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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
201 | 0 | Others | BRA | Latin America | Sao Paulo | 96 | 0 | 0.29 | 0.20 | 63 | 49 | 5 | 11 | 2 | 0 | 0 | 0 | 91.67 | 37 | 1 | 18 | 88 |
202 | 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 |
203 | 0 | Others | BRA | Latin America | Sao Paulo | 4 | 0 | 0 | 0 | 6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 4 | 1 | 0 | 2 |
204 | 0 | Others | BRA | Latin America | Sao Paulo | 13 | 0 | 0.04 | 0.03 | 20 | 8 | 1 | 0 | 0 | 0 | 0 | 0 | 84.62 | 3 | 1 | 3 | 12 |
205 | 0 | Others | BRA | Latin America | Rio de Janeiro | 3 | 0 | 0.14 | 0.42 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 100 | 2 | 1 | 0 | 2 |
206 | 0 | Others | BRA | Latin America | Sao Paulo | 8 | 0 | 0.79 | 0.25 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 1 | 1 | 2 | 6 |
207 | 0 | Others | BRA | Latin America | Sao Paulo | 20 | 0 | 0.44 | 0 | 23 | 2 | 9 | 10 | 0 | 0 | 0 | 0 | 60 | 20 | 0 | 4 | 19 |
208 | 0 | Others | BRA | Latin America | Rio Grande do Sul | 589 | 17 | 1.53 | 0.79 | 412 | 228 | 217 | 270 | 88 | 4 | 0.71 | 0 | 50.42 | 589 | 0 | 188 | 517 |
209 | 0 | Others | BRA | Latin America | Sao Paulo | 4 | 0 | 0 | 0 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 100 | 1 | 1 | 0 | 2 |
210 | 0 | Others | CHL | Latin America | Metropolitana de Santiago | 1 | 0 | 0.96 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 100 | 1 | 0 | 0 | 1 |
211 | 0 | Others | CHL | Latin America | Metropolitana de Santiago | 2 | 0 | 2.81 | 0 | 2 | 0 | 2 | 2 | 1 | 0 | 0 | 0 | 100 | 2 | 0 | 2 | 2 |
212 | 1 | Private | MEX | Latin America | Mexico City | 2 | 0 | 0 | 0 | 8 | 1 | 2 | 1 | 0 | 0 | 0 | 0 | 100 | 2 | 0 | 1 | 2 |
213 | 0 | Others | CHL | Latin America | Metropolitana de Santiago | 43 | 0 | 1.54 | 0.20 | 42 | 7 | 34 | 33 | 9 | 0 | 0 | 0 | 79.07 | 43 | 0 | 27 | 38 |
214 | 0 | Health | MEX | Latin America | Mexico City | 1 | 0 | 0.33 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 |
215 | 0 | Private | COL | Latin America | Risaralda | 91 | 3 | 0.45 | 0.46 | 74 | 87 | 2 | 24 | 3 | 0 | 0 | 0 | 60.44 | 91 | 0 | 41 | 78 |
216 | 0 | Government | PAN | Latin America | Panama | 11 | 0 | 0.14 | 0.04 | 21 | 3 | 9 | 4 | 0 | 0 | 0 | 0 | 72.73 | 11 | 0 | 3 | 10 |
217 | 0 | Government | COL | Latin America | Bogota, D.C. | 12 | 0 | 1.61 | 0 | 11 | 0 | 10 | 7 | 2 | 0 | 0 | 0 | 16.67 | 12 | 0 | 4 | 10 |
218 | 0 | Government | PER | Latin America | Lima | 19 | 0 | 1.81 | 0 | 13 | 0 | 17 | 13 | 7 | 0 | 0 | 0 | 84.21 | 19 | 0 | 13 | 18 |
219 | 0 | Government | ARG | Latin America | Buenos Aires | 16 | 0 | 0.45 | 0.06 | 6 | 9 | 7 | 0 | 2 | 0 | 0 | 0 | 31.25 | 16 | 0 | 5 | 11 |
220 | 0 | Others | ARG | Latin America | Buenos Aires | 34 | 1 | 0.89 | 0.44 | 27 | 18 | 13 | 16 | 4 | 0 | 0 | 0 | 50 | 34 | 0 | 17 | 23 |
221 | 0 | Private | COL | Latin America | Antioquia | 2 | 0 | 0.62 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 2 | 0 | 0 | 1 |
222 | 0 | Private | CHL | Latin America | Los Lagos | 2 | 0 | 0.57 | 0 | 2 | 0 | 2 | 2 | 0 | 1 | 50 | 0 | 0 | 2 | 0 | 1 | 2 |
223 | 0 | Others | MEX | Latin America | Quintana Roo | 4 | 0 | 1.16 | 0 | 2 | 0 | 4 | 3 | 2 | 0 | 0 | 0 | 50 | 4 | 0 | 2 | 3 |
224 | 1 | Private | BRA | Latin America | Rio de Janeiro | 8 | 0 | 0.26 | 0.68 | 15 | 3 | 5 | 3 | 0 | 0 | 0 | 0 | 12.50 | 8 | 0 | 0 | 7 |
225 | 1 | Private | MEX | Latin America | Mexico City | 2 | 0 | 0.91 | 0.91 | 4 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 1 |
