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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
151 | 0 | Government | BRA | Latin America | Rio de Janeiro | 745 | 10 | 0.75 | 0.61 | 487 | 260 | 249 | 303 | 44 | 9 | 1.23 | 4 | 41.21 | 745 | 0 | 168 | 624 |
152 | 0 | Government | BRA | Latin America | Amazonas | 2,616 | 96 | 1.08 | 0.75 | 1,582 | 1,215 | 1,303 | 1,277 | 329 | 8 | 0.31 | 4 | 55.43 | 2,548 | 1 | 1,404 | 2,331 |
153 | 0 | Government | BRA | Latin America | Sao Paulo | 2,976 | 144 | 1.53 | 0.84 | 1,729 | 1,348 | 1,504 | 1,468 | 482 | 11 | 0.37 | 1 | 61.09 | 2,976 | 0 | 1,203 | 2,597 |
154 | 0 | Government | BRA | Latin America | Rio de Janeiro | 291 | 15 | 0.87 | 0.90 | 245 | 118 | 88 | 166 | 38 | 5 | 1.77 | 0 | 28.18 | 291 | 0 | 44 | 267 |
155 | 0 | Government | BRA | Latin America | Paraiba | 184 | 1 | 0.75 | 0.31 | 95 | 48 | 38 | 58 | 15 | 0 | 0 | 0 | 66.30 | 184 | 0 | 54 | 148 |
156 | 0 | Government | BRA | Latin America | Rio de Janeiro | 26 | 0 | 0.90 | 0.67 | 27 | 4 | 6 | 11 | 4 | 0 | 0 | 0 | 65.38 | 26 | 0 | 16 | 23 |
157 | 0 | Government | BRA | Latin America | Sao Paulo | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
158 | 0 | Government | BRA | Latin America | Minas Gerais | 731 | 8 | 1.80 | 0.78 | 240 | 127 | 703 | 607 | 133 | 1 | 0.14 | 0 | 86.32 | 731 | 0 | 346 | 629 |
159 | 0 | Government | BRA | Latin America | Rio de Janeiro | 645 | 28 | 0.77 | 0.67 | 282 | 271 | 267 | 289 | 64 | 10 | 1.57 | 3 | 42.48 | 645 | 0 | 170 | 529 |
160 | 0 | Government | BRA | Latin America | Distrito Federal | 404 | 23 | 1.27 | 1.75 | 362 | 167 | 98 | 139 | 44 | 6 | 1.53 | 1 | 47.77 | 404 | 0 | 98 | 329 |
161 | 0 | Government | BRA | Latin America | Distrito Federal | 284 | 2 | 0.75 | 0.47 | 304 | 69 | 65 | 116 | 19 | 1 | 0.36 | 0 | 53.87 | 284 | 0 | 109 | 260 |
162 | 0 | Government | BRA | Latin America | Distrito Federal | 780 | 32 | 1.31 | 0.76 | 702 | 355 | 424 | 465 | 98 | 9 | 1.18 | 0 | 60.38 | 780 | 0 | 309 | 644 |
163 | 1 | Government | BRA | Latin America | Espirito Santo | 14 | 0 | 0.88 | 0.68 | 9 | 1 | 8 | 2 | 2 | 0 | 0 | 0 | 57.14 | 14 | 0 | 5 | 13 |
164 | 0 | Government | BRA | Latin America | Parana | 15 | 0 | 1.49 | 0.33 | 11 | 2 | 7 | 6 | 2 | 0 | 0 | 0 | 26.67 | 15 | 0 | 7 | 13 |
165 | 0 | Government | BRA | Latin America | Para | 1,158 | 28 | 1.13 | 0.65 | 604 | 461 | 487 | 516 | 154 | 2 | 0.18 | 2 | 56.13 | 1,128 | 1 | 550 | 1,008 |
