latin America | Minas Gerais | 475 | 6 | 0.67 | 0.60 | 189 | 123 | 112 | 207 | 29 | 5 | 1.06 | 0 | 55.79 | 475 | 0 | 141 | 433 |
66 | 1 | Government | BRA | Latin America | Distrito Federal | 285 | 1 | 0.49 | 0.33 | 117 | 118 | 50 | 87 | 7 | 0 | 0 | 0 | 61.40 | 285 | 0 | 53 | 249 |
67 | 1 | Government | BRA | Latin America | Sao Paulo | 722 | 63 | 1.23 | 1.30 | 278 | 305 | 213 | 416 | 122 | 13 | 1.83 | 0 | 37.40 | 722 | 0 | 156 | 663 |
68 | 1 | Government | BRA | Latin America | Bahia | 441 | 8 | 0.74 | 0.66 | 158 | 173 | 96 | 166 | 26 | 4 | 0.91 | 0 | 61.90 | 441 | 0 | 112 | 395 |
69 | 1 | Government | BRA | Latin America | Sao Paulo | 336 | 14 | 1.04 | 0.99 | 179 | 127 | 97 | 170 | 41 | 3 | 0.92 | 0 | 48.51 | 336 | 0 | 149 | 313 |
70 | 1 | Government | BRA | Latin America | Minas Gerais | 304 | 6 | 1.24 | 0.81 | 154 | 76 | 60 | 130 | 20 | 2 | 0.67 | 0 | 62.83 | 304 | 0 | 83 | 273 |
71 | 1 | Government | BRA | Latin America | Sao Paulo | 366 | 10 | 0.94 | 0.81 | 142 | 127 | 139 | 193 | 42 | 2 | 0.55 | 0 | 56.56 | 366 | 0 | 139 | 334 |
72 | 1 | Government | BRA | Latin America | Distrito Federal | 828 | 19 | 0.94 | 0.81 | 563 | 333 | 322 | 452 | 79 | 10 | 1.23 | 0 | 53.74 | 828 | 0 | 345 | 746 |
73 | 1 | Government | BRA | Latin America | Pernambuco | 451 | 2 | 0.75 | 0.54 | 161 | 135 | 62 | 131 | 29 | 3 | 0.67 | 0 | 69.40 | 451 | 0 | 85 | 395 |
74 | 1 | Government | BRA | Latin America | Parana | 444 | 16 | 0.97 | 0.93 | 167 | 156 | 132 | 177 | 52 | 3 | 0.68 | 0 | 60.14 | 444 | 0 | 162 | 404 |
75 | 1 | Government | BRA | Latin America | Santa Catarina | 297 | 12 | 0.85 | 1.02 | 118 | 97 | 64 | 129 | 24 | 2 | 0.68 | 0 | 64.31 | 297 | 0 | 107 | 277 |
76 | 1 | Government | BRA | Latin America | Sergipe | 257 | 2 | 0.62 | 0.66 | 117 | 76 | 42 | 77 | 8 | 3 | 1.19 | 0 | 61.87 | 257 | 0 | 49 | 228 |
77 | 1 | Government | BRA | Latin America | Rio Grande do Sul | 187 | 3 | 0.84 | 0.55 | 74 | 46 | 52 | 62 | 18 | 0 | 0 | 0 | 67.91 | 187 | 0 | 56 | 167 |
78 | 0 | Government | BRA | Latin America | Distrito Federal | 11,039 | 278 | 0.87 | 0.80 | 5,348 | 3,629 | 2,943 | 4,571 | 967 | 96 | 0.88 | 0 | 59.98 | 10,833 | 1 | 3,089 | 10,013 |
79 | 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 |
80 | 0 | Government | BRA | Latin America | Minas Gerais | 445 | 3 | 0.57 | 0.51 | 254 | 101 | 86 | 144 | 23 | 1 | 0.23 | 0 | 68.99 | 445 | 0 | 80 | 386 |
81 | 0 | Government | BRA | Latin America | Rio de Janeiro | 20 | 0 | 0.76 | 0 | 20 | 1 | 1 | 6 | 2 | 0 | 0 | 0 | 80 | 20 | 0 | 8 | 19 |
