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 | Health | COL | Latin America | Bogota, D.C. | 4 | 0 | 0.63 | 0 | 4 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 50 | 4 | 0 | 0 | 4 |
152 | 0 | Others | MEX | Latin America | Mexico City | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
153 | 0 | Others | MEX | Latin America | Mexico City | 10 | 0 | 0.67 | 0.45 | 20 | 9 | 3 | 2 | 0 | 0 | 0 | 0 | 20 | 10 | 0 | 2 | 9 |
154 | 0 | Others | MEX | Latin America | Tamaulipas | 2 | 0 | 0.13 | 0 | 3 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 50 | 2 | 0 | 0 | 1 |
155 | 0 | Others | MEX | Latin America | Mexico City | 5 | 0 | 0.35 | 0 | 2 | 0 | 1 | 2 | 1 | 0 | 0 | 0 | 60 | 5 | 0 | 4 | 5 |
156 | 0 | Others | MEX | Latin America | Mexico City | 3 | 0 | 0.74 | 1.03 | 7 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67 | 3 | 0 | 3 | 3 |
157 | 0 | Others | MEX | Latin America | Mexico City | 8 | 0 | 0.03 | 0.06 | 9 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 37.50 | 8 | 0 | 0 | 4 |
158 | 0 | Private | MEX | Latin America | Mexico City | 1 | 0 | 0.16 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 100 | 1 | 0 | 0 | 1 |
159 | 0 | Others | MEX | Latin America | Mexico City | 1 | 0 | 0 | 0 | 7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 100 | 1 | 0 | 0 | 1 |
160 | 0 | Others | MEX | Latin America | Hidalgo | 1 | 0 | 0.29 | 0 | 3 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 100 | 1 | 0 | 0 | 1 |
161 | 0 | Others | MEX | Latin America | Mexico City | 2 | 0 | 0.59 | 0 | 4 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 50 | 2 | 0 | 0 | 2 |
162 | 0 | Others | MEX | Latin America | Mexico City | 6 | 0 | 4 | 0 | 1 | 2 | 4 | 5 | 3 | 0 | 0 | 0 | 0 | 6 | 0 | 5 | 6 |
163 | 0 | Others | MEX | Latin America | Mexico City | 9 | 0 | 0.33 | 0.13 | 28 | 1 | 3 | 1 | 0 | 0 | 0 | 0 | 88.89 | 9 | 1 | 3 | 9 |
164 | 0 | Others | PAN | Latin America | Panama | 15 | 0 | 0.84 | 0.50 | 25 | 4 | 14 | 11 | 2 | 0 | 0 | 0 | 80 | 15 | 0 | 10 | 13 |
165 | 0 | Others | GTM | Latin America | Sacatepequez | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 1 | 0 | 0 | 0 |
166 | 0 | Others | CRI | Latin America | San Jose | 5 | 0 | 1.08 | 0 | 1 | 0 | 5 | 5 | 2 | 0 | 0 | 0 | 100 | 5 | 0 | 5 | 5 |
167 | 0 | Others | PAN | Latin America | Panama | 10 | 3 | 1.08 | 1.08 | 7 | 10 | 10 | 9 | 3 | 0 | 0 | 0 | 20 | 10 | 0 | 9 | 10 |
168 | 0 | Others | PAN | Latin America | Panama | 3 | 0 | 0.16 | 0 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 66.67 | 3 | 0 | 1 | 2 |
169 | 0 | Others | NIC | Latin America | Chinandega | 4 | 0 | 0.33 | 0 | 3 | 0 | 4 | 3 | 0 | 0 | 0 | 0 | 100 | 4 | 0 | 3 | 4 |
170 | 0 | Others | COL | Latin America | Valle del Cauca | 18 | 0 | 0.24 | 0.29 | 13 | 11 | 7 | 4 | 0 | 0 | 0 | 0 | 50 | 18 | 0 | 11 | 15 |
171 | 0 | Others | PER | Latin America | Cusco | 11 | 0 | 1.53 | 0 | 13 | 0 | 9 | 9 | 3 | 0 | 0 | 0 | 63.64 | 11 | 0 | 10 | 11 |
172 | 0 | Others | CRI | Latin America | San Jose | 3 | 0 | 0.05 | 0 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 33.33 | 3 | 0 | 0 | 3 |
173 | 0 | Others | ARG | Latin America | Buenos Aires | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 1 | 0 | 0 | 0 |
174 | 0 | Others | COL | Latin America | Bogota, D.C. | 15 | 1 | 0.48 | 0.60 | 25 | 9 | 6 | 4 | 1 | 0 | 0 | 0 | 73.33 | 15 | 0 | 11 | 13 |