166 | 0 | Government | BRA | Latin America | Rio de Janeiro | 861 | 18 | 2.36 | 0.69 | 332 | 240 | 714 | 717 | 223 | 1 | 0.12 | 0 | 85.13 | 861 | 0 | 477 | 757 |
167 | 0 | Government | BRA | Latin America | Sao Paulo | 27 | 2 | 0.99 | 2.22 | 26 | 6 | 5 | 10 | 3 | 0 | 0 | 0 | 51.85 | 27 | 0 | 15 | 27 |
168 | 0 | Government | BRA | Latin America | Distrito Federal | 253 | 3 | 0.75 | 0.43 | 190 | 88 | 62 | 95 | 17 | 3 | 1.20 | 0 | 45.85 | 253 | 0 | 78 | 203 |
169 | 0 | Government | BRA | Latin America | Sao Paulo | 116 | 0 | 0.59 | 0.32 | 175 | 22 | 27 | 31 | 8 | 0 | 0 | 0 | 76.72 | 116 | 0 | 36 | 98 |
170 | 0 | Government | BRA | Latin America | Pernambuco | 44 | 0 | 0.48 | 0.16 | 37 | 11 | 3 | 6 | 2 | 0 | 0 | 0 | 88.64 | 44 | 0 | 9 | 37 |
171 | 0 | Government | BRA | Latin America | Rio de Janeiro | 126 | 0 | 0.81 | 0.29 | 133 | 36 | 37 | 40 | 9 | 1 | 0.80 | 0 | 88.89 | 126 | 0 | 41 | 105 |
172 | 0 | Government | BRA | Latin America | Minas Gerais | 100 | 1 | 1.26 | 0.40 | 93 | 19 | 20 | 29 | 9 | 0 | 0 | 0 | 85 | 100 | 0 | 32 | 90 |
173 | 0 | Government | BRA | Latin America | Sao Paulo | 22 | 0 | 0.55 | 0.65 | 23 | 5 | 1 | 6 | 1 | 0 | 0 | 0 | 90.91 | 22 | 0 | 8 | 19 |
174 | 0 | Government | BRA | Latin America | Bahia | 33 | 0 | 0.96 | 0 | 32 | 2 | 15 | 16 | 4 | 0 | 0 | 0 | 87.88 | 33 | 0 | 17 | 30 |
175 | 1 | Government | BRA | Latin America | Distrito Federal | 3,023 | 207 | 1.05 | 0.96 | 1,916 | 1,702 | 1,161 | 1,831 | 389 | 58 | 1.98 | 0 | 59.71 | 3,023 | 0 | 1,647 | 2,751 |
176 | 0 | Government | BRA | Latin America | Sao Paulo | 95 | 7 | 0.92 | 0.88 | 44 | 39 | 48 | 57 | 14 | 0 | 0 | 0 | 61.05 | 95 | 0 | 59 | 81 |
177 | 0 | Government | BRA | Latin America | Sao Paulo | 158 | 2 | 0.75 | 0.61 | 156 | 30 | 49 | 70 | 11 | 0 | 0 | 0 | 53.80 | 158 | 0 | 51 | 140 |
178 | 0 | Government | BRA | Latin America | Distrito Federal | 13 | 1 | 0.43 | 0.60 | 11 | 8 | 2 | 2 | 1 | 0 | 0 | 0 | 61.54 | 13 | 0 | 3 | 12 |
179 | 1 | Government | BRA | Latin America | Minas Gerais | 55 | 3 | 0.96 | 1.26 | 37 | 17 | 18 | 29 | 7 | 0 | 0 | 0 | 32.73 | 55 | 0 | 10 | 50 |
180 | 1 | Government | BRA | Latin America | Distrito Federal | 39 | 2 | 1.01 | 1.07 | 29 | 19 | 14 | 24 | 4 | 0 | 0 | 0 | 23.08 | 39 | 0 | 5 | 39 |
181 | 1 | Government | BRA | Latin America | Sao Paulo | 43 | 3 | 0.98 | 0.93 | 22 | 14 | 28 | 24 | 11 | 2 | 4.65 | 0 | 46.51 | 43 | 0 | 13 | 38 |
182 | 0 | Health | BRA | Latin America | Rio de Janeiro | 41 | 0 | 0.70 | 0.30 | 21 | 19 | 23 | 10 | 2 | 0 | 0 | 0 | 65.85 | 41 | 0 | 16 | 34 |