82 | 0 | Government | BRA | Latin America | Santa Catarina | 467 | 2 | 0.59 | 0.48 | 217 | 139 | 100 | 129 | 18 | 3 | 0.65 | 1 | 60.39 | 467 | 0 | 91 | 411 |
83 | 0 | Government | BRA | Latin America | Rio de Janeiro | 27 | 1 | 0.68 | 0.40 | 41 | 14 | 8 | 11 | 4 | 0 | 0 | 0 | 29.63 | 27 | 0 | 3 | 17 |
84 | 0 | Government | BRA | Latin America | Paraiba | 25 | 0 | 0.34 | 0.44 | 22 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 84 | 25 | 0 | 1 | 20 |
85 | 0 | Government | BRA | Latin America | Rio de Janeiro | 234 | 0 | 0.65 | 0.35 | 246 | 79 | 76 | 52 | 19 | 3 | 1.37 | 0 | 47.44 | 234 | 0 | 52 | 202 |
86 | 0 | Government | BRA | Latin America | Sao Paulo | 857 | 18 | 0.60 | 0.55 | 617 | 374 | 260 | 299 | 45 | 8 | 0.95 | 1 | 50.06 | 857 | 0 | 162 | 694 |
87 | 0 | Government | BRA | Latin America | Rio de Janeiro | 147 | 15 | 0.84 | 0.87 | 121 | 86 | 36 | 68 | 20 | 2 | 1.60 | 0 | 66.67 | 147 | 0 | 45 | 105 |
88 | 0 | Government | BRA | Latin America | Ceara | 44 | 0 | 0.57 | 0.23 | 31 | 17 | 16 | 11 | 3 | 0 | 0 | 0 | 63.64 | 44 | 0 | 8 | 39 |
89 | 0 | Government | BRA | Latin America | Ceara | 63 | 1 | 0.83 | 0.32 | 38 | 19 | 32 | 30 | 8 | 0 | 0 | 0 | 74.60 | 63 | 0 | 23 | 53 |
90 | 0 | Government | BRA | Latin America | Pernambuco | 28 | 0 | 0.39 | 0.29 | 25 | 9 | 3 | 5 | 1 | 0 | 0 | 0 | 71.43 | 28 | 0 | 5 | 19 |
91 | 0 | Government | BRA | Latin America | Bahia | 12 | 0 | 0.28 | 0.27 | 14 | 6 | 3 | 1 | 0 | 0 | 0 | 0 | 66.67 | 12 | 0 | 4 | 9 |
92 | 0 | Government | BRA | Latin America | Minas Gerais | 46 | 1 | 0.34 | 0.21 | 68 | 21 | 9 | 4 | 1 | 3 | 8.11 | 100 | 76.09 | 46 | 0 | 8 | 37 |
93 | 0 | Government | BRA | Latin America | Sao Paulo | 267 | 20 | 0.84 | 0.79 | 312 | 178 | 80 | 134 | 33 | 4 | 1.69 | 5 | 61.42 | 267 | 0 | 119 | 227 |
94 | 0 | Government | BRA | Latin America | Rio de Janeiro | 32 | 1 | 0.33 | 0.32 | 29 | 18 | 3 | 10 | 2 | 0 | 0 | 0 | 62.50 | 32 | 0 | 5 | 28 |
95 | 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 |
96 | 0 | Government | BRA | Latin America | Rio Grande do Sul | 29 | 0 | 1.25 | 0.45 | 33 | 11 | 10 | 16 | 6 | 0 | 0 | 0 | 58.62 | 29 | 0 | 8 | 29 |
97 | 0 | Government | BRA | Latin America | Minas Gerais | 31 | 0 | 0.20 | 0.13 | 37 | 18 | 2 | 3 | 0 | 0 | 0 | 0 | 90.32 | 31 | 0 | 2 | 24 |
98 | 0 | Government | BRA | Latin America | Sao Paulo | 71 | 1 | 0.61 | 0.81 | 51 | 29 | 15 | 17 | 2 | 0 | 0 | 0 | 56.34 | 71 | 0 | 22 | 63 |
99 | 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 |
100 | 0 | Government | BRA | Latin America | Rio Grande do Sul | 131 | 2 | 0.88 | 0.47 | 48 | 24 | 53 | 53 | 10 | 0 | 0 | 0 | 49.62 | 116 | 2 | 67 | 122 |