226 | 0 | Private | DOM | Latin America | Distrito Nacional | 2 | 0 | 0.48 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 100 | 2 | 0 | 0 | 2 |
227 | 0 | Government | CHL | Latin America | Metropolitana de Santiago | 105 | 3 | 1.09 | 0.53 | 83 | 68 | 42 | 64 | 10 | 0 | 0 | 0 | 54.29 | 90 | 1 | 40 | 91 |
228 | 0 | Government | ARG | Latin America | Buenos Aires | 15 | 1 | 0.61 | 0.75 | 12 | 7 | 5 | 8 | 1 | 0 | 0 | 0 | 60 | 15 | 0 | 11 | 11 |
229 | 0 | Government | PER | Latin America | Lima | 24 | 0 | 0.19 | 0.16 | 24 | 9 | 8 | 9 | 0 | 0 | 0 | 0 | 70.83 | 24 | 0 | 6 | 22 |
230 | 0 | Government | URY | Latin America | Montevideo | 17 | 0 | 0.13 | 0.09 | 13 | 10 | 9 | 6 | 0 | 0 | 0 | 0 | 41.18 | 17 | 0 | 9 | 12 |
231 | 0 | Government | BRA | Latin America | Distrito Federal | 119 | 2 | 0.71 | 0.53 | 85 | 74 | 29 | 47 | 6 | 0 | 0 | 0 | 51.26 | 119 | 0 | 32 | 105 |
232 | 0 | Government | COL | Latin America | Bogota, D.C. | 160 | 10 | 0.79 | 0.57 | 121 | 103 | 67 | 73 | 18 | 0 | 0 | 0 | 38.75 | 160 | 0 | 90 | 133 |
233 | 0 | Government | MEX | Latin America | Mexico City | 129 | 5 | 0.92 | 0.66 | 97 | 78 | 61 | 66 | 12 | 0 | 0 | 0 | 54.26 | 129 | 0 | 41 | 114 |
234 | 0 | Health | URY | Latin America | Montevideo | 5 | 0 | 0.18 | 0 | 6 | 1 | 2 | 1 | 0 | 0 | 0 | 0 | 80 | 5 | 0 | 3 | 5 |
235 | 0 | Health | VEN | Latin America | Zulia | 1 | 0 | 0.21 | 0.21 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 1 | 0 | 0 | 1 |
236 | 0 | Health | CUB | Latin America | Matanzas | 2 | 0 | 0 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 2 | 0 | 0 | 2 |
237 | 0 | Government | URY | Latin America | Montevideo | 3 | 0 | 0.43 | 0 | 2 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 100 | 3 | 0 | 0 | 3 |
238 | 0 | Private | BRA | Latin America | Distrito Federal | 25 | 0 | 0.29 | 0.12 | 42 | 9 | 2 | 1 | 0 | 0 | 0 | 1 | 56 | 25 | 0 | 3 | 18 |
239 | 0 | Health | VEN | Latin America | Distrito Capital | 14 | 0 | 0.27 | 0.16 | 16 | 4 | 9 | 3 | 0 | 0 | 0 | 0 | 57.14 | 14 | 0 | 6 | 13 |
240 | 0 | Government | ARG | Latin America | Buenos Aires | 14 | 0 | 0.34 | 0.06 | 16 | 6 | 4 | 5 | 0 | 0 | 0 | 0 | 50 | 14 | 0 | 3 | 7 |
241 | 0 | Higher educ. | DOM | Latin America | Distrito Nacional | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
242 | 0 | Private | MEX | Latin America | Mexico City | 1 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
243 | 1 | Private | BRA | Latin America | Sao Paulo | 46 | 1 | 0.65 | 1.11 | 36 | 3 | 15 | 14 | 2 | 1 | 2.17 | 1 | 71.74 | 46 | 0 | 14 | 41 |
244 | 1 | Others | SLV | Latin America | San Salvador | 16 | 0 | 0.92 | 0.78 | 13 | 4 | 16 | 12 | 1 | 0 | 0 | 0 | 75 | 16 | 0 | 7 | 13 |
245 | 1 | Private | COL | Latin America | Valle del Cauca | 18 | 1 | 0.79 | 0.67 | 22 | 8 | 14 | 8 | 2 | 0 | 0 | 0 | 72.22 | 18 | 0 | 7 | 15 |
246 | 1 | Private | MEX | Latin America | Mexico City | 5 | 0 | 0.29 | 0 | 4 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 60 | 5 | 0 | 2 | 5 |
247 | 1 | Private | ARG | Latin America | Buenos Aires | 37 | 1 | 0.76 | 0.61 | 30 | 7 | 18 | 28 | 4 | 2 | 5.41 | 0 | 62.16 | 37 | 0 | 21 | 33 |
248 | 1 | Private | BRA | Latin America | Sao Paulo | 114 | 2 | 1.76 | 0.75 | 116 | 14 | 61 | 56 | 20 | 3 | 2.65 | 1 | 77.19 | 114 | 0 | 44 | 98 |
249 | 1 | Private | MEX | Latin America | Mexico City | 7 | 0 | 1.19 | 0 | 3 | 0 | 7 | 7 | 1 | 1 | 14.29 | 0 | 85.71 | 7 | 0 | 5 | 7 |
250 | 1 | Private | COL | Latin America | Bogota, D.C. | 2 | 0 | 0.52 | 0.73 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 100 | 2 | 0 | 1 | 2 |