183 | 0 | Health | BRA | Latin America | Rio de Janeiro | 26 | 1 | 0.67 | 0.65 | 18 | 9 | 9 | 6 | 3 | 0 | 0 | 0 | 88.46 | 26 | 0 | 8 | 20 |
184 | 0 | Health | BRA | Latin America | Sao Paulo | 120 | 20 | 2.41 | 2.43 | 12 | 52 | 106 | 58 | 42 | 2 | 1.82 | 0 | 60.83 | 120 | 0 | 49 | 106 |
185 | 1 | Health | BRA | Latin America | Sao Paulo | 35 | 3 | 1.20 | 1.24 | 13 | 30 | 2 | 13 | 4 | 2 | 5.71 | 0 | 65.71 | 35 | 0 | 14 | 34 |
186 | 0 | Health | BRA | Latin America | Minas Gerais | 84 | 5 | 0.84 | 0.84 | 83 | 54 | 37 | 44 | 8 | 0 | 0 | 0 | 53.57 | 84 | 0 | 33 | 77 |
187 | 1 | Health | BRA | Latin America | Rio de Janeiro | 60 | 2 | 2.11 | 0.95 | 47 | 14 | 41 | 38 | 16 | 3 | 5.08 | 0 | 58.33 | 60 | 0 | 30 | 50 |
188 | 0 | Health | BRA | Latin America | Minas Gerais | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 1 | 0 | 0 | 1 |
189 | 0 | Health | BRA | Latin America | Rio Grande do Sul | 18 | 1 | 0.79 | 0.76 | 20 | 13 | 10 | 10 | 2 | 3 | 17.65 | 0 | 22.22 | 18 | 0 | 2 | 16 |
190 | 1 | Health | BRA | Latin America | Sao Paulo | 141 | 2 | 1.11 | 0.95 | 83 | 44 | 47 | 98 | 18 | 0 | 0 | 0 | 65.25 | 141 | 0 | 60 | 129 |
191 | 0 | Health | BRA | Latin America | Parana | 16 | 1 | 0.81 | 2.04 | 1 | 1 | 8 | 8 | 1 | 0 | 0 | 0 | 56.25 | 16 | 0 | 6 | 15 |
192 | 0 | Health | BRA | Latin America | Distrito Federal | 36 | 0 | 2.29 | 0.36 | 15 | 8 | 28 | 22 | 4 | 1 | 2.78 | 0 | 63.89 | 36 | 0 | 28 | 32 |
193 | 1 | Health | BRA | Latin America | Rio de Janeiro | 250 | 18 | 1.58 | 1.84 | 129 | 88 | 81 | 173 | 48 | 8 | 3.24 | 0 | 75.20 | 250 | 0 | 164 | 230 |
194 | 0 | Health | BRA | Latin America | Bahia | 7 | 0 | 0.55 | 0 | 3 | 1 | 1 | 5 | 0 | 0 | 0 | 0 | 85.71 | 7 | 0 | 2 | 7 |
195 | 0 | Health | BRA | Latin America | Santa Catarina | 8 | 0 | 0.20 | 0 | 14 | 1 | 2 | 6 | 0 | 0 | 0 | 0 | 50 | 8 | 0 | 4 | 7 |
196 | 0 | Health | BRA | Latin America | Santa Catarina | 16 | 3 | 1.42 | 3.01 | 9 | 5 | 9 | 12 | 4 | 0 | 0 | 0 | 75 | 16 | 0 | 11 | 16 |
197 | 0 | Health | BRA | Latin America | Bahia | 3 | 0 | 0.06 | 0 | 3 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 2 |
198 | 0 | Health | BRA | Latin America | Rio Grande do Sul | 16 | 0 | 1.77 | 0.48 | 13 | 5 | 3 | 7 | 3 | 0 | 0 | 0 | 75 | 16 | 0 | 4 | 16 |
199 | 0 | Health | BRA | Latin America | Rondonia | 97 | 0 | 0.98 | 0.28 | 60 | 9 | 46 | 50 | 10 | 3 | 3.09 | 0 | 83.51 | 97 | 0 | 55 | 87 |
200 | 0 | Health | BRA | Latin America | Sao Paulo | 17 | 0 | 0.50 | 0.60 | 15 | 13 | 5 | 2 | 0 | 0 | 0 | 0 | 64.71 | 17 | 0 | 5 | 14 |