175 | 0 | Others | PER | Latin America | Lima | 13 | 0 | 1.07 | 0 | 3 | 0 | 13 | 8 | 2 | 0 | 0 | 0 | 76.92 | 13 | 0 | 6 | 12 |
176 | 0 | Others | URY | Latin America | Montevideo | 28 | 0 | 0.21 | 0.21 | 19 | 20 | 13 | 0 | 0 | 0 | 0 | 0 | 35.71 | 28 | 0 | 1 | 8 |
177 | 0 | Others | MEX | Latin America | Mexico City | 3 | 0 | 0 | 0 | 3 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 66.67 | 3 | 0 | 0 | 2 |
178 | 0 | Others | MEX | Latin America | Mexico City | 9 | 0 | 2.67 | 0 | 10 | 5 | 3 | 3 | 3 | 0 | 0 | 0 | 77.78 | 9 | 0 | 5 | 8 |
179 | 0 | Others | VEN | Latin America | Distrito Capital | 4 | 0 | 0.36 | 0.26 | 2 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 1 |
180 | 0 | Others | BRA | Latin America | Sao Paulo | 18 | 0 | 0.35 | 0.09 | 35 | 9 | 3 | 7 | 0 | 0 | 0 | 0 | 55.56 | 18 | 0 | 4 | 13 |
181 | 0 | Others | BRA | Latin America | Rio de Janeiro | 2 | 0 | 0 | 0 | 2 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 50 | 2 | 0 | 0 | 1 |
182 | 0 | Others | BRA | Latin America | Sao Paulo | 2 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 |
183 | 0 | Others | BRA | Latin America | Distrito Federal | 15 | 1 | 0.06 | 0.03 | 19 | 10 | 2 | 0 | 1 | 0 | 0 | 0 | 100 | 8 | 1 | 2 | 13 |
184 | 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 |
185 | 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 |
186 | 0 | Others | BRA | Latin America | Sao Paulo | 4 | 0 | 0.52 | 1.38 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 100 | 4 | 0 | 1 | 3 |
187 | 0 | Others | BRA | Latin America | Sao Paulo | 66 | 0 | 0.49 | 0.31 | 96 | 19 | 10 | 21 | 2 | 0 | 0 | 0 | 56.06 | 66 | 0 | 7 | 60 |
188 | 0 | Others | BRA | Latin America | Sao Paulo | 5 | 2 | 5.21 | 7.12 | 20 | 2 | 0 | 0 | 2 | 0 | 0 | 0 | 100 | 5 | 0 | 1 | 5 |
189 | 0 | Others | BRA | Latin America | Sao Paulo | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 0 | 1 | 1 | 0 |
190 | 0 | Others | BRA | Latin America | Rio de Janeiro | 42 | 0 | 1.46 | 0.84 | 40 | 14 | 28 | 11 | 4 | 0 | 0 | 0 | 85.71 | 23 | 1 | 17 | 37 |
191 | 0 | Others | BRA | Latin America | Rio de Janeiro | 11 | 0 | 0.39 | 0.39 | 21 | 8 | 3 | 1 | 0 | 0 | 0 | 0 | 81.82 | 6 | 2 | 3 | 7 |
192 | 0 | Others | BRA | Latin America | Sao Paulo | 3 | 0 | 0 | 0 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 |
193 | 0 | Others | BRA | Latin America | Sao Paulo | 13 | 0 | 1.47 | 1.06 | 22 | 3 | 3 | 3 | 2 | 0 | 0 | 0 | 92.31 | 9 | 1 | 2 | 10 |
194 | 0 | Others | BRA | Latin America | Ceara | 45 | 0 | 0.53 | 0.51 | 27 | 6 | 22 | 25 | 2 | 0 | 0 | 0 | 62.22 | 45 | 0 | 22 | 38 |
195 | 0 | Others | BRA | Latin America | Sao Paulo | 3 | 0 | 0.98 | 0.86 | 1 | 2 | 0 | 3 | 0 | 0 | 0 | 0 | 33.33 | 3 | 0 | 2 | 3 |
196 | 0 | Others | BRA | Latin America | Minas Gerais | 5 | 0 | 0.45 | 0.10 | 5 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 40 | 5 | 0 | 1 | 5 |
197 | 0 | Others | BRA | Latin America | Sao Paulo | 29 | 0 | 0.60 | 0.54 | 31 | 9 | 7 | 10 | 2 | 0 | 0 | 0 | 55.17 | 29 | 0 | 11 | 27 |
198 | 0 | Others | BRA | Latin America | Santa Catarina | 18 | 1 | 1.11 | 1.42 | 17 | 4 | 3 | 3 | 3 | 0 | 0 | 0 | 83.33 | 18 | 0 | 4 | 17 |
199 | 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 |
200 | 0 | Others | BRA | Latin America | Sao Paulo | 4 | 0 | 0.33 | 0.72 | 7 | 2 | 4 | 3 | 0 | 0 | 0 | 0 | 75 | 4 | 0 | 3 | 